Search Submissions 🔎

Results for "oncology case": 240 found

4DCT Vs 5DCT: How to Generate an Accurate Target Volume

Authors: Ryan Andosca, Rojine T. Ariani, Peter Boyle, Minji Victoria Kim, Michael Vincent Lauria, Daniel A. Low, Claudia R. Miller, Drew Moghanaki, Louise Naumann, Dylan P. O'Connell, Ricky R Savjani

Affiliation: Department of Radiation Oncology, University of California, Los Angeles, University of California, Los Angeles, UCLA Radiation Oncology

Abstract Preview: Purpose: To demonstrate that 5DCT can provide an accurate internal tumor volume (ITV) while 4DCT cannot.
Methods: The 5DCT imaging protocol uses a motion model and 25 deformably registered free-bre...

A Dosimetric Study of Misconnection to Unloaded Needles in Interstitial HDR Brachytherapy

Authors: Shifeng Chen, Mariana Guerrero, Brian A. Hrycushko, Kai Huang, Kai Jiang, Narottam Lamichhane, Paul M. Medin, Elizabeth Nichols

Affiliation: Department of Radiation Oncology, UT Southwestern Medical Center, University of Maryland School of Medicine, Department of Radiation Oncology, University of Maryland School of Medicine, Department of Radiation Oncology, University of Maryland Medical Center

Abstract Preview: Purpose: Unloaded needle catheters, if not handled properly, pose a risk for channel misconnection in interstitial high dose rate (iHDR) brachytherapy. This study aims to investigate the dosimetric im...

A Dual Energy CT-Guided Intelligent Radiation Therapy Platform

Authors: Jiayi Chen, Manju Liu, Ning Wen, Haoran Zhang, Yibin Zhang

Affiliation: Department of Radiation Oncology, Ruijin Hospital, Department of Radiology, Ruijin Hospital Shanghai Jiaotong University School of Medicine, Duke Kunshan University, Department of Radiation Oncology,Ruijin Hospital, Shanghai Jiao Tong University School of Medicine

Abstract Preview: Purpose: This study introduces a novel Dual Energy CT (DECT)-Guided Intelligent Radiation Therapy (DEIT) platform designed to streamline and optimize the radiotherapy process. The DEIT system combines...

A Foundational Model for Medical Imaging Modality Translation in Head and Neck Radiotherapy

Authors: Jie Deng, Yunxiang Li, Xiao Liang, Weiguo Lu, Jiacheng Xie, You Zhang

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, University of Texas Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, The University of Texas at Dallas

Abstract Preview: Purpose: Recently, foundational models trained on large datasets have shown remarkable performance across various tasks. Developing a foundational model for medical image modality translation in head-...

A Hybrid 4π-Proton Arc Robust Optimization

Authors: Wenhua Cao, Xianjin Dai, PhD, Hadis Moazami Goudarzi, Gino Lim, Miaolan Xie, Lei Xing, Lewei Zhao

Affiliation: University of Chicago Booth School of Business, Department of Radiation Oncology, Stanford University, Department of Industrial Engineering, University of Houston, Department of Radiation Physics, The University of Texas MD Anderson Cancer Center

Abstract Preview: Purpose: Proton Arc Therapy (PAT) delivers a continuous dose of radiation during gantry rotation. 4π is a non-coplanar technique used for advanced proton therapy delivery. This work proposes a hybrid ...

A Hybrid Population-Based and Patient-Specific Framework for 2D–3D Deformable Registration-Driven Limited-Angle Cone-Beam CT Estimation

Authors: Xiaoxue Qian, Hua-Chieh Shao, You Zhang

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center

Abstract Preview: Purpose:
Limited-angle CBCT (LA-CBCT) reduces imaging time and dose but suffers from under-sampling artifacts. 2D–3D deformable registration addresses this problem by estimating LA-CBCTs from defor...

A Method for Forward Planning with the Venezia HDR Applicator

Authors: Timothy J Allen, David A. Sterling

Affiliation: University of Minnesota Physicians, Department of Radiation Oncology, University of Minnesota, Minneapolis

Abstract Preview: Purpose: Treatment planning for the Venezia HDR brachytherapy applicator is often performed using inverse planning tools such as IPSA or HIPO. However, there are planners who are either unfamiliar wit...

A Monte Carlo Framework for Automated Quality Assurance of Dynamically Collimated Pencil Beam Scanning Clinical Treatment Deliveries

Authors: Laura Bennett, Wesley S. Culberson, Albert Du, Kevin J. Erhart, Ryan T. Flynn, Ryan Gardner, Alonso N. Gutierrez, Patrick M Hill, Daniel E. Hyer, Eric Jensen, Kaustubh A. Patwardhan, Blake R. Smith, Nhan Vu, Karsten K. Wake

Affiliation: University of Wisconsin, Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin - Madison, Miami Cancer Institute, Baptist Health South Florida, Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, Ion Beam Applications (IBA), University of Iowa, Iowa Health Care, .decimal

Abstract Preview: Purpose: To develop and experimentally validate a novel Monte Carlo (MC) framework designed to enable calculation-based quality assurance (QA) for collimated intensity modulated proton therapy treatme...

A Monte Carlo-Based Secondary Dose Verification Tool for Treatment Plans of Robotic Radiosurgery System

Authors: Chuxiong Ding, Xuejun Gu, Heejung Kim, Weiguo Lu, Yang Kyun Park, Yulong Yan

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, University of Texas Southwestern Medical Center, Department of Radiation Oncology, Stanford University School of Medicine

Abstract Preview: Purpose: The purpose of this study was to develop and evaluate a Monte Carlo (MC) dose calculation software (DosemanCK) for secondary dose verification of CyberKnife (CK) treatment plans. Unlike tradi...

A New Way to Assess Dynamic Response of Centrally Located Lung Cancer (CLLC) to SBRT and Conventional Radiation Therapy (CRT)

Authors: Nina Burbure, Tawfik Giaddui, Shidong Li, Curtis Miyamoto, Jeremy Price, Bin Wang

Affiliation: FCCC at Temple University Hospital, Dept. of Radiation Oncology, Fox Chase Cancer Center at Temple University Hospital

Abstract Preview: Purpose: Higher rates of local failures and toxicities challenged radiation therapy of centrally located lung cancer (CLLC). We assessed the treatment response by measuring the early changes of PET+ n...

A Novel Proton Lattice Modality Using Minibeams

Authors: Hao Gao, Yuting Lin, Nimita Shinde, Weijie Zhang

Affiliation: Department of Radiation Oncology, University of Kansas Medical Center

Abstract Preview: Purpose: LATTICE, a form of spatially fractionated radiation therapy (SFRT), delivers high-dose peaks and low-dose valleys to the target volume and has been clinically used for large target volumes. H...

A Quantitative Analysis of Interplay Effects in IMPT for Lung Cancer SBRT: Comparing Two Machine Delivery Sequence Models

Authors: Xiaoda Cong, Xuanfeng Ding, Gang Liu, Peilin Liu, Lewei Zhao

Affiliation: Department of Radiation Oncology, Stanford University, Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Corewellhealth William Beaumont University Hospital

Abstract Preview: Purpose: This study quantitatively evaluates the interplay effect in intensity-modulated proton therapy (IMPT) for lung cancer stereotactic body radiotherapy (SBRT) using two different machine deliver...

A Robust Quantitative Metric for Optimal Beam Selection in Radiotherapy of the Peripheral Lung Lesions: A Crucial Step in Standardization of Lung SBRT

Authors: Leslie Bell, Kai Ding, Reza Farjam, Russell K Hales, Sarah Han-Oh, Hamed Hooshangnejad, Jina Lee, K. Ranh Voong

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Johns Hopkins University

Abstract Preview: Purpose: Optimal beam arrangement is crucial in automation and standardization of thorax radiotherapy where substantial tissue heterogeneity and several critical organs at risks (OARs) exist. Here, we...

A SAM-Guided and Match-Based Semi-Supervised Segmentation Framework for Medical Imaging

Authors: Weiguo Lu, Jax Luo, Xiaoxue Qian, Hua-Chieh Shao, Guoping Xu, You Zhang

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, Harvard Medical School

Abstract Preview: Purpose:
Semi-supervised segmentation leverages sparse annotation information to learn rich representations from combined labeled and label-less data for segmentation tasks. This study leverages th...

A Semi-Automated Landmark Identification Framework for Liver MR-CT Image Pairs: Towards a Multi-Modality DIR Benchmark Dataset

Authors: Deshan Yang, Zhendong Zhang

Affiliation: Duke University, Department of Radiation Oncology, Duke University

Abstract Preview: Purpose:
The evaluation of deformable image registration (DIR) algorithms is crucial for improving accuracy and clinical adoption. However, reliable benchmarks, especially for inter-modality regist...

A Vision-Language Model for T1-Contrast Enhanced MRI Generation for Glioma Patients

Authors: Zachary Buchwald, Zach Eidex, Richard L.J. Qiu, Justin R. Roper, Mojtaba Safari, Hui-Kuo Shu, Xiaofeng Yang, David Yu

Affiliation: Emory University and Winship Cancer Institute, Emory University, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose: Gadolinium-based contrast agents (GBCA) are commonly used for patients with gliomas to delineate and characterize the brain tumors using T1-weighted (T1W) MRI. However, there is a rising conc...

AI Auto-Contouring for CT-Based High-Dose-Rate Interstitial Brachytherapy of Cervical Cancer: Implications for Organ-at-Risk (OAR) Contouring and Dosimetric Analysis

Authors: Indrin J. Chetty, Jing Cui, Mitchell Kamrava, Tiffany M. Phillips, Jennifer M. Steers, Brad Stiehl

Affiliation: Department of Radiation Oncology,Cedars-Sinai Medical Center, Cedars-Sinai Medical Center

Abstract Preview: Purpose: Auto-contouring for HDR interstitial brachytherapy can be confounded by large deformation in anatomy and image quality. Here we evaluated the performance of an AI-based auto-contouring softwa...

AI Implementation in Radiation Oncology Should be Strictly Regulated

Authors: Mu-Han Lin

Affiliation: Department of Radiation Oncology, UT Southwestern Medical Center

Abstract Preview: The rapid expansion of AI in Radiation Oncology is reshaping patient care, treatment planning, and institutional investments. Yet, with no standardized framework for evaluating cost-effectiveness, saf...

Adaptive Proton Flash Therapy through Iterative Modular Pin Recycling

Authors: Zachary Diamond, Pretesh Patel, Sibo Tian, Xiaofeng Yang, David Yu, Ahmal Jawad Zafar, Jun Zhou

Affiliation: Emory University, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose:
We propose a method to optimize adaptive proton FLASH therapy (ADP-FLASH) using modularized pin-ridge filters (pRFs) by recycling module pins from the initial plan, reducing pRF adjustment...

Advanced Daily Imaging Technology Improves Tracking of Soft Tissue Decomposition for Head and Neck Cancer Patients Receiving Radiotherapy

Authors: Robert K Chin, Klea Hoxha, Erika Jank, Jesus Juarez, Eulanca Yuka Liu, Dylan P. O'Connell, X. Sharon Qi, Ricky R Savjani

Affiliation: Department of Radiation Oncology, University of California, Los Angeles, University of California, Los Angeles, UCLA Radiation Oncology

Abstract Preview: Purpose:
Daily cone beam CT (CBCT) images are acquired prior to each radiotherapy treatment for verifying patient positioning. HyperSight is an advanced imaging solution that replaces standard CBCT...

Advancements and Cost-Effectiveness of Proton Therapy in the Global Oncology Landscape

Authors: Aman Anand, Jonathan B. Ashman, Martin Bues, Brady S. Laughlin, Lisa McGee, Justin Pettit, Fan Yang, Libing Zhu

Affiliation: Department of Radiation Oncology Mayo Clinic, Mayo Clinic Arizona, Mayo Clinic

Abstract Preview: Purpose: Proton therapy (PT) offers significant clinical and economic benefits across various cancers, whereas it also has faced skepticism due to its historically high costs and perceived overuse in ...

Advancing Cardiac Sparing with Upright Patient Geometry and Deep Learning

Authors: Shae Gans, Carri K. Glide-Hurst, Mark Pankuch, Chase Ruff, Niek Schreuder, Nicholas R. Summerfield, Yuhao Yan

Affiliation: Departments of Human Oncology and Medical Physics, University of Wisconsin-Madison, Northwestern Medicine Proton Center, Northwestern Medicine Chicago Proton Center, Leo Cancer Care

Abstract Preview: Purpose: Novel upright patient positioners coupled with diagnostic-quality vertical CT at treatment isocenter introduce a significant opportunity for improved image-guided particle therapy. Treating p...

Advancing Deep Segmentation Accuracy in CBCT for Radiotherapy Via Robust Scatter Mitigation: First Results from a Pilot Trial

Authors: Cem Altunbas, Farhang Bayat, Roy Bliley, Rupesh Dotel, Brian Kavanagh, Uttam Pyakurel, Tyler Robin, Ryan Sabounchi

Affiliation: Department of Radiation Oncology, University of Colorado School of Medicine, Taussig Cancer Center, Cleveland Clinic, University of Colorado Anschutz Medical Campus

Abstract Preview: Purpose: Automatic segmentation of anatomical structures in CBCT images is key to enabling dose delivery monitoring and online plan modifications in radiotherapy. However, poor image quality can degra...

Advancing the Evaluation of Radiation-Induced Vaginal Toxicity Using Ultrasound Radiomics: Phantom Validation and Pilot Clinical Study

Authors: Himanshu Joshi, Tian Liu, Deborah C Marshall, Joseph Shelton, Jing Wang, Xiaofeng Yang, Emi Yoshida, Boran Zhou

Affiliation: Department of Radiation Oncology, Baylor College of Medicine, Icahn School of Medicine at Mount Sinai, Emory University, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, Department of Radiation Oncology, University of California, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose: Radiation-induced long-term toxicities, such as vaginal stenosis, significantly impact the quality of life for patients undergoing pelvic radiotherapy (RT) for gynecologic (GYN) malignancies....

Adversarial Diffusion-Based Self-Supervised Learning for High-Resolution MR Imaging

Authors: Zachary Buchwald, Chih-Wei Chang, Zach Eidex, Richard L.J. Qiu, Mojtaba Safari, Shansong Wang, Xiaofeng Yang, David Yu

Affiliation: Emory University and Winship Cancer Institute, Emory University, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose: MRI offers excellent soft tissue contrast for diagnosis and treatment but suffers from long acquisition times, causing patient discomfort and motion artifacts. To accelerate MRI, supervised d...

Advocating for Survival Prediction Models in Risk Stratification for Cancer Treatment Outcomes

Authors: Meixu Chen, Jing Wang

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center

Abstract Preview: Purpose: Cancer treatment outcome prediction plays a pivotal role in guiding therapeutic decisions and optimizing patient care. Traditionally, binary prediction models have been widely used for risk s...

An Adaptive Non-Local Means Filtering Method for Denoising CBCT Images Under Low X-Ray Fluence Conditions

Authors: Cem Altunbas, Farhang Bayat

Affiliation: Department of Radiation Oncology, University of Colorado School of Medicine, Taussig Cancer Center, Cleveland Clinic

Abstract Preview: Purpose:
Low dose imaging and scatter rejection hardware in CBCT reduces X-ray fluence incident on the imager, increasing noise, causing photon starvation artifacts in CBCT images. In this work, we...

An Automated Notification System for Identifying Patients Eligible for Biology-Guided Radiotherapy

Authors: Shahed Badiyan, Bin Cai, Tu Dan, Michael Dohopolski, Steve B. Jiang, Deepkumar Mistry, Arnold Pompos, Robert Timmerman, Jing Wang

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab & Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, University of Texas Southwestern Medical Center, Department of Radiation Oncology, UT Southwestern Medical Center

Abstract Preview: Purpose: Biology-guided radiotherapy (BGRT) offers significant potential for personalized and adaptive cancer treatment, with clinically available systems such as SCINTIX from Reflexion now being intr...

An Automated Solution to Staged Treatments for Arteriovenous Malformations in Gammaknife

Authors: Strahinja Stojadinovic, Robert Timmerman, Yulong Yan

Affiliation: Department of Radiation Oncology, UT Southwestern Medical Center, The University of Texas Southwestern Medical Center, University of Texas Southwestern Medical Center

Abstract Preview: Purpose: Radiosurgery for large (>10cc) arteriovenous malformations (AVMs) poses significant challenges due to increased risks of complications and lower obliteration rates. To mitigate toxicity, larg...

An Automated Tool for the Categorization of a Clinical Database By Anatomic Region for Big Data Applications

Authors: Yasin Abdulkadir, Justin Hink, James M. Lamb, Jack Neylon

Affiliation: Department of Radiation Oncology, University of California, Los Angeles

Abstract Preview: Purpose: Curation remains a significant barrier to the use of ‘big data’ radiotherapy planning databases of 100,000 patients or more. Anatomic site of treatment is an important stratification for almo...

An Efficient Deep Learning Model with Multi-Scale Integration for Automated Pancreas Segmentation on MR Images

Authors: Jingyun Chen, Yading Yuan

Affiliation: Columbia University Irving Medical Center, Department of Radiation Oncology

Abstract Preview: Purpose: To develop and evaluate the Scale-attention network (SANet) for automated pancreas segmentation on MR images.
Methods: To develop SANet, we extended the classic U-Net design with a dynamic...

An Energy Layer Optimization Approach for Spot Scanning Proton Arc Therapy

Authors: Wenhua Cao, Hadis Moazami Goudarzi, Madison Emily Grayson, Zongsheng Hu, Gino Lim, Steven Hsesheng Lin, Radhe Mohan

Affiliation: The University of Texas MD Anderson Cancer Center, Department of Industrial Engineering, University of Houston, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Department of Radiation Physics, The University of Texas MD Anderson Cancer Center

Abstract Preview: Purpose: Proton Arc Therapy (PAT) offers significant potential in treating complex cancer cases by delivering a continuous radiation dose as the gantry rotates. This study aims to investigate the pote...

An Evaluation of an SRS Quality Assurance System for Complex Patient Plans.

Authors: John Bennet, Indrin J. Chetty, Tai H. Dou

Affiliation: Department of Radiation Oncology,Cedars Sinai Medical Center, Department of Radiation Oncology, Cedars Sinai Medical Center, Department of Radiation Oncology,Cedars-Sinai Medical Center

Abstract Preview: Purpose:
To investigate the effect of complexity of stereotactic radiosurgery (SRS) volumetric modulated arc therapy plans on gamma pass rates (GPR) using a novel high-resolution ion chamber array ...

An FMEA-Based Approach to Improve the Process and Quality Control on MR Imaging from Outside Diagnostic Imaging Centers to be Used for Radiation Treatment Planning

Authors: Olivier Blasi, Eric Cameron, Brad K. Lofton

Affiliation: CAMP, Colorado Assn in Medical Phys (CAMP)

Abstract Preview: Purpose:
Magnetic Resonance (MR) imaging obtained from external centers for radiation therapy (RT) planning can suffer from suboptimal protocols and geometric distortions. These issues can require ...

An Integrated Optimization Method for Joint Lattice Positioning and Dose Planning in Lattice Therapy

Authors: Hao Gao, Xue Hong, Harold Li, Yuting Lin, Jufri Setianegara, Xin Tong, Chao Wang, Weijie Zhang, Ya-Nan Zhu

Affiliation: Department of Radiation Oncology, University of Kansas Medical Center

Abstract Preview: Purpose: Lattice radiotherapy (LATTICE) is a form of spatially fractionated radiation therapy (SFRT) designed to deliver high radiation doses to specific tumor regions (vertices) while sparing surroun...

An Investigational, or-Based Imaging Method for Reconstructing Catheters in Image-Guided HDR Brachytherapy

Authors: Margaret Cunningham Barker, Michael E. Campbell, Peyman Kabolizadeh, A. Nisar Syed, Randy Wei, Lisa M. Wilson-Turner

Affiliation: Memorial Radiation Oncology Medical Group, MemorialCare Todd Cancer Institute

Abstract Preview: Purpose:
Interstitial HDR treatment planning can be time-consuming, with substantial time spent waiting for the patient’s arrival and performing manual tasks, such as contouring ROIs and catheter r...

Analysis of Structure Errors in Region of Interest Contouring for Radiotherapy Planning: A Study Using the RT-Contour QA Platform

Authors: Sijuan Huang, Zi LIU, Jing MA, Xin Yang

Affiliation: Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, Guangdong, 510060, China

Abstract Preview: Purpose: To reduce the pressure of manual review of abnormal situations in manually/automatically delineated regions of interest (ROI), improve its accuracy and basis.
Methods: 220 radiotherapy pat...

Analytical Approach to Calculate Normal Tissue Complication Probability and Tumor Control Probability for Ultra-High Dose Rate Radiation (FLASH) Based on Linear-Quadratic Model

Authors: Santosh K. Agarwalla, Nrusingh C. Biswal, Shree C, Harikrishnan Suresh Kumar, Jajati K. Nayak, Prema P., Sarath K S, Tamil Selvan S, Hem D. Shukla

Affiliation: Variable Energy Cyclotron Centre, Department of Physics, Fakir Mohan University, Department of Radiation Oncology, University of Maryland School of Medicine, Department of Sciences, Amrita Vishwa Vidyapeetham

Abstract Preview: Purpose: The rapid oxygen depletion in tissues during irradiation is the most accepted mechanism of the FLASH effect. However, the Normal Tissue Complication Probability (NTCP) and Tumor Control Proba...

Annual Symposium on Magnetic Resonance in Radiation Therapy 2025

Authors: Chase Ruff, Nicholas R. Summerfield

Affiliation: Departments of Human Oncology and Medical Physics, University of Wisconsin-Madison

Abstract Preview: N/A...

Assessing Dose Enhancement and Shadowing Effects in Head and Neck Cases with Titanium Mandibular Implants

Authors: Sarah A. Ashmeg, Travis James McCaw, Joseph Shields, Matthew Spector, Christopher Tyerech, Christopher T Wilke

Affiliation: UPMC Hillman Cancer Center, UPMC Hillman Cancer Center and University of Pittsburgh School of Medicine, Department of Radiation Oncology, UPMC Hillman Cancer Center, Department of Radiation Oncology, University of Pennsylvania, UPMC

Abstract Preview: Purpose: Patients with oral cavity cancer often undergo surgical extirpation prior to radiation, and surgical implants are utilized to reconstruct the resulting defect. This study dosimetrically evalu...

Assessing an Improvement to Hyperarc SRS Planning: Comparing the Efficiency Index of Hyperarc Alone Vs Hyperarc + Surface Area Informed Optimization

Authors: Ivan L. Cordrey, Dharmin D. Desai, Ellis Lee Johnson

Affiliation: Cumberland Medical Center - Cancer Center, University of Kentucky, Varian Advanced Oncology Solutions

Abstract Preview: Purpose: HyperArc (HA) is known to produce a high quality SRS plan. Adding Surface Area Informed Optimization (SAIO) to HA has been shown to improve plan quality metrics R50% and the Conformality Inde...

Assessing the Impact of Intrafraction Shifts on Critical OAR Doses in a Standardized Spine SBRT Program

Authors: Daniel A. Alexander, Anish Butala, Anthony Austin Kassaee, Neil Malhotra, Ian Messing, Gabrielle W Peters, Ryan M. Scheuermann

Affiliation: Department of Radiation Oncology and Applied Sciences, University of Pennsylvania

Abstract Preview: Purpose: Stereotactic Body Radiation Therapy (SBRT) for spinal metastases uses CBCT-based localization and highly conformal treatment delivery to increase the biologically equivalent dose to the targe...

Assessment of Automated Planning Templates for Genitourinary and Gastrointestinal Disease Sites for Online MR-Guided Adaptive Radiotherapy

Authors: Shahed Badiyan, Tsuicheng D. Chiu, Viktor M. Iakovenko, Steve Jiang, Christopher Kabat, Mu-Han Lin, Roberto Pellegrini, Arnold Pompos, Edoardo Salmeri, David Sher, Sruthi Sivabhaskar, Justin D. Visak

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab & Department of Radiation Oncology, UT Southwestern Medical Center, Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, Global Clinical Science, Elekta AB, UT Southwestern Medical Center, Department of Radiation Oncology, UT Southwestern Medical Center

Abstract Preview: Purpose: Adaptive treatment planning requires robust strategies to enable streamlined on-couch processes, creating a significant barrier for planners transitioning from conventional to adaptive planni...

Assessment of Off-Target Dose for Curative Treatment of Pregnant Head and Neck Cancer Case: A Monte-Carlo Study

Authors: Brianna Baek, David J. Carlson, Zhe (Jay) Chen, Dae Yup Han, Bon Tack Koo, Hyojun Park

Affiliation: Columbia University, Canyon Crest Academy, Department of Therapeutic Radiology, Yale University School of Medicine, Department of Radiation Oncology, Chung-Ang University Gwang Myeong Hospital

Abstract Preview: Purpose: To find an optimized treatment technique and shielding design for minimizing the dose to a fetus, a Monte-Carlo simulation was performed to evaluate the dosimetric contribution.
Methods: G...

Augmenting Histopathology Lymphocyte Detection with Gpt-4 in-Context Visual Reasoning

Authors: Kyle J. Lafata, Casey Y. Lee, Xiang Li, Megan K. Russ, Zion Sheng

Affiliation: Duke University, Department of Radiation Oncology, Duke University, Clinical Imaging Physics Group, Department of Radiology, Duke University Health System

Abstract Preview: Purpose:
Traditional deep learning-based cell segmentation models face limitations, such as the need for extensive training data and retraining when encountering new cell types or domains. This stu...

Auto-Contouring of OAR Enhances Patient Safety and Workflow in Gamma Knife Stereotactic Radiosurgery

Authors: Sven Ferguson, S. Murty Goddu, Ana Heermann, Taeho Kim, Nels C. Knutson, Hugh HC Lee, Shanti Marasini, Timothy Mitchell, Seungjong Oh, Kevin Renick

Affiliation: Washington University in St. Louis School of Medicine, Washington University School of Medicine in St. Louis, Department of Radiation Oncology, Washington University School of Medicine in St. Louis

Abstract Preview: Purpose: In the Gamma Knife stereotactic radiosurgery (GK-SRS), the delineation of organs-at-risks (OARs) was not fully automated. Due to the cumbersome nature of manual OAR contouring, dose evaluatio...

Automated Determination of Deteriorations in Proton Therapy Plan Quality Using Daily Cone Beam CT As a Predictor of Need for Adaptive Replans for Head and Neck Cases

Authors: Matthew J Ferris, Jason K Molitoris

Affiliation: Department of Radiation Oncology, University of Maryland School of Medicine, University of Maryland

Abstract Preview: Purpose: Anatomy changes often happen in head-and-neck (HN) patients treated with proton radiation therapy. These changes can result in deteriorations of target dose coverage and increased dose to org...

Automated Parametric Custom Collimator Creation for Preclinical Irradiation Studies

Authors: Muhammad Ramish Ashraf, Dixin Chen, Lloyd Emmanuel Kamole Ghomsi, Edward Elliot Graves, Billy W Loo, Stavros Melemenidis, Joseph B. Schulz, Lawrie Skinner

Affiliation: Department of Radiation Oncology, Department of Radiation Oncology, Stanford University School of Medicine

Abstract Preview: Purpose: Precise beam collimation is essential in preclinical radiotherapy studies to ensure accurate dose delivery. Manual design and fabrication of organ-specific collimators usually consist of mult...

Automated Tool for Radiotherapy Initial Patient Setup: A Robust Approach Based on Vertebral Identification

Authors: Hailun Pan, Yingli Yang, Jie Zhang, Yibin Zhang

Affiliation: Department of Radiation Oncology,Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Department of Radiology, Ruijin Hospital, Department of Radiation Oncology, Ruijin Hospital, , Shanghai Jiaotong University School Of Medicine, Shanghai United imaging Healthcare Advanced Technology Research Institute

Abstract Preview: Purpose: Accurate patient positioning is critical in radiotherapy (RT) to ensure effective treatment delivery and minimize harming surrounding healthy tissues. Vertebral misalignment during RT setup h...

Automatic Tumor Segmentation and Catheter Detection from MRI for Cervical Cancer Brachytherapy Using Uncertainty-Aware Dual Convolution-Transformer Unet

Authors: Majd Antaki, Rohini Bhatia, Gayoung Kim, Yosef Landman, Junghoon Lee, Akila N. Viswanathan

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Physics and Advanced Development Elekta

Abstract Preview: Purpose: Brachytherapy is a standard radiation therapy approach for cervical cancer, which directly delivers radiation source to the tumor using catheters. Treatment planning requires identification o...

Automating Protocol-Specific Chart Checking in Radiotherapy

Authors: Jiajin Fan, Ulrich Langner, Qiongge Li, Jian Liu, Wei Nie, Edwin Quashie

Affiliation: Brown University Health, Hofstra University Medical Physics Program, Inova Hospital, Inova Schar Cancer Institute, Indiana University School of Medicine, Department of Radiation Oncology

Abstract Preview: Purpose:
Chart checking in radiotherapy ensures treatment plans meet clinical and safety standards. For patients in clinical trials, protocol-specific requirements add complexity, making manual rev...

Automation of Clinical Protocol Imports for Treatment Planning System Version Update Compatibility

Authors: Michael Ashenafi, Mario Ramos Gallardo, Amy Herman, Sean M. Tanny

Affiliation: Department of Radiation Oncology, University of Rochester

Abstract Preview: Purpose: Updates to the Varian Eclipse Treatment Planning System (TPS) have introduced new objects to replace pre-existing Clinical Protocols to aide clinicians in plan quality assessment. We have cre...

BEST IN PHYSICS MULTI-DISCIPLINARY: Building a Cross-Modality Model to Integrate Bio-Clinical Features, Anatomical MRI, and White-Matter Pathlength Mapping for Personalized Glioblastoma RT Planning

Authors: Steve Braunstein, Angela Jakary, Hui Lin, Bo Liu, Janine Lupo, Tiffany Ngan, Ke Sheng, Nate Tran

Affiliation: Radiation Oncology, University of California San Francisco, Graduate Program in Bioengineering, University of California San Francisco-UC Berkeley, Department of Radiation Oncology, University of California San Francisco, Department of Radiology and Biomedical Imaging, University of California San Francisco, Department of Radiation Oncology, University of California, San Francisco

Abstract Preview: Purpose: Current RT clinical target volumes (CTVs) for Glioblastoma (GBM) employ 2cm isotropic expansions of gross tumor volumes. However, studies showed patients still experience progression beyond t...

BEST IN PHYSICS MULTI-DISCIPLINARY: Motion-Resolved Dynamic CBCT Reconstruction Using Prior-Model-Free Spatiotemporal Gaussian Representation (PMF-STGR)

Authors: Hua-Chieh Shao, Chenyang Shen, Jiacheng Xie, Shunyu Yan, You Zhang

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, The University of Texas at Dallas

Abstract Preview: Purpose: Motion-resolved CBCT imaging, which reconstructs a dynamic sequence of CBCTs reflecting intra-scan motion (one CBCT per x-ray projection), is highly desired for regular/irregular motion chara...

Best- and Worst-Case Scenario: Uncertainty Bounds Informed By Daily Scanning in Weekly CBCT-Based Accumulated Dose for Head and Neck Cancer

Authors: Peter Balter, Kristy K. Brock, Clifton David Fuller, Tze Yee Lim, James Long, Brigid A. McDonald, Androniki Mitrou, Andrew J. Schaefer, Stina Svensson

Affiliation: The University of Texas MD Anderson Cancer Center, RaySearch Laboratories, Rice University, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences

Abstract Preview: Purpose: CBCT-based accumulated dose can provide up-to-date dose information on responding anatomy. To optimize resources, it is necessary to determine how many scans provide adequate information for ...

Binary Classification of Lymphedema in 3DCRT Patients Using Machine Learning on 3D Dose Distribution Data

Authors: Jee Suk Chang, Hojin Kim, Jin Sung Kim, Jaehyun Seok

Affiliation: Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Department of Integrative Medicine

Abstract Preview: Purpose: This study aims to leverage 3D dose distribution data to develop a machine learning model capable of accurately predicting lymphedema occurrence in patients undergoing 3D conformal radiation ...

Biologically Guided Deep Learning for MRI-Based Brain Metastasis Outcome Prediction after Stereotactic Radiosurgery

Authors: Evan Calabrese, Hangjie Ji, Kyle J. Lafata, Casey Y. Lee, Eugene Vaios, Chunhao Wang, Lana Wang, Zhenyu Yang, Jingtong Zhao

Affiliation: Duke University, Department of Radiation Oncology, Duke University, Duke Kunshan University, North Carolina State University

Abstract Preview: Purpose: To develop a biologically guided deep learning (DL) model for predicting brain metastasis(BM) local control outcomes following stereotactic radiosurgery (SRS). By integrating pre-SRS MR image...

Biomechanically Informed Diagnostic-to-Synthetic CT Transformation for Expedited Radiation Therapy Planning

Authors: Liyuan Chen, Steve Jiang, Chenyang Shen

Affiliation: Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center

Abstract Preview: Purpose: Delays in radiation therapy (RT) initiation caused by conventional CT simulation processes can hinder timely treatment delivery and patient outcomes. This study proposes a Virtual Treatment S...

Box-Prompt Zero-Shot Smart Segmentation in Radiation Oncology Using a SAM-Based Model: Smartsam

Authors: Kristen A. Duke, Samer Jabor, Neil A. Kirby, Parker New, Niko Papanikolaou, Arkajyoti Roy, Yuqing Xia

Affiliation: St. Mary's University, The University of Texas San Antonio, UT Health San Antonio

Abstract Preview: Purpose:
The Segment Anything Model (SAM) is a foundational box-prompt-based model for natural image segmentation. However, its applicability to zero-shot 3D medical image segmentation, particularl...

Brachyplancheck: An Independent Monte Carlo Dose Calculation Tool for Brachytherapy Using Egs_Brachy

Authors: Amy Tien Yee Chang, Chi Wai Cheung, Tin Lok Chiu, Chen-Yu Huang, Chi Wa Kong, Pei-Xiong Li, Pak Hang Nam, Bin Yang, Siu Ki Yu

Affiliation: Comprehensive Oncology Centre, Hong Kong Sanatorium and Hospital, Medical Physics Department, Hong Kong Sanatorium and Hospital

Abstract Preview: Purpose: This study introduces BrachyPlanCheck, an independent Monte Carlo (MC)-based dose calculation tool for 192Ir brachytherapy retrospective study or algorithm commissioning.
Methods: BrachyPl...

Brain Tumor Segmentation from Multi-Parametric MRI with Integrated Evidential Uncertainty Estimation

Authors: Sahaja Acharya, Matthew Ladra, Junghoon Lee, Lina Mekki

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Department of Biomedical Engineering, Johns Hopkins University

Abstract Preview: Purpose: Multi-parametric MRI (mpMRI) is widely used for deep learning (DL)-based automatic segmentation of brain tumors. While multi-contrast images concatenated as channels are typically input to ne...

Brain Vessel Segmentation and Tracking in Longitudinal Glioblastoma MRI Scans

Authors: Evan Calabrese, Edward Robert Criscuolo, Deshan Yang

Affiliation: Duke University, Department of Radiation Oncology, Duke University

Abstract Preview: Purpose: Glioblastoma (GBM) is the most common and aggressive form of brain cancer. Deformable image registration (DIR) is a powerful tool to compute anatomical changes in longitudinal MRI scans, whic...

Calibration of Dynamic Collimation System Trimmers to Proton Beam Axis Using Gantry-Angle-Specific Corrections: A Look-up Table Solution

Authors: Wesley S. Culberson, Albert Du, Ryan T. Flynn, Ryan Gardner, Alonso N. Gutierrez, Patrick M Hill, Daniel E. Hyer, Blake R. Smith, Nhan Vu, Karsten K. Wake

Affiliation: University of Wisconsin, Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin - Madison, Miami Cancer Institute, Baptist Health South Florida, Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, University of Iowa, Iowa Health Care

Abstract Preview: Purpose: In proton therapy, the substantial size of the gantry introduces sag, causing the proton isocenter to drift as a function of gantry angle. While the scanning magnets correct the beam’s isocen...

Can AI Agent be a Good Judge for Online Adaptive Radiotherapy Plan Evaluation?

Authors: Steve B. Jiang, Mu-Han Lin, Dan Nguyen, Beiqian Qi, Daniel Yang, Ying Zhang

Affiliation: Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Lab & Department of Radiation Oncology, UT Southwestern Medical Center

Abstract Preview: Purpose:
Online adaptive radiotherapy (oART) is a resource-intensive workflow requiring significant time and effort required from clinicians, particularly for the online evaluation of plan quality....

Can Contrast Scans of Dual-Layer Detector Spectral CT be Directly Used for Proton Dose Calculations?

Authors: Wen C. Hsi, Pouya Sabouri, Zhong Su

Affiliation: University of Arkansas for Medical Sciences, Department of Radiation Oncology, University of Arkansas for Medical Sciences (UAMS)

Abstract Preview: Purpose:
Traditional single-energy CT (SECT) contrast scans cannot be used for proton dose calculations due to significantly higher HU caused by iodine. Dual-layer dual-energy CT (DL-DECT) can dire...

Characterization of Commercially-Available Dosimeters and Prototype Diamond Detectors for Absolute Flash Dosimetry of Small-Field Pulsed Proton Beams

Authors: Ronald C Chen, Hao Gao, Nicolas Gerard, Harold Li, Yuting Lin, Jarrick Nys, Jufri Setianegara, Mark Szczepanski, Aoxiang Wang

Affiliation: 4Physikalisch-Technische WerkstÀtten (PTW), Department of Biomedical Engineering, Huazhong University of Science and Technology, Ion Beam Applications (IBA), Department of Radiation Oncology, University of Kansas Medical Center

Abstract Preview: Purpose: Modern synchrocyclotrons can produce magnetically-scanned protons at ultra-high dose-rates (FLASH). However, their pulsed nature leads to high doses-per-pulse (DPP) which can cause non-neglig...

Characterizing the Stability of Upright CT for Proton Therapy

Authors: Brian Burger, Carri K. Glide-Hurst, John W. Hayes, Carson Hoffman, Minglei Kang, Jessica R. Miller, Jordan M. Slagowski, Yuhao Yan

Affiliation: Department of Human Oncology, University of Wisconsin-Madison, Departments of Human Oncology and Medical Physics, University of Wisconsin-Madison, Leo Cancer Care

Abstract Preview: Purpose: The combination of upright CT and patient positioner for particle therapy present tremendous potential for high precision IGRT and online adaptive radiation therapy (ART), where reliable CT p...

Clinical Feasibility of a Deep-Learning-Based Auto Contouring through Qualitative and Dosimetric Assessments

Authors: Sara Endo, Takeshi Fujisawa, Hidehiro Hojo, Masaki Nakamura, Hidenobu Tachibana

Affiliation: Department of Radiation Oncology, National Cancer Center Hospital East, Radiation Safety and Quality Assurance Division, National Cancer Center Hospital East

Abstract Preview: Purpose: To assess the clinical feasibility of deep learning (DL)-based automated contouring through qualitative and quantitative assessments.

Methods: Sixty cases were chosen, including 3 OARs...

Clinical Trial Reporting, Reproducibility, and Standardization: Consistency for Implementation.

Authors: Stella Flampouri, Heng Li, Sarah Quirk, Timothy Ritter, Mihaela Rosu-Bubulac, Toni M. Roth, Michael B. Roumeliotis, Koren Smith, Wade P. Smith

Affiliation: Johns Hopkins University, Virginia Commonwealth University, University of Washington, VCU Health System, UMass Chan Medical School/IROC RI, Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Emory University, Brigham and Women's Hospital; Harvard Medical School, Memorial Sloan Kettering Cancer Center

Abstract Preview: Purpose: To assess clinical trial reproducibility for translation to standard clinical care in radiation therapy.
Methods: The systematic review adheres to the Preferred Reported Items for Systemat...

Clinical Validation of AI-Driven Segmentation Model for Pediatric Craniospinal Irradiation: Marked Reduction in Contouring Time and Enhanced Workflow Efficiency

Authors: Alexander Choi, William Ross Green, Christine Hill-Kayser, Gary D. Kao, Michael LaRiviere, Rafe A. McBeth, Steven Philbrook

Affiliation: Department of Radiation Oncology, University of Pennsylvania

Abstract Preview: Purpose: To validate the potential of clinical deployment of an in-house AI-driven auto-segmentation tool for pediatric craniospinal irradiation (CSI) in proton therapy, with goals of reducing manual ...

Comprehensive Evaluation of Federated Learning Strategies for Head and Neck Tumor Segmentation on PET/CT Images

Authors: Jingyun Chen, Yading Yuan

Affiliation: Columbia University Irving Medical Center, Department of Radiation Oncology

Abstract Preview: Purpose: To evaluate centralized and decentralized strategies for federated head and neck tumor segmentation on PET/CT.
Methods: We utilized training data from the HEad and neCK TumOR segmentation ...

Compressed Sensing Enhanced Radiomic Feature Selection for Personalized Ultra-Fractionated Stereotactic Adaptive Radiotherapy (PULSAR)

Authors: Hao Peng, Yajun Yu

Affiliation: Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center

Abstract Preview: Purpose: Personalized ultra-fractionated stereotactic adaptive radiotherapy (PULSAR) is a new treatment paradigm pioneered by our institution. But the early decision-making process in PULSAR is challe...

Confidence in a Tattoo-Less Transition

Authors: Laura A. Doyle, Amy S. Harrison, Allyson P Koecher, Jackson D Reeves, Lindsay B Romak

Affiliation: Christiana Care

Abstract Preview: Purpose: Surface guided radiation therapy (SGRT) is increasingly utilized in radiation oncology, allowing for transition away from permanent skin marks to SGRT-based daily treatment setup. Following i...

Contingency Planning for Left-Sided Breast Radiation Treatment Using Breath-Hold Technique with Different Delivery Methods

Authors: Nrusingh C. Biswal, Sally Cheston, Sung-Woo Lee, Weiguang Yao, Baoshe Zhang

Affiliation: Department of Radiation Oncology, University of Maryland School of Medicine

Abstract Preview: Purpose: The deep inspiration breath-hold (DIBH) technique in left breast radiation reduces doses to critical organs such as the heart, left lung, and left anterior descending artery (LAD). With the a...

Decision Support for Adaptive Vs Non-Adaptive SBRT for Left-Sided Adrenal Tumors

Authors: Robbie Beckert, Austen N. Curcuru, Farnoush Forghani, Yi Huang, Geoffrey D. Hugo, Hyun Kim, Eric Laugeman, Luke Christian Marut, Thomas R. Mazur, Allen Mo, Emily Sigmund

Affiliation: Washington University in St. Louis School of Medicine, WashU Medicine, Washington University School of Medicine in St. Louis, Wash U Medicine, Washington University in St. Louis, Department of Radiation Oncology, Washington University School of Medicine in St. Louis

Abstract Preview: Purpose: Adaptive SBRT is resource intensive, requiring additional personnel for online planning, and should be reserved for cases where it is most beneficial. The purpose of this research is to creat...

Decoupling Cardiorespiratory Motion of Cardiac Substructures Via 5D-MRI for Radiotherapy

Authors: Carri K. Glide-Hurst, Thomas M Grist, Kevin M. Johnson, Prashant Nagpal, Tarun Naren, Chase Ruff, Oliver Wieben, Jiwei Zhao

Affiliation: Department of Biostatistics and Medical Informatics, University of Wisconsin - Madison, Department of Radiology, University of Wisconsin-Madison, Department of Medical Physics, University of Wisconsin-Madison, Departments of Human Oncology and Medical Physics, University of Wisconsin-Madison

Abstract Preview: Purpose: Cardiotoxicity is a devastating side effect for thoracic radiotherapy (RT). Currently, standard RT imaging is insufficient to decouple cardiorespiratory motion, limiting substructure-specific...

Deep Dive of Clinical 5DCT Patient Results

Authors: Ryan Andosca, Peter Boyle, Minji Victoria Kim, Michael Vincent Lauria, Daniel A. Low, Claudia R. Miller, Drew Moghanaki, Louise Naumann, Dylan P. O'Connell, Ricky R Savjani

Affiliation: Department of Radiation Oncology, University of California, Los Angeles, UCLA, University of California, Los Angeles, UCLA Radiation Oncology

Abstract Preview: Purpose: To demonstrate the performance of the model-based CT scanning protocol, 5DCT, as an alternative to 4DCT.
Methods: 5DCT imaging results for 242 patients were analyzed. Implementation of the...

Deep Learning-Based Multileaf Collimator Sequence Prediction for Automated VMAT Treatment Planning in Pancreatic Cancer

Authors: Zixu Guan, Takahiro Iwai, Takashi Mizowaki, Mitsuhiro Nakamura, Michio Yoshimura

Affiliation: Kyoto University, Department of Radiation Oncology and Image-applied Therapy, Graduate School of Medicine, Kyoto University

Abstract Preview: Purpose:
The goal of this study is to develop a fully automated treatment planning approach for VMAT in pancreatic cancer that can convert patient anatomy into LINAC machine parameters. In this wor...

Deep Learning-Based Plan Quality Prediction for Gamma Knife Radiosurgery of Brain Metastases

Authors: Chih-Wei Chang, Runyu Jiang, Mark Korpics, Yuan Shao, Aranee Sivananthan, Zhen Tian, Ralph Weichselbaum, Xiaofeng Yang, Aubrey Zhang, Xiaoman Zhang

Affiliation: Department of Radiation & Cellular Oncology, University of Chicago, University of Chicago, Department of Physics, University of Chicago, Emory University, Department of Radiation Oncology and Winship Cancer Institute, Emory University, School of Public Health, University of Illinois Chicago

Abstract Preview: Purpose: Gamma Knife (GK) plan quality can vary significantly among planners, even for cases handled by the same planner. Although plan quality metrics such as coverage, selectivity, and gradient inde...

Deep Learning-Driven Comparative Analysis of CNN-Based Architectures and High-Order Vision Mamba U-Net (H-vMUNet) for MRI-Based Brain Tumor Segmentation

Authors: Sang Hee Ahn, Nalee Kim, Do Hoon Lim

Affiliation: Samsung Medical Center, Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine

Abstract Preview: Purpose: MRI offers superior soft-tissue contrast, aiding tumor localization and segmentation in radiation therapy, which traditionally relies on oncologists' expertise. This study compares CNN-based ...

Deep-Dive Comparative Assessment between Digitally Reconstructed Radiographs and X-Ray Digital Radiographs from Lung CT Scans

Authors: Xinyi Fu, Dan Ruan, Ke Sheng

Affiliation: Department of Radiation Oncology, University of California, Los Angeles, University of California, San Francisco, Department of Radiation Oncology, University of California, San Francisco

Abstract Preview: Purpose:
Digitally reconstructed radiographs (DRRs) are easy to generate and widely used to establish research protocols in pulmonary diagnosis and image-guided radiotherapy tasks. A question remai...

Deeptuning: A Deep Learning Dose Prediction Framework for Interactive Plan Tuning

Authors: Mingli Chen, Huan Amanda Liu, Weiguo Lu, Lin Ma

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, Mayo Clinic

Abstract Preview: Purpose: To reduce the back-and-forth in planning process between physicians and dosimetrists resulting from trade-off exploration, we proposed a novel deep learning framework called DeepTuning.
Me...

Design and Implementation of a Dedicated Ethics and Professionalism Course for a Campep Accredited Graduate Program in Medical Physics

Authors: Jenghwa Chang, Marissa Joyce Vaccarelli

Affiliation: Northwell, Hofstra University Medical Physics Program

Abstract Preview: Purpose: Our University has a CAMPEP-accredited Master of Science (MS) in Medical Physics program with an established curriculum. Prior, ethics and professionalism themes were taught in an introductor...

Designing Impactful Radiotherapy Training for Skill Development and Long-Term Growth

Authors: Stephanie Bennett, Sean L. Berry, Caroline M. Colbert, Dustin J. Jacqmin, James A. Kavanaugh, Minsun Kim, Maura L. Kirk, Emily Kruse, Benjamin Li, Mu-Han Lin, Lindsey A. Olsen, Jose Carlos Pichardo, Justin R. Roper, Leah K. Schubert, Chunhao Wang, Sua Yoo

Affiliation: University of Wisconsin, Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Department of Radiation & Cellular Oncology, University of Chicago, Abington - Jefferson Health, Mayo Clinic, University of Washington, University of Colorado Health, University of Colorado Denver, Department of Radiation Oncology, University of Washington and Fred Hutch Cancer Center, Duke University, Pichardo Physics LLC, Department of Radiation Oncology, UT Southwestern Medical Center, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose: As clinics in lower- and middle-income countries (LMICs) transition to advanced radiotherapy techniques like IMRT and VMAT, gaps in training can result in suboptimal planning. To help support...

Development and Clinical Validation of an Analytical Approach for 3D Positron Emitter Distribution Prediction in Carbon Ion Therapy

Authors: Julia Bauer, Tianxue Du, Katia Parodi, Marco Pinto, Thomas Tessonnier

Affiliation: Department of Medical Physics, Ludwig-Maximilians-UniversitĂ€t (LMU) MĂŒnchen, Heidelberg Ion Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, Department of Medical Physics, Ludwig-Maximilians-UniversitĂ€t MĂŒnchen (LMU Munich)

Abstract Preview: Purpose:
Carbon ion therapy could benefit from range verification due to its sensitivity to range uncertainties. Positron emission tomography (PET) aids in this and comparing irradiation-induced PE...

Development and Evaluation of Aria Report-Based Initial Chart Check Tool

Authors: Ulrich Langner, Timothy Leech, Oleksii Semeniuk

Affiliation: Brown University Health

Abstract Preview: Purpose: To standardize and improve quality of the chart review process, while simultaneously increasing the efficiency of the physicist, by allowing them to allocate more time for other items.
Met...

Development and Experimental Validation of an in-House Proton Treatment Planning System with Energy Layer Optimization

Authors: Hao Gao, Yuting Lin, Jufri Setianegara, Aoxiang Wang, Peng Xiao, Qingguo Xie, Yanan Zhu

Affiliation: Department of Biomedical Engineering, Huazhong University of Science and Technology, Department of Radiation Oncology, University of Kansas Medical Center

Abstract Preview: Purpose: Intensity-modulated proton therapy (IMPT) achieves uniform tumor dose distribution while sparing organs-at-risk (OAR) by optimizing spot weights across energy layers. Accelerating IMPT delive...

Development and Validation of a Deep Learning-Based Auto-Segmentation Module for Vestibular Schwannoma

Authors: John Byun, Steven D Chang, Cynthia Fu-Yu Chuang, Xuejun Gu, Melanie Hayden Gephart, Yusuke Hori, Fred Lam, Gordon Li, Lianli Liu, Weiguo Lu, David Park, Erqi Pollom, Elham Rahimy, Deyaaldeen Abu Reesh, Scott Soltys, Gregory Szalkowski, Lei Wang, Xianghua Ye, Kangning Zhang

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, Department of Neurosurgery, Stanford University, Department of Radiation Oncology, Stanford University, Department of Radiation Oncology, Stanford University School of Medicine

Abstract Preview: Purpose: Accurate and automated delineation of vestibular schwannoma (VS) volume is crucial for disease management, as both treatment approaches (stereotactic radiosurgery and invasive surgery) and mo...

Development and Validation of a Principal Component Analysis Statistical Shape Pediatric/Adolescent Breast Model for Pre-CT Era Breast Dose Reconstruction in Late Effect Studies of Female Childhood Cancer Survivors

Authors: Gregory T. Armstrong, James E. Bates, Kristy K. Brock, Laurence Edward Court, Matt Ehrhardt, Danielle Friedman, Aashish C. Gupta, Donald Hancock, Rebecca M. Howell, Cindy Im, Tera S Jones, Choonsik Lee, Wendy Leisenring, Taylor Meyers, Lindsay Morton, Chaya Moskowitz, Joe Neglia, Vikki Nolan, Caleb O'Connor, Kevin C. Oeffinger, Constance A. Owens, Arnold C. Paulino, Chelsea C. Pinnix, Sander Roberti, Cecile Ronckers, Susan A. Smith, Kumar Srivastava, Lucie Turcotte

Affiliation: Department of Medicine, Duke University School of Medicine, Department of Epidemiology and Cancer Control, St. Jude Children’s Research Hospital, The University of Texas MD Anderson Cancer Center, Department of Oncology, St. Jude Children’s Research Hospital, Department of Pediatrics, Memorial Sloan Kettering Cancer Center, Division of Pediatric Epidemiology and Clinical Research, University of Minnesota, Division of Childhood Cancer Epidemiology, University Medicine at Johannes Gutenberg University Mainz, Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Department of Pediatrics, University of Minnesota, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Department of Biostatistics, St. Jude Children’s Research Hospital, Clinical Research Division, Fred Hutchinson Cancer Center, Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Department of Radiation Oncology and Winship Cancer Institute, Emory University, The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences

Abstract Preview: Purpose: To (1) develop and validate a novel anatomically realistic pediatric/adolescent population-based breast model, (2) incorporate model into an age-scalable female reference phantom, and (3) dem...

Development and Validation of a Scalable Radiomics Pipeline for Lung Cancer Research Using Clinical and Public Datasets

Authors: Pradeep Bhetwal, Yingxuan Chen, Wookjin Choi, Michael Dichmann, Adam Dicker, Rupesh Ghimire, Yevgeniy Vinogradskiy, Maria Werner-Wasik

Affiliation: Thomas Jefferson University

Abstract Preview: Purpose: Radiomics has emerged as a powerful tool in medical research. However, the lack of standardized and reproducible pipelines limits its clinical adoption. This study developed a robust and scal...

Development of Foundation Model for Analysis of Prostate Cancer with Mpmri

Authors: Ahmad Algohary, Adrian Breto, Quadre Emery, Radka Stoyanova

Affiliation: University of Miami, Department of Radiation Oncology, University of Miami

Abstract Preview: Purpose:
To develop a foundation model (U-Found) for multiparametric MRI (mpMRI) of the prostate by using self-supervised learning to prove the feasibility of a prostate-oriented foundation model u...

Development of Treatment Planning System for Carbon Ion Radiotherapy in Yonsei Cancer Center

Authors: Min Cheol Han, Chae-Seon Hong, Changhwan Kim, Dong Wook Kim, Hojin Kim, Jin Sung Kim, HO Lee, Sac Lee, Yongdo Yun

Affiliation: Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine

Abstract Preview: Purpose: Carbon ion radiotherapy (CIRT) offers the advantage of a greater relative biological effectiveness (RBE) weighted dose, which must be integrated into the treatment planning system (TPS). This...

Development of a Comprehensive Thoracic Re-Irradiation Database and Investigation of Time-Dependent Dose-Recovery Dynamics for Toxicity Modeling

Authors: Victoria Doss, Tsion Gebre, Rachel B. Ger, Esi A Hagan, Elaina Hales, Russell K Hales, Xun Jia, Heng Li, Dezhi Liu, Todd R. McNutt, Meti Negassa, Anas Obaideen, Tinker Trent, K. Ranh Voong, Cecilia FPM de Sousa

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Johns Hopkins University

Abstract Preview: Purpose: As cancer care advances, more patients require re-irradiation, yet evidence-based data is lacking. This study aimed to develop a thoracic re-irradiation database and explore time-dependent re...

Dose Reconstruction from Prompt-Gamma Imaging Towards Real-Time Adaptive Proton Therapy

Authors: Thomas R. Bortfeld, Prof. Elisabetta De Bernardi, Tianxue Du, Beatrice Foglia, Chiara Gianoli, Takamitsu Masuda, Katia Parodi, Marco Pinto, Boon-Keng Kevin Teo, Yunhe Xie

Affiliation: Department Of Radiation Oncology, Massachusetts General Hospital (MGH), School of Medicine and Surgery, University of Milano-Bicocca, Department of Medical Physics, Ludwig-Maximilians-UniversitĂ€t MĂŒnchen (LMU Munich), Department of Medical Physics, Ludwig-Maximilians-UniversitĂ€t (LMU) MĂŒnchen, National Institutes for Quantum Science and Technology (QST), University of Pennsylvania, Department of Experimental Physics - Medical Physics, Ludwig-Maximilians-UniversitĂ€t (LMU) MĂŒnchen

Abstract Preview: Purpose: The full potential offered by protons in clinical practice is limited by range uncertainties. One possibility for monitoring is through secondary prompt gammas (PG). PG emission along the pen...

Dosimetric Analysis of Lymphopenia after Lung Irradiation and Modeling the Probability of Normal Tissue Complications

Authors: Tianyuan Dai, Xiaoying Fan, Shuting Wang, Yong Yin

Affiliation: Department of Graduate, Shandong First Medical University, Shandong Academy of Medical Sciences, Department of Radiation Oncology Physics and Technology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences

Abstract Preview: Purpose: Decreased lymphocytes increase the risk of infections and other problems. Radiation exposure can cause the development of severe lymphopenia. In this study, we used a dynamic blood flow model...

Dosimetric Assessment of Simultaneous Multi-Energy and Fluence Optimization for IMRT and VMAT

Authors: Aliasghar Rohani, Rui Zhang

Affiliation: Louisiana State University, Baton Rouge, Louisiana, Department of Radiation Oncology, Mary Bird Perkins Cancer Center

Abstract Preview: Purpose: This study aimed to evaluate the impact of simultaneous optimization of multi-photon beam energy and fluence on IMRT and VMAT treatment planning.
Methods: An Elekta linear accelerator (lin...

Dosimetric Comparison of Lattice and 3D Grid VMAT Planning for Spatially Fractionated Radiotherapy

Authors: Minbin Chen, Gang Liu, Manju Liu, Weiwei Sang, Pulin Sun, Mingyuan Ye, Fang-Fang Yin, Lihua Zhang, Haiming Zhu

Affiliation: Jiahui International Hospital, Radiation Oncology, Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Medical Physics Graduate Program, Duke Kunshan University, Duke Kunshan University, The First People's Hospital of Kunshan

Abstract Preview: Purpose: This study aims to conduct a dosimetric comparison between lattice radiotherapy (LRT) and 3D grid treatment planning techniques, focusing on their differences in delivering three-dimensional ...

Dosimetric Variations Induced By Inaccurate Collimator Angles in Single-Isocenter SRS Plan for Multi-Lesion Brain Metastases

Authors: Makunda Aryal, Gregory Bartlett, David D. Campos, Ke Colin Huang, Sook Kien Ng, Christopher F. Njeh, Oluwaseyi Oderinde, Edwin Quashie, Ashok Tiwari, Yong Yue

Affiliation: Purdue University, Department of Radiation Oncology, Indiana University, Indiana University, Indiana University School of Medicine, Department of Radiation Oncology

Abstract Preview: Purpose:
Linear accelerator-based single-isocenter Stereotactic Radiosurgery (SRS) is widely used for treating brain metastases due to its efficiency, reduced treatment time, and lower imaging dose...

Dual-Energy CT Derived Perfusion Blood Volume and 4D-CT Derived Ventilation Changes in Lung Cancer Patients 6-Months Post Radiation Therapy

Authors: Daniel A. Alexander, Jeffrey D. Bradley, Steven J. Feigenberg, Cole Friedes, Casey Hollawell, William Levin, Maksym Sharma, Boon-Keng Kevin Teo, Ying Xiao, Nikhil Yegya-Raman, Jennifer Wei Zou

Affiliation: Department of Radiation Oncology and Applied Sciences, Department of Radiation Oncology, University of Pennsylvania, University of Pennsylvania

Abstract Preview: Purpose: To investigate lung function changes following definitive chemoradiation dose using CT-derived measurements in patients with locally advanced NSCLC at 6-months post-treatment compared to pre-...

Dysphagia Optimized Knowledge-Based Planning for Head and Neck Cancer

Authors: James E. Bates, Benjamin Hopkins, Kirk Luca, Shadab Momin, Justin R. Roper, Soumon Rudra, Eduard Schreibmann, Bill Stokes, Tu Thi, Xiaofeng Yang

Affiliation: Emory University, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose: Swallowing dysfunctions after radiotherapy are caused by multiple factors yet are strongly associated with the irradiation of pharyngeal musculature due to its role in the initiation and comp...

Early Imaging Identification of Osteoradionecrosis and Classification Using the Novel Clinrad System

Authors: Serageldin Attia, Zayne Belal, Cem Dede, Clifton David Fuller, Andrew Hope, Laia Humbert Vidan, Kate Hutcheson, Zaphanlene Kaffey, Stephen Y. Lai, Abdallah Mohamed, Amy Moreno, Jillian Rigert, Erin Watson

Affiliation: Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center; The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Princess Margaret Cancer Centre, University Health Network, 610 University Ave., The University of Texas MD Anderson Cancer Center, UT MD Anderson, Princess Margaret Cancer Centre, UT MD Anderson Cancer Center, Hospital of the University of Pennsylvania, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Department of Head and Neck Surgery, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, The University of Texas MD Anderson Cancer Center, Department of Radiation Oncology

Abstract Preview: Purpose: Osteoradionecrosis (ORN) of the jaw is a debilitating radiation-induced toxicity lacking standardized classification criteria or treatment guidelines. Early identification of tissue injury co...

Eclipse AFI Manual Planning Versus Brainlab Auto-Planning: A Comparison of SRS Plan Quality

Authors: Dharmin D. Desai, Ellis Lee Johnson, Philip J. Kallenberg, Kapil M. Mishra

Affiliation: Spectrum Medical Physics, University of Kentucky, Varian Advanced Oncology Solutions

Abstract Preview: Purpose: The “Ask For It” (AFI) manual optimization strategy has been shown to generate high quality SRS plans within Eclipse. The purpose of this work is to directly compare manually generated Eclips...

Efficient FAST-Forward Planning Strategy for X-Ray Based Online Adaptive Radiotherapy

Authors: Prasanna Alluri, Mona Arbab, Xingzhe Li, Chang-Shiun Lin, Mu-han Lin, David D.M. Parsons, Asal Rahimi, Justin D. Visak, Narine Wandrey

Affiliation: UT Southwestern Medical Center, Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX

Abstract Preview: Purpose: Intelligence-Optimization-Engine (IOE) v1.0 relied heavily on planner expertise and patient-specific IMRT beam arrangements, requiring frequent revisions. While VMAT workflows offered potenti...

Empowering Radiation Oncology in Sudan with Virtual and Augmented Reality Solutions

Authors: Abdelfatah Abdalla Nemer Abdelsalam, Elmubarak M. Ahmed, Sarah A. Ashmeg, M. Saiful Huq, Alsadeg Awad Alamin Mohamed, Ali Sid Ahmed Mohammed, Christopher Tyerech

Affiliation: UPMC Hillman Cancer Center and University of Pittsburgh School of Medicine, Department of Radiation Oncology, UPMC Hillman Cancer Center, University of Medical Science and Technology, King Abdulaziz Medical City, Department of Radiation Oncology, University of Pennsylvania, Tumor Therapy and Cancer Research Center, Al Neelain University

Abstract Preview: Purpose: Severe conflict in Sudan has led to the closure of several cancer services within the country. With new centers in development by an IAEA and Rays of Hope initiative, many barriers exist in m...

Enhancing Radiation Therapy Precision and Safety: The Role of Cherenkov Imaging in Clinical Practice.

Authors: Adi Robinson, Michael J. Tallhamer

Affiliation: Centura Health, AdventHealth Orlando

Abstract Preview: Purpose: This study aims to evaluate the integration of Cherenkov imaging into radiation therapy practices, focusing on its utility in enhancing treatment precision, patient safety, and clinical decis...

Enhancing Radiotherapy Planning with Machine Learning: Correlating Anatomical Features and Planning Difficulty to Guide Optimal Plan Design

Authors: Li Chen, Shouliang Ding, Xiaoyan Huang, Lecheng Jia, Hua Li, Hongdong Liu, Yanfei Liu, Zun Piao, Guangyu Wang

Affiliation: State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Shenzhen United Imaging Research Institute of Innovative Medical Equipment

Abstract Preview: Purpose: Optimal radiotherapy planning is challenging, influenced by anatomical factors such as surrounding organs and tumor characteristics, which complicate dose distribution and target coverage. Wh...

Enhancing T2-Weighted Brain MRI Resolution across Orientations Using AI-Based Volumetric Reconstruction

Authors: Mengqi Shen, Meghna Trivedi, Tony J.C. Wang, Andy (Yuanguang) Xu, Yading Yuan

Affiliation: Columbia University Medical Center, Dept of Med Hematology & Oncology, Data Science Institute at Columbia University, Columbia University Irving Medical Center, Department of Radiation Oncology, Columbia University Irving Medical Center

Abstract Preview: Purpose: T2-weighted (T2w) images are critical for identifying pathological changes due to their superior contrast in differentiating tissue types. However, they often lack detailed anatomical resolut...

Ensuring Consistency in Digital Pathology: Medical Physics Approaches to Comparison of Scanner Contrast and Chromaticity

Authors: Diana Cardona, Casey C. Heirman, William Jeck, Kyle J. Lafata, Xiang Li, Lauren M. Neldner, Jeffrey S. Nelson, Megan K. Russ, Ehsan Samei

Affiliation: Duke University, Department of Radiation Oncology, Duke University, Department of Pathology, Duke University, Clinical Imaging Physics Group, Department of Radiology, Duke University Health System

Abstract Preview: Purpose: Medical physicists have traditionally supported radiation-based medicine, but their expertise can translate to other image-based fields including pathology. As pathology transitions to digita...

Ensuring Consistency in Digital Pathology: Medical Physics Approaches to Comparison of Scanner Sharpness and Artifact Severity

Authors: Diana Cardona, Casey C. Heirman, William Jeck, Kyle J. Lafata, Xiang Li, Lauren M. Neldner, Jeffrey S. Nelson, Megan K. Russ, Ehsan Samei

Affiliation: Duke University, Department of Radiation Oncology, Duke University, Department of Pathology, Duke University, Clinical Imaging Physics Group, Department of Radiology, Duke University Health System

Abstract Preview: Purpose: Medical physicists traditionally support radiation-based medicine, but their expertise is translatable to image-based fields like pathology. As pathology transitions to digital practices, phy...

Evaluating the Impact of Contour Variability on the Effectiveness of Deep Learning Features in Head and Neck Imaging

Authors: Hania A. Al-Hallaq, Xuxin Chen, Anees H. Dhabaan, Elahheh (Ella) Salari, Xiaofeng Yang

Affiliation: Emory University, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose:
Radiomics image analysis could lead to the development of predictive signatures and personalized radiotherapy treatments. However, variations in delineation are known to affect hand-crafte...

Evaluating the Impact of an Average Versus Machine-Specific Dosimetric Leaf Gap on Dose Calculation

Authors: Michael Ashenafi, Nicholas Becerra Espinosa, Mario Ramos Gallardo, Matthew Pacella, Sean M. Tanny

Affiliation: Department of Radiation Oncology, University of Rochester

Abstract Preview: Purpose: The newest version of a large commercial treatment planning system (TPS) has introduced a new physical MLC model. We compare the impact of using an averaged dosimetric leaf gap (DLG) value ve...

Evaluating the Performance and Limitations of an Automated Treatment Planning Tool for Intact Breast Radiotherapy across Diverse Patient Populations

Authors: Shatha Al Afifi, Hana Baroudi, Leonard Che Fru, Laurence Edward Court, Suzanne B. Evans, Kent A. Gifford, Adam D. Melancon, Melissa P. Mitchell, Issa Mohamad, Patricia Murina, Manickam Muruganandham, Tucker J. Netherton, Callistus M. Nguyen, Joshua S. Niedzielski, Deborah L. Schofield, Simona Shaitelman, Willie Shaw, Sanjay S. Shete, Adam Shulman, Brendon Smith, Sheeba Thengumpallil, Carlos Daniel Venencia, Conny Vrieling

Affiliation: University of Cape Town, MD Anderson Cancer Center, The University of Texas MD Anderson Cancer Center, University of the Free State, UT MD Anderson Cancer Center, King Hussein Cancer Center, Instituto Zunino - Fundacion Marie Curie, Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Dra., Hirslanden Clinique des Grangettes, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Department of Therapeutic Radiology, Yale University School of Medicine, Yale University, The University of Texas, MD Anderson, Houston TX

Abstract Preview: Purpose:
Automated contouring and planning tools are usually trained on single-institution datasets, seldom tested across diverse patient populations. This introduces a risk of population bias, res...

Evaluating the Role of Surface-Guided Radiotherapy in Prone Breast Cancer Treatment

Authors: Shifeng Chen, Mariana Guerrero, Michael J. MacFarlane, Huijun Xu, Baoshe Zhang, Jinghao Zhou

Affiliation: University of Maryland School of Medicine, Department of Radiation Oncology, University of Maryland School of Medicine, Capital Region Medical Center, University of Maryland Shore Regional Cancer Center

Abstract Preview: Purpose: The clinical value of surface-guided radiotherapy (SGRT) in prone breast cancer setups is much less established than in supine setups. This study explores SGRT's potential for prone breast pa...

Evaluating the Theranostic Potential of a Novel Shark Derived Anti-MET Vnar Antibody in NSCLC

Authors: Andrew M Baschnagel, Jonathan W. Engle, Jessica E. Griffin, Gihan Gunaratne, Reinier Hernandez, Randall J Kimple, Aaron M. LeBeau, Natalie Y. Luo, Rachel Minne, Caroline M. Mork, Kwangok P Nickel, Jayden West, Madalynn R. Wopat

Affiliation: University of Wisconsin, University of Wisconsin, Department of Pathology and Laboratory Medicine, Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin–Madison, University of Wisconsin - Department of Human Oncology, UW Madison, University of Wisconsin, Department of Medical Physics

Abstract Preview: Purpose: The Mesenchymal-Epithelial Transition gene (MET), a targetable cell surface receptor responsible for stimulating cell growth and proliferation, is altered in approximately 10% of non-small ce...

Evaluation of Color Display Performance of Pathology Relevant Colors Using the Macbeth Colorchecker

Authors: Diana Cardona, Casey C. Heirman, William Jeck, Kyle J. Lafata, Lauren M. Neldner, Jeffrey S. Nelson, Megan K. Russ, Ehsan Samei

Affiliation: Duke University, Department of Radiation Oncology, Duke University, Department of Pathology, Duke University, Clinical Imaging Physics Group, Department of Radiology, Duke University Health System

Abstract Preview: Purpose: Display image accuracy is critical for digital diagnostic fields, such as radiology and digital pathology. While the AAPM TG-18 test patterns are established for grayscale radiology monitor Q...

Evaluation of Treatment Planning Feasibility and Dosimetric Quality of the Reflexionℱ X1 System for Complex Spinal Targets

Authors: Thomas I. Banks, Bin Cai, Andrew R. Godley, Yang Kyun Park, Hao Peng, Rameshwar Prasad, Chenyang Shen, Shunyu Yan, Haozhao Zhang

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, University of Texas Southwestern Medical Center

Abstract Preview: Purpose:
The RefleXionÂź X1 (RefleXion Medical, Inc., Hayward, CA) uniquely integrates KVCT and PET as on-board image guidance for radiotherapy. It has been installed and commissioned for clinical u...

Evaluation of the Imaging Performance of PET-Linac As Compared to a Diagnostic PET/CT System for Small Tumors

Authors: Muhammad Ramish Ashraf, Girish Bal, Daniel Pham, Murat Surucu

Affiliation: RefleXion Medical, Department of Radiation Oncology, Stanford University School of Medicine, Stanford University

Abstract Preview: Purpose: To systematically evaluate the relationship between Activity Concentration (AC) obtained from the RefleXion PET-Linac with the maximum standardized uptake value (SUVmax) derived from a diagno...

Expanding the Reach: Integrating AI-Generated Auto Contours Via Ray Station’s Deep Learning Segmentation into Diverse Treatment Planning Systems

Authors: Raghavendra Raghavendra, Kanaparthy Raja Muralidhar, Venkataramanan Ramachandran, Srinivas Srinivas

Affiliation: Karkinos Healthcare

Abstract Preview: Purpose: This study explores the Integrating AI-Generated Auto Contours via Ray Station’s Deep Learning Segmentation into Diverse Treatment Planning Systems.
Methods: The research encompassed a gro...

Explainable AI with Attention Gates for Transparent and Interpretable Lung Radiotherapy Plan Evaluation

Authors: Jeffrey D. Bradley, Steven J. Feigenberg, Cole Friedes, Yin Gao, Xun Jia, Kevin Teo, Lingshu Yin, Jennifer Wei Zou

Affiliation: Department of Radiation Oncology, University of Pennsylvania, Johns Hopkins University

Abstract Preview: Purpose: Understanding how physicians evaluate plans is critical for automatic planning and ensuring consistent, high-quality care. While deep-learning models excel in complex decision-making, the lac...

Explainable Hybrid CNN-LLM Model to Guide Treatment Planning of Cervical Cancer High Dose Rate Brachytherapy

Authors: Adnan Jafar, Xun Jia, Michael B. Roumeliotis

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Johns Hopkins University

Abstract Preview: Purpose: HDR brachytherapy (HDRBT) treatment planning is challenging due to the need for high-quality plans under time pressure, considering anatomy and applicator geometry. This study proposes an exp...

Explainable Xerostomia Prediction with Decoupled High Resolution Class Activation Map

Authors: Junghoon Lee, Todd R. McNutt, Harry Quon, Bohua Wan

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Johns Hopkins University, Department of Computer Science, Johns Hopkins University

Abstract Preview: Purpose: Xerostomia is a common toxicity in head and neck cancer (HNC) radiotherapy (RT). A few deep learning (DL) models have been proposed to predict the chance of xerostomia 12 months after RT with...

Exploring NSCLC Microenvironments: Multi-Score Survival Models Integrationg Radiomics-Based Regional Imaging Features and Genomics

Authors: Nobuki Imano, Daisuke Kawahara, Misato Kishi, Yuji Murakami

Affiliation: Department of Radiation Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Graduate School of Biomedical and Health Sciences, Hiroshima University

Abstract Preview: Purpose: This study aims to develop a comprehensive Multi-score by integrating Radiomics-score (Rad-score), Gene-score derived from gene expression levels, and tumor environment Rad-score (TE-Rad-scor...

Fast Synthetic-CT-Free Dose Calculation in MR Guided RT

Authors: Claus Belka, Stefanie Corradini, George Dedes, Nikolaos Delopoulos, Christopher Kurz, Guillaume Landry, Ahmad Neishabouri, Domagoj Radonic, Adrian Thummerer, Niklas Wahl, Fan Xiao

Affiliation: Department of Radiation Oncology, LMU University Hospital, LMU Munich, Department of Medical Physics, LMU Munich, Department of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), National Center for Radiation Oncology (NCRO), Heidelberg Institute for Radiation Oncology (HIRO)

Abstract Preview: Purpose: In MR-guided online adaptive radiotherapy, MRI lacks tissue attenuation information necessary for accurate dose calculations. Instead of using deep learning methods to generate synthetic CT i...

Feasibility Study of Group Sparse-Based Beam Angle Optimization for Multi-Field Carbon Ion Radiotherapy

Authors: Min Cheol Han, Hojin Kim, Jin Sung Kim, Hyejin Lee, Sac Lee, Yongdo Yun

Affiliation: Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine

Abstract Preview: Purpose: Carbon ion radiotherapy (CIRT) is characterized by high relative biological effectiveness (RBE), which must be integrated into the treatment planning process. This study aims to develop a nov...

Feasibility and Dosimetric Impact of Intensity-Modulated Radiotherapy for Cervical Cancer Patients in Nepal: A Retrospective Analysis

Authors: Daniela Branco, John M Bryant, Surendra Bahadur Chand, Pratiksha Shahi, Joseph Weygand

Affiliation: Department of Radiation Oncology and Applied Science, Dartmouth Health, B.P. Koirala Memorial Cancer Hospital, , B.P Koirala Memorial Cancer Hospital, University of California San Diego / California Protons, Department of Radiation Oncology, Moffitt Cancer Center

Abstract Preview: Purpose:
Cervical cancer remains a significant health burden in Nepal, with 2169 new cases and 1313 deaths recorded in 2022. This study evaluates the feasibility of implementing step-and-shoot IMRT...

Feasibility of Commercial Independent-Dose-Calculation for Pencil-Beam-Scanning Proton Therapy

Authors: Wen C. Hsi, Kayla Schneider

Affiliation: Department of Radiation Oncology, University of Arkansas for Medical Sciences (UAMS), Department of Radiation Oncology, University of Arkansas for Medical Sciences

Abstract Preview: Purpose:
Measurement-based patient-specific quality-assurance (PSQA) conducted with a 2D dosimeter to verify delivered dose of each field over 3 measurement-depths is time-consuming with limited se...

Feasibility of Developing a Radiomic Fingerprint to Predict Pulmonary Embolism Clot Types to Aid in Determining Intervention for Intermediate-Risk Patients.

Authors: Lindsay Hammons, Lisa Baumann Kreuziger, Haidy G. Nasief, Matthew Scheidt, Farrell Sean, Antonio Sosa Lozano

Affiliation: Division of Hematology and Oncology, University of Washington, Vascular and Interventional Radiology, Medical college of wisconsin, Department of Radiation Oncology, Medical College of Wisconsin

Abstract Preview: Purpose: Venous thromboembolism, which includes pulmonary embolism (PE), is the third leading cause of acute cardiovascular syndrome behind myocardial infarction and stroke. Current research categoriz...

Feasibility of Markerless Dynamic Tumor Tracking-VMAT Using Diaphragm Detection and Respiratory Phase-Based Offset Vector

Authors: Noriko Kishi, Takashi Mizowaki, Mitsuhiro Nakamura, Yukine Shimizu

Affiliation: Kyoto University, Kyoto Univercity, Department of Radiation Oncology and Image-applied Therapy, Kyoto University Graduate School of Medicine, Department of Radiation Oncology and Image-applied Therapy, Graduate School of Medicine, Kyoto University

Abstract Preview: Purpose: To predict tumor positions in markerless dynamic tumor tracking (ML-DTT)-VMAT by compensating for the asynchrony between the tumor and the diaphragm.
Methods: Rotational fluoroscopic X-ray...

Follow-the-Leader Framework for Adaptable Target Segmentation in Radiotherapy

Authors: Mingli Chen, Xuejun Gu, Mahdieh Kazemimoghadam, Weiguo Lu, Qingying Wang

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, Department of Radiation Oncology, Stanford University School of Medicine

Abstract Preview: Purpose: This study introduces a novel template-guided deep learning framework for primary gross tumor volume (GTVp) segmentation, addressing challenges posed by diverse tumor types and enabling a uni...

Formulation of Equivalent Dose in 2-Gy Fractions (EQD2) Based on the Linear-Quadratic-Linear (LQL) Model from First Principles

Authors: Makunda Aryal, Qiongge Li, Sook Kien Ng, Christopher F. Njeh, Edwin Quashie, Senthamizhchelvan Srinivasan, Yun Wang

Affiliation: Indiana University Medical School, Memorial Health Care System, Indiana University, Inova Hospital, Indiana University School of Medicine, Department of Radiation Oncology

Abstract Preview: Purpose: Linear-Quadratic-Linear (LQL) model is a modification of the traditional Linear-Quadratic model used in radiobiology to describe cell survival in response to radiation. The LQL model extends ...

From Concept to Clinic: A Phase-Based Approach for Implementing Auto-Segmentation in Radiation Therapy

Authors: Elizabeth L. Covington, Robert T. Dess, Charles S. Mayo, Michelle L. Mierzwa, Dan Polan, Jennifer Shah, Claire Zhang

Affiliation: University of Michigan, Department of Radiation Oncology, University of Michigan

Abstract Preview: Purpose: Auto-segmentation improves contour consistency and standardization in radiation therapy but may introduce variations from current practices, potentially impacting treatment outcomes and toxic...

From Prediction to Practice: Performance of a Deep Learning-Based Breast Planning Algorithm

Authors: Thomas L. Hayes, Nicholas C. Koch, Han Liu, Qingyang (Grace) Shang, Benjamin J. Sintay, Caroline Vanderstraeten, David B. Wiant

Affiliation: Fuse Oncology, Cone Health, Cone Health Cancer Center

Abstract Preview: Purpose:
This study evaluates the accuracy of a deep learning-based automatic breast planning script in predicting beam energy for breast cancer treatments. The script was validated and implemented...

From Supine to Upright: A Geometric Shift in Perspective

Authors: Ben Durkee, Renata Farrell, Carri K. Glide-Hurst, Colin Harari, Alex Singleton Kuo, Chase Ruff, Jordan M. Slagowski, Yuhao Yan

Affiliation: University of Wisconsin, Departments of Human Oncology and Medical Physics, University of Wisconsin-Madison, Department of Human Oncology, University of Wisconsin-Madison

Abstract Preview: Purpose: Advances in upright CT and patient positioning system now enables high quality daily CT imaging and treatment delivery in the upright position, providing benefits including reduced internal m...

Functional Liver Image Guided Radiation Planning Using MRI with a Contrast Agent

Authors: Kenneth L. Homann, Natalie A Lockney, Hong Zhang

Affiliation: Department of Radiation Oncology, Vanderbilt University Medical Center, Vanderbilt University Medical Center

Abstract Preview: Purpose: The aim of this study is to develop a treatment planning methodology utilizing liver functional imaging via contrast-enhanced Magnetic Resonance Imaging (MRI) in patients undergoing stereotac...

Geant4-DNA Simulation of Human Breast Cancer Cells Line MCF7 Irradiation with 213bi As Targeted Radionuclides

Authors: Hamid Abdollahi Nasehabad, Mehrangiz Amiri, Mohammad Reza Deevband, Faraz Kalantari, Milad Peer-Firozjaei, Ali Shabestani Monfared, Ehsan Tajikmansoury

Affiliation: Biomedical Engineering and Medical Physics Department, School of Medicine, Shahid Beheshti University of Medical Sciences, Department of Radiology, University of British Columbia, Department of Radiation Oncology, University of Arkansas for Medical Sciences (UAMS), Department of Radiobiology and Medical Physics, Babol University of Medical Sciences, 1. Department of Radiobiology and Medical Physics, Babol University of Medical Sciences, Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine

Abstract Preview: Purpose:
Targeted radionuclide therapy (TRNT) with 213Bi- labeled radiopharmaceuticals is a promising approach in targeted alpha and beta therapy for cancer. This study aims to assess double-strand...

Generalized Ontological Framework for CT Data Profiling and Characterization

Authors: Njood Alsaihati, Ehsan Samei, Justin B. Solomon

Affiliation: Duke University, Clinical Imaging Physics Group, Department of Radiology, Duke University Health System

Abstract Preview: Purpose: Inconsistent imaging procedure naming across and within institutions challenges clinical decision-making, quality assessment, and data analysis in radiology. For example, The American College...

Generating 3D Brain in Volume (BRAVO) Images Using Attention-Gated Conditional Gan (AGC-GAN)

Authors: Nan Li, Shouping Xu, Gaolong Zhang, Xuerong Zhang

Affiliation: Department of Radiation Oncology, HeBei YiZhou proton center, School of Physics, Beihang University, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College

Abstract Preview: Purpose:
The 3D BRAVO sequence is an advanced magnetic resonance (MR) technique that allows for image reconstruction at any angle. It offers 1 mm gapless scanning and has a high signal-to-noise rat...

Image-Guided Adaptive Proton Therapy for Head and Neck Cancer Using a Novel Gantry-Less System

Authors: Philip Blumenfeld, Jon Feldman, Yair Hillman, Michael Marash, Aron Popovtzer, Alexander Pryanichnikov, Shimshon Winograd, Marc Wygoda, Vered Zivan

Affiliation: Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), P-Cure Ltd./Inc., Sharett Institute of Oncology, Hadassah Medical Center, Hebrew University of Jerusalem

Abstract Preview: Purpose:
Image-guided adaptive proton therapy (IGAPT) allows tailored dose adjustments to account for anatomical and physiological changes during treatment. Recent efforts have developed a cost-eff...

Impact of Arc Number Variation on VMAT Lattice Radiotherapy Plans

Authors: Minbin Chen, Gang Liu, Manju Liu, Weiwei Sang, Pulin Sun, Mingyuan Ye, Fang-Fang Yin, Lihua Zhang, Haiming Zhu

Affiliation: Jiahui International Hospital, Radiation Oncology, Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Medical Physics Graduate Program, Duke Kunshan University, Duke Kunshan University, The First People's Hospital of Kunshan

Abstract Preview: Purpose: This study aims to evaluate the effects of varying the number of arcs on treatment plans created using Volumetric Modulated Arc Therapy (VMAT) for Lattice radiotherapy (LRT).
Methods: Thre...

Impact of a Dedicated Working Group on Standardization of CT-Guided Adaptive Radiation Therapy

Authors: Anthony J. Doemer, Aharon Feldman, Ian Gallagher, Yimei Huang, Brett M. Miller, Benjamin Movsas, Kundan S Thind

Affiliation: Henry Ford Health

Abstract Preview: Purpose: CT-guided adaptive radiation therapy (CTgART) is a technical, resource intensive, procedure that involves many different radiation oncology team members. To ensure consistent, high-quality CT...

Implementation of an Innovative Digital Competency Record System

Authors: Benjamin J. Sintay, Caroline Vanderstraeten, David B. Wiant

Affiliation: Fuse Oncology, Cone Health

Abstract Preview: Purpose: The Joint Commission (JC) mandates that healthcare organizations establish and evaluate staff competencies to ensure safe and effective patient care. In the context of increasing sub-speciali...

Improving Head and Neck Radiotherapy Accuracy through Real-Time Volumetric Imaging Using a Kalman Filter Approach

Authors: Youssef Ben Bouchta, Chen Cheng, Owen Thomas Dillon, Mark Gardner, Paul J. Keall, Purnima Sundaresan

Affiliation: Radiation Oncology Network, Western Sydney Local Health District, Image X Institute, Faculty of Medicine and Health, The University of Sydney

Abstract Preview: Purpose: There are three clinical motivations for real time IGRT in head and neck cancer radiation therapy: (1)50% of patients experience anxiety from the patient mask (2)patient motion still occurs d...

Improving TG-263 Target Name Compliance Using Locally-Hosted Large Language Models

Authors: Rex A. Cardan, Carlos E. Cardenas, Udbhav S. Ram

Affiliation: The University of Alabama at Birmingham, University of Alabama at Birmingham

Abstract Preview: Purpose: The AAPM TG-263 report provides nomenclature guidelines for target and normal tissue structures used in radiation oncology. Adherence to these guidelines is challenging for targets, as there ...

Incorporating Physicians’ Contouring Style into Auto-Segmentation of Clinical Target Volume for Post-Operative Prostate Cancer Radiotherapy Using a Language Encoder

Authors: Steve B. Jiang, Chien-Yi Liao, Dan Nguyen, Daniel Yang, Hengrui Zhao

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab & Department of Radiation Oncology, UT Southwestern Medical Center

Abstract Preview: Purpose:
Post-operative radiotherapy for prostate cancer requires precise contouring of the clinical target volume (CTV) to account for microscopic disease that is invisible in the image. However, ...

Innovative Biological Adaptive Radiotherapy (BART) Approach for Head-and-Neck Cancer Treatment Interruptions

Authors: Nobuki Imano, Daisuke Kawahara, Akito S Koganezawa, Yuji Murakami, Ikuno Nishibuchi, Takuya Wada

Affiliation: Department of Information and Electronic Engineering, Faculty of Science and Engineering, Teikyo University, Department of Radiation Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University

Abstract Preview: Purpose: Adaptive radiotherapy (ART) compensates for treatment plans based on anatomical changes while not considering biological effects such as interruptions during treatment. This study aims to dev...

Innovative Workflow for Enhanced in-Vivo Dosimetry Using Gafchromic Film

Authors: Salim Balik, Nguyen Phuong Dang, Hualin Zhang

Affiliation: Radiation Oncology, Keck School of Medicine of USC

Abstract Preview: Purpose: An accurate and convenient monitoring of radiation dose delivery during treatment is essential for ensuring patient safety and treatment efficacy. This project aims to develop innovative algo...

Integrated Catheter Position and Dwell Time Optimization for Focal Dose Escalation in Prostate HDR Brachytherapy

Authors: Bryan Bednarz, John M. Floberg, Joseph B. Schulz, Jordan M. Slagowski

Affiliation: Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin - Madison, Department of Radiation Oncology, Stanford University School of Medicine, Department of Human Oncology, University of Wisconsin-Madison

Abstract Preview: Purpose: Catheter placement for high-dose-rate brachytherapy (HDR BT) is clinician dependent and potentially suboptimal for delivering simultaneous integrated boosts to intraprostatic gross tumor volu...

Integrating Knowledge-Based Planning with Ethos 2.0 for High-Quality Online Adaptive Lung SABR

Authors: Shahed Badiyan, Chien-Yi Liao, Mu-Han Lin, Dan Nguyen, Justin D. Visak, Hui Ju Wang, Brien Timothy Washington, Kenneth Westover, Yuanyuan Zhang

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab & Department of Radiation Oncology, UT Southwestern Medical Center, Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, Department of Radiation Oncology, UT Southwestern Medical Center

Abstract Preview: Purpose: Knowledge-based planning (KBP) plays a crucial role in improving treatment plans by leveraging previous clinical data to guide new cases. KBP is applied to the Ethos 2.0 Intelligent Optimizat...

Integration of Dosimetric Scorecard Analysis into Knowledge-Based Planning Improves Model Performance for VMAT Post-Mastectomy Radiation Therapy

Authors: Ryan Clark, Jon Cornelisse, Kenny Guida, Anthony Magliari, Lesley Rosa, Megan Smith, Shane R Stecklein

Affiliation: Office of Medical Affairs, Varian, A Siemens Healthineers Company, Department of Radiation Oncology, University of Kansas Medical Center

Abstract Preview: Purpose: Post-mastectomy radiation therapy (PMRT) can pose a challenge for planners of all levels of experience. For cases where 3D conformal therapy yields undesirable results (i.e., dose heterogenei...

Inter-Patient Adaptive Radiotherapy (IPART): A CT Simulation and Planning Free Approach Enabling Immediate Treatment Access for Patients.

Authors: Bin Cai, Andrew R. Godley, Brian A. Hrycushko, Heejung Kim, Mu-han Lin, David D.M. Parsons, Justin D. Visak, Da Wang, Tingliang Zhuang

Affiliation: Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, UT Southwestern Medical Center, University of Texas Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, Department of Radiation Oncology, UT Southwestern Medical Center

Abstract Preview: Purpose: The standard radiation therapy workflow requires CT-simulation and planning, whether for initial treatments or re-planning due to significant anatomical changes. IPART instead uses one patien...

International Survey of Electronic Medical Device Management in Radiation Therapy

Authors: Angela Gearhardt, Stephen F. Kry, Christopher Ryan Peeler, Julianne M. Pollard-Larkin

Affiliation: The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences; The University of Texas MD Anderson Cancer Center, The University of Texas MD Anderson Cancer Center

Abstract Preview: Purpose: Electronic medical devices (EMDs) must be carefully managed in radiation oncology to prevent radiation-induced device malfunction. Only one EMD, pacemaker/defibrillator, has a recommended pro...

Introduce a Novel Spot-Scanning Proton Arc(SPArc) Optimization Algorithm for Single Energy Extraction(SEE) Synchrotron-Accelerator-Based Proton Therapy System (PTS)

Authors: Xiaoda Cong, Xuanfeng Ding, Gang Liu, Peilin Liu, Jiajian Shen

Affiliation: Department of Radiation Oncology, Mayo Clinic, Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Corewellhealth William Beaumont University Hospital

Abstract Preview: Purpose: This study aims to develop the first SPArc optimization algorithm based on the Dynamic Programming (SPArc-DP), to improve the treatment delivery efficiency for synchrotron-accelerator-based P...

Investigating the Effect of Beam Flattening Filter on Dose Estimated with Varian’s Original and Enhanced Mlc Models

Authors: Kenny Guida, Hongyu Jiang, Harold Li, Hem Bahadur Moktan Tamang

Affiliation: University of Nebraska Medical Center, Department of Radiation Oncology, University of Kansas Medical Center

Abstract Preview: Purpose: Varian Eclipse v18.0 introduced Enhanced Leaf Model (ELM) of MLC, which provides better dose calculation accuracy than original DLG-based MLC model. The leaf-gap (LG) parameter for ELM repres...

Joint Optimization of Patient-Specific Range Modulators and Beam Intensities for Conformal Flash Proton Therapy

Authors: Hao Gao, Jiayue Han, Wangyao Li, Yuting Lin, Jufri Setianegara, Aoxiang Wang, Yanan Zhu

Affiliation: Department of Biomedical Engineering, Huazhong University of Science and Technology, Department of Radiation Oncology, University of Kansas Medical Center

Abstract Preview: Purpose: Proton therapy leverages Bragg-peak-based dose delivery to achieve ultra-high-dose-rate FLASH with patient-specific range modulators (PSRM). Current proton FLASH (pFLASH) planning typically i...

Knowledge-Based Planning in Proton Therapy: Validation and Model Size Considerations with Limited Data

Authors: Gregory A Azzam, Michael Butkus, Nesrin Dogan, Robert Kaderka, Nhan Vu, Yihang Xu

Affiliation: University of Miami, Department of Radiation Oncology, University of Miami, University of Miami Sylvester Comprehensive Cancer Center, University of Miami, Sylvester Comprehensive Cancer Center

Abstract Preview: Purpose: Knowledge-based planning (KBP) has demonstrated potential for improving planning quality and efficiency. Adoption of KBP in particle therapy has been slow due to limited number of plans to tr...

Knowledge-Informed Deep Learning for Accurate and Interpretable Extracapsular Extension Detection in Head and Neck Squamous Cell Carcinoma

Authors: William N. Duggar, Amirhossein Eskorouchi, Haifeng Wang

Affiliation: Mississippi State University, University of Mississippi Medical Center

Abstract Preview: Purpose:
Extracapsular extension (ECE) in lymph nodes represents a critical prognostic factor in head and neck squamous cell carcinoma (HNSCC), bearing important implications for staging, treatment...

LLM-Enhanced Multi-Modal Framework for Predicting Pain Relief of Stereotactic Body Radiotherapy for Spine Metastases Using Clinical Factors and Imaging Reports

Authors: John Byun, Steven D Chang, Mingli Chen, Cynthia Chuang, Xuejun Gu, Melanie Hayden Gephart, Yusuke Hori, Hao Jiang, Mahdieh Kazemimoghadam, Fred Lam, Gordon Li, Lianli Liu, Weiguo Lu, David Park, Erqi Pollom, Elham Rahimy, Deyaaldeen Abu Reesh, Scott Soltys, Gregory Szalkowski, Lei Wang, Qingying Wang, Zi Yang, Xianghua Ye, Kangning Zhang

Affiliation: Department of Radiation Oncology, Stanford University, Department of Neurosurgery, Stanford University, Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, Department of Radiation Oncology, Stanford University School of Medicine

Abstract Preview: Purpose: Accurate prediction of pain relief is crucial in determining the clinical effectiveness of Stereotactic body radiotherapy (SBRT) regimen for spine metastases. We propose a deep-learning frame...

Liver Tumor Auto-Contouring Using Recurrent Neural Networks on MRI-Linac for Adaptive Radiation Therapy

Authors: Yan Dai, Jie Deng, Christopher Kabat, Weiguo Lu, Ying Zhang, Hengrui Zhao

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Lab & Department of Radiation Oncology, UT Southwestern Medical Center

Abstract Preview: Purpose:
MRI-guided adaptive radiotherapy (MRgART) using MR-LINAC systems offers significant advantages for liver cancer, enabling superior tumor delineation and online plan adaptation. However, ma...

Log-Based Predictive Modeling of the Dynamic Collimation System (DCS) Trimmer Dynamics for Efficient Proton Pbs Delivery

Authors: Wesley S. Culberson, Albert Du, Ryan T. Flynn, Ryan Gardner, Alonso N. Gutierrez, Patrick M Hill, Daniel E. Hyer, Eric Jensen, Kaustubh A. Patwardhan, Blake R. Smith, Nhan Vu, Karsten K. Wake

Affiliation: University of Wisconsin, Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin - Madison, Miami Cancer Institute, Baptist Health South Florida, Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, Ion Beam Applications (IBA), University of Iowa, Iowa Health Care

Abstract Preview: Purpose: To develop an accurate predictive temporal model for the movement of Dynamic Collimation System (DCS) trimmers during collimated proton pencil beam scanning (PBS) deliveries using log data. T...

Lymphocytic Feature Characterization Using a Deep Learning Algorithm on Post-Radiation Lymph Nodes

Authors: Rico Castillo, Katherine Gonzalez, Casey C. Heirman, Kyle J. Lafata, Casey Y. Lee, Xiang Li, Yvonne M Mowery, Yvonne M Mowery, Daniel Murphy, Allison Pittman, Ashlyn G. Rickard

Affiliation: Duke University, Department of Radiation Oncology, Duke University, University of Pittsburgh

Abstract Preview: Purpose: To evaluate the ability of a deep learning model to identify pathomic features in lymph nodes of preclinical head and neck squamous cell carcinoma (HNSCC) models as surrogates for predicting ...

MC-Dolce: Monte Carlo-Based System for Dose and Linear Energy Transfer Calculations Engine for Carbon-Ion Radiotherapy

Authors: Min Cheol Han, Jin Sung Kim, Seok Ho Lee, Gahee Son, Yongdo Yun

Affiliation: Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Hanyang University, Department of Integrative Medicine, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine

Abstract Preview: Purpose: This study aims to develop the MC-DOLCE, a Monte Carlo (MC)-based system capable of calculating physical and biological dose distributions, as well as linear energy transfer (LET) distributio...

Mask-Based Synthetic Contrast-Enhanced CT Generation for Advancing Data Limited Segmentation on Cardiac Substructure

Authors: Jin Sung Kim, Chanwoong Lee, Young Hun Yoon

Affiliation: Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine

Abstract Preview: Purpose: Chest contrast-enhanced CT (CECT) serves as a valuable tool for cardiac imaging, but its lack of detailed anatomical visualization limits its utility in segmentation tasks. While CECT offers ...

Maximum Conformity IMPT Planning with the Dynamic Collimation System

Authors: Wesley S. Culberson, Albert Du, Ryan T. Flynn, Alonso N. Gutierrez, Patrick M Hill, Daniel E. Hyer, Kaustubh A. Patwardhan, Blake R. Smith, Nhan Vu, Karsten K. Wake

Affiliation: University of Wisconsin, Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin - Madison, Miami Cancer Institute, Baptist Health South Florida, Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, University of Iowa, Iowa Health Care

Abstract Preview: Purpose:
To perform end-to-end treatment planning and delivery verification of energy-specific collimated treatments optimized to achieve the maximum obtainable high-dose conformity using the dynam...

Medical Physics Training Program, Staff Retention, and Service Improvement Strategy in a Regional Radiotherapy Centre

Authors: Dilli Banjade, Ajeet Mishra, Shiaw Juen (Eugene) Tan

Affiliation: District Radiation Oncology Service WNW Health

Abstract Preview: Purpose: A shortage of qualified Radiation Oncology Medical Physicists (ROMPs) poses a critical challenge to providing advanced treatments in regional Australia. Training and retaining medical physici...

Medical Physics in the Oncoverse

Authors: Chandrasekhar Kota

Affiliation: Christiana Care Hospital

Abstract Preview: Purpose: To reflect on the present and future role of Medical Physics in the Oncoverse.
Methods: Oncoverse is the rapidly evolving and expanding ecosystem of all things related to cancer. The Medic...

Memory-Efficient Deep Learning for Volumetric Cone-Beam CT Image Reconstruction

Authors: Ziqi Gao, Lei Xing, Siqi Ye, S. Kevin Zhou

Affiliation: Department of Radiation Oncology, Stanford University, University of Science and Technology of China (USTC)

Abstract Preview: Purpose: To address the challenge of high memory usage in volumetric cone-beam CT (CBCT) imaging, we propose a method that combines joint reconstruction and super-resolution for sparsely sampled CBCT ...

Mid-Range Planning for Efficient and Robust Proton Arc Therapy

Authors: Mingli Chen, Xuejun Gu, Mahdieh Kazemimoghadam, Weiguo Lu, Qingying Wang, Zi Yang, Kangning Zhang, You Zhang

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, Department of Radiation Oncology, Stanford University School of Medicine

Abstract Preview: Purpose: Delivery efficiency and robustness are critical in spot-scanning proton arc therapy (SPAT), yet the conventional use of redundant energy layers (ELs) prolongs switching times and reduces effi...

Mitigating Data-Driven Uncertainty in Machine Learning-Based Radiotherapy Outcome Prediction

Authors: Ali Ajdari, Alice Bondi, Thomas R. Bortfeld, Gregory Buti, Xinru Chen, Zhongxing Liao, Antony John Lomax, Ting Xu

Affiliation: The University of Texas MD Anderson Cancer Center, Department Of Radiation Oncology, Massachusetts General Hospital (MGH), Massachusetts General Hospital & Harvard Medical School, Paul Scherrer Institut, ETH Zurich

Abstract Preview: Title: Addressing Imaging and Biomarker-driven Uncertainty in Machine Learning-based Radiotherapy Outcome Prediction
Alice Bondi, Gregory Buti, Antony Lomax, Thomas Bortfeld, Xinru Chen, Ting Xu, Z...

Modality-Agnostic Image Cascade (MAGIC) for Multi-Modality Cardiac Substructure Segmentation

Authors: Ming Dong, Carri K. Glide-Hurst, Qisheng He, Anudeep Kumar, Alex Singleton Kuo, Joshua Pan, Chase Ruff, Nicholas R. Summerfield

Affiliation: Department of Computer Science, Wayne State University, Departments of Human Oncology and Medical Physics, University of Wisconsin-Madison, Department of Human Oncology, University of Wisconsin-Madison

Abstract Preview: Purpose: Recent evidence highlights the importance of incorporating cardiac substructures (CS) into treatment planning for thoracic cancers, however current segmentation methods are limited to a singl...

Multi-Modality Artificial Intelligence for Involved-Site Radiation Therapy: Clinical Target Volume Delineation in High-Risk Pediatric Hodgkin Lymphoma

Authors: Tyler J Bradshaw, Sharon M Castellino, Steve Y Cho, David Hodgson, Bradford S Hoppe, Kara M Kelly, Andrea Lo, Sarah Milgrom, Xin Tie

Affiliation: Department of Radiation Oncology, University of Toronto, Department of Radiology, University of Wisconsin, University of Colorado Anschutz, Department of Medical Physics, University of Wisconsin, Department of Radiation Oncology, Mayo Clinic, Department of Radiation Oncology, BC Cancer, Vancouver Center, Department of Radiology, University of Wisconsin - Madison, Roswell Park Comprehensive Cancer Center, Emory University School of Medicine

Abstract Preview: Purpose: Clinical target volume (CTV) delineation for involved-site radiation therapy (ISRT) in Hodgkin lymphoma (HL) is time-consuming due to the need to analyze multi-time-point PET/CT scans co-regi...

Multi-Sid Optimization for 4 Pi Robotic Radiotherapy

Authors: Qihui Lyu, Dan Ruan, Ke Sheng, Jingjie Yu

Affiliation: Department of Radiation Oncology, University of California, Los Angeles, University of California, San Francisco, Department of Radiation Oncology, University of California, San Francisco

Abstract Preview: Purpose: The robotic arm radiotherapy platform enables flexible delivery of non-coplanar and non-isocentric radiotherapy with variable Source-to-Isocenter Distances (SIDs). However, the high degrees o...

Multimodal Framework for Predicting Radiation-Induced Severe Acute Esophagitis in Esophageal Cancer

Authors: Yeona Cho, Chloe Min Seo Choi, Joseph O. Deasy, Jue Jiang, Jihun Kim, Jin Sung Kim, Nikhil Mankuzhy, Aneesh Rangnekar, Andreas Rimner, Maria Thor, Harini Veeraraghavan, Abraham Wu

Affiliation: University of Freibrug, Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Department of Radiation Oncology, Gangnam Severance Hospital, Yonsei University College of Medicine, Memorial Sloan Kettering Cancer Center, Yonsei University

Abstract Preview: Purpose: We hypothesized that combining clinical, imaging, and radiotherapy dose-distribution features could increase predictive model accuracy in radiation-induced severe acute esophagitis (SAE) in e...

N/A

Authors: Houssam Abou Mourad, Christopher Ackerman, Stephen Adler, Kirk Aduddell, Muhammad K. Afghan, Hamid G. Aghdam, Diego Aguilar, Kang-Hyun Ahn, Francis Ai, Hua Ai, Ray Anthony Aikens, Manik Aima, Victoria Ainsworth, Erfan Akbari, Blessing Akinro, Rani Al-Senan, Khalid Alabbasi, Sam Alam, Daniel Alexander, Mohammed H. Aljallad, Mazin T. Alkhafaji, Ahmad K. Alkhatib, Scott J. Alleman, James Logan Allen, Ibtisam Almajnooni, Tiba Alnaqshabandi, Murat Alp, Stephen J. Amadon, Riska Amilia, Ala Amini, Shiho Amster, Mason R. Anders, Erin Angel, Ledi Anggara, John A. Antolak, Debora Antonio, Felicity Appiah, Haiqa Arain, Lahcen Arhjoul, Ali V. Aritkan, Muhammad Arshad, Mark E. Artz, Nathan S. Artz, Frank A Ascoli, John R. Ashburn, Benjamin Astarita, Masakazu Atsumi, Rex G. Ayers, Tara M. Bachman, Nina L. Bahar, Bing Bai, Michael J. Bailey, Chris Baird, Mohammad Bakhtiari, Andrew J. Ballesio, Isabel Balvoa, Qinan Bao, Jeffrey J. Barbarits, Joseph Barbiere, Philip C. Bardos, Gary T. Barnes, John C. Barrett, Divya Bartley, Steven J. Bartolac, Robert Barton, Christopher P. Bass, Loni Bates, Alan Baydush, John E. Bayouth, Stephen Beach, Kevin Beaudette, Kaelyn Becker, Natalie A. Beckmann, Colleen Beer, Sepideh Behinaein, Jake M. Bell, David M. Bellezza, Maria R. Bellon, Ahmed Benelfassi, Stephanie Louise Bennett, Todd Bernath, Kate Bevins, Nicholas B. Bevins, Brian J. Bismack, David Blaich, Anthony P. Blatnica, Joseph W. Blickenstaff, Steven Blum, Maggie Bobbett, Dayna Bodensteiner, Daniel Boedeker, Robert C. Boggs, Jason D. Bond, Sjirk N. Boon, Jennifer M. Borsavage, Ryan J. Bosca-Harasim, Ryan J. Bosca-Harasim, Satya R. Bose, Todd Bossenberger, Cristina Boswell, Djamal Boukerroui, Christopher M. Bowen, Aaron Brammer, Rich Brancaleoone, Eric Brass, Luis Bravo, William Breeden, Christina Breeze, Eric E. Brost, Justin L. Brown, Karen L. Brown, Marissa Brown, Norman Lee Brown, Payton Brown, Patrick V. Brunick, Ryan Brunkhorst, Gwendolyn P. Brunner, Camelia E. Bunaciu, Maria Bunta, Olwen Burton, Karim Butalag, Priscilla F. Butler, Angela Cagwin, Jeffrey L. Campbell, Warren G. Campbell, Tyler Cantrell, Xu Cao, Yanan Cao, Peter F. Caracappa, Amanda M. Caringi, Joe Caron, Joshua Carter, Kenneth W. Cashon, Sarah Castillo, Everett Cavanaugh, Suran Chae, Abhi Chakrabarti, PhD, Philip Chan, Jina Chang, Sha X. Chang, Youssef M. Charara, Pierre E. Charpentier, Priyanka Chaudhary, Senthamil Selvan Chelliah, Chen Chen, Doris Chen, Kuan Ling Chen, Max Chen, Mingyue Chen, Mu Chen, Xinan Chen, Yie Chen, Yong Chen, Caroline Cheney, Shyh-Shi R. Chern, Stephen Thomas Chesser, Kin Man Cheung, Pai-Chun Melinda Chi, Yuwei Chi, Omar Chibani, Hung Ching, Gwi Ae Cho, Jongmin Cho, David Choi, Wing Yan Choi, Nitish Chopra, Daniel Christ, Olav I. Christianson, Emmanuel Christodoulou, Heeteak Chung, Sophia Claudio, Arely Clavel, William J. Clouse, Gilad Cohen, Michael S. Cohen, Vladimir Collantes, Jason Collier, Jacob Collins, Daria C. Comsa, Charles Conduah, Virgil N. Cooper, Anita M. Corrao, Frank D. Corwin, Mihaela Cosma, Ben Coull-Neveu, Mary K. Cox, Daniel F. Craft, Steven D. Crawford, Troy M. Crawford, Charles E. Creagh, Beatrice Croteau, Camille Crumbley, Wilbert F. Cruz, Guoqiang Cui, J. Adam M. Cunha, Scott Cupp, Bruce H. Curran, Jordan McCauley Cutsinger, Alita D Almeida, Harold DSouza, Nana Dabo-Akoteng, Robert Dahl, Shaun W. Dahl, Ghayath Dakkouri, Malek Daneshvarnezhad, Mylinh Dang, Matt Daniels, George M. Daskalov, David A. Davenport, Amanda Davidek, Scott E. Davidson, Maria De Ornelas, Dylan A. DeAngelis, Mike Deady, Daniel Dean, Savannah Decker, Savannah Decker, Michael Delafuente, Omer Demirkaya, Logan Dempsey, Marc Dennis, Viv Dennis, Dana Derby, Garron A. Deshazer, Veronique Destombes, Ajaya K. Devabhaktuni, Suneetha Devpura, James A. Deye, Shalmali Dharmadhikari, Dominic J. DiCostanzo, Richard V. DiPietro, Emily Diller, Lei Ding, Nayha V. Dixit, Charles Dodge, David N. Dodoo Amoo, Shana Donchatz, Lei Dong, Elangovan Doraisamy, Jennifer E. Dorand, Sarah Driver, Jiayi Du, Michael Duax, Ibrahim M. Duhaini, Ibrahim Duhaini, Kristen Duke, Richard Dunia, Leon Dunn, Shannon R. Durfee, Brittany Earl, Behzad Ebrahimi, Colton Eckert, Hisham Elasmar, John G. Eley, Abdelhamid Elfaham, David C. Ellerbusch, Scott J. Emerson, Sara Endo, David Erickson, Freddy Escorcia, Caroline Esposito, Patrice Essien, Adam Evearitt, Benjamin Fahimian, Liliosa C. Fajardo, Kevin Fallon, Guoqing Fan, Jiahua Fan, Mingdong Fan, Pei Fan, Bing Fang, Jian Fang, Yile Fang, Marc A. Felice, Ye Feng, Michele Sutton Ferenci, Philippe Feru, Jade Alecia Fischer, Aaron Fishbein, Caitlyn M. Fitzherbert, Damian Fondevila, Grant Fong, Robert Wesley Foster, Luke Fourie, Jeffrey Brian Fowlkes, Alexandre Franca Velo, D. Jay Freedman, Ronald W. Frick, Jie Fu, Samuel Fulton, Kamalakar Gaddam, Justin D. Gagneur, Mariana Gallo, Mariana Gallo, David Gammel, Robert G. Gandy, Junfang Gao, Yiming Gao, Victor L. Garcia, Michael Garcia-Alcoser, Jeffrey Garrett, Steven Anthony Gasiecki, Keith Gatermann, Avinash Gautam, Bhoj Gautam, Olivier Gayou, Andrew J. Gearhart, Paul B. Geis, Renil B. George, David P. Gierga, Robert Gilliam, James Giltz, Eric L. Gingold, Frederic Girard, Garth Gladfelder, Sharon Glaze, Brendan K. Glennon, Steven P. Glennon, Guy Godwin, David Lloyd Goff, Lisa M. Goggin, Daniel Goldberg-Zimring, Edward Joseph Goldschmidt, Ehsan Golkar, Angel Gomez, Jason Gong, Manish K. Goyal, Frank Graeff, Royce L. Gragg, Jonathan Gray, Alexander D. Green, Olga L. Green, Andrew Christopher Greene, Travis Greene, Jared Grice, Kevin T. Grizzard, Suveena Guglani, Jeffrey B. Guild, Patrick P. Guo, Sandesh Gupta, Megan Gute, Jonathan Ha, Rachael L. Hachadorian, Christopher Haddad, Lubomir Hadjiiski, Scott W. Hadley, Tomoe Hagio, Kelsey Hall, Logan P. Hall, Klaus A. Hamacher, Amineh Hamad Khatib, Amineh O. Hamad Khatib, Brian R. Hames, Carnell Hampton, Samuel S. Hancock, Robyn S. Handschuh, Jeremy Hansen, Paul Harden, Joseph Harms, Daniel P. Harrington, Carley Harris, Jamie Marie Harris, Jennifer Hart, Richard P. Harvey, Jeremy Hawk, Naoki Hayashi, Maria Laura Haye, Katherine Hazelwood, David Hearshen, Bret H. Heintz, Adam Henry, Frank William Hensley, Michael Chris Hermansen, Marissa Hernandez, Nadia Hernandez, Dayadna Hernandez Perez, Sarah Hetherington, Emily Hewson, Maynard High, Brian P. Hill, Charles B. Hill, Yunsil Ho, Simeon Hodges, David M. Hoeprich, Michael N. Hoff, Robert F. Hoffman, Russell Holden, Clay Holdsworth, Scott Hollingsworth, John R. Holmes, Steve Holmes, Neal S. Holter, Thomas M. Holtschneider, Amirul Hoque, Sabbir Hossain, Tyler S. Howlin, Andrew Robert Hoy, An Ting Hsia, Hao-Yun Hsu, David Hu, Tom C. Hu, Yu-Chi Hu, Long Huang, Mi Huang, Joshua Hubbell, Michael J. Huberts, Julie C. Hudson, Geoffrey Hugo, Donglai Huo, Justin D. Hurley, Martina H. Hurwitz, Mohammad NASEEM Hussain, Andrew Hwang, Ui-Jung Hwang, Joe Ianni, Geoffrey Ibbott, Khalil Ibrahim, Ileana Iftimia, Mohammad Islam, Oleksandra Ivashchenko, Keyvan Jabbari, Joshua Jackson, Joshua Jackson, Ferenc Jacso, Mary Ellen Jafari, Karim Jaffer, Amit Jain, Ngoneh Jallow, Sachin R. Jambawalikar, Joshua A. James, Sunyoung Jang, Desiree Jangha, Tomaj Javidtash, Jun-Hsuang Jen, Peter Jenkins, Todd P. Jenkins, Andrew R. Jensen, Mads Lykke Jensen, Hosang Jin, Bowen Jing, Danielle Marie Johnson, Joshua D. Johnson, Holly Johnston, Kevin Jones, Badal R. Juneja, Nikhil Sriram Kabilan, Robert Kaderka, Jaclyn Kain, Faraz Kalantari, Maduka M. Kaluarachchi, Ali Kamen, Amrit Kaphle, Alireza Kassaee, Saravjeet Kaur, Vaiva Kaveckyte, Linda A. Kelley, Katelyn Kelly, Kathryn Elise Bales Kelly, Delsin B. Khan, Om Khanal, Maksud Khatri, William Steadman Kiger, Bryan Kim, Jong Oh Kim, Sangroh Kim, Sophia Kim, Brian W. King, Erica Kinsey, Assen S. Kirov, Marc T. Kleiman, Matic Knap, Robert J. Kobistek, Inger-Karine Kolkman-Deurloo, Erika Kathryn Kollitz, Dramane Konate, Xiang Kong, Walter Kopecky, Sandra Kos, Nataliya Kovalchuk, Shane Krafft, James A. Kraus, Robert Krauss, Deae-eddine Krim, Serguei Kriminski, Kerry T. Krugh, Lichung Ku, Esra Kucukmokroc, Randi Kudner, Andrew T. Kuhls-Gilcrist, Antti Juhani Kulmala, Akila D. Kumarasiri, Zacariah E. Labby, Taylor Lackey, Edcer Jerecho Laguda, Thang Lam, Michael A. S. Lamba, Kara Lambson, Laurel Zenaida Larramendi, Andy D. Lau, Wolfram Laub, Tyler Laugh, Robert P. Laureckas, Donald Laury, Patricia Lavey, Ashlie Laydon, Adam LeVay, Brandon Lee, Brian Lee, Dong-Chang Lee, Ji Hyun Lee, Jui-Min Lee, Bryan Lemieux, Matthew Lesher, Nicole Leslie, Etienne Lessard, Trish Lewis, Alan Li, Alexander N. Li, Hui Li, Jenny Li, Jiaxin Li, Qiongge Li, Taoran Li, Xiang Li, Yanlong Li, Zisheng Li, Xing Liang, Yun Liang, Chien-Yi Liao, Karisa Liaw, Sung-Yen Lin, Tiffany Lin, Holly M. Lincoln, Lin Ling, Chang Liu, Shaohua Liu, Yu Liu, Chih-Ming Mark Lo, Eric Lobb, Dilson Lobo, Virginia L. Lockamy, Lauren C. Long, Nelia S. Long, Troy Long, Michele Loscocco, Thomas Lowinger, Cynthia Lu, Minghui Lu, Winnie Lu, Yonggang Lu, Jianqiao Luo, Pei-Chin Luo, Xuhan Luo, Jan Luse, Daniel A. Lutterman, Dang Hoang Oanh Luu, Yulia Lyatskaya, Trina Lynd, Morgan Cervo Lyon, Chi Ma, Jingfei Ma, Tianjun Ma, Laurie Madden, Gregory E. Madison, Kurt Maffei, Michael J. Maffett, Nyasha G. Maforo, Dennise Magill, Emma Magness, Alphonso W. Magri, Dennis Mah, Usman Mahmood, Rebecca N. Mahon, Courage Mahuvava, Andrew D. Maidment, Gerassimos M. Makrigiorgos, Harish K. Malhotra, Kate Mallory, P. Scott Mange, Vivek Maradia, Jacob Marasco, Camilla Marino, Loren R. Marous, Wagner Marques, Craig M. Marsden, Edward I. Marshall, Jonathan Marshall, Caroline Martel, Colin Martin, Alejandro Martinez, Jeffrey P. Masten, Richard Mathew, Bobby Mathews, Anetia S. Matthews Jackson, Matthew R. Maynard, Joel R. McAllister, Rafe McBeth, James A. McCulloch, Kiernan T. McCullough, Keelin McGee, Kiaran P. McGee, Brian M. McGill, Christopher M. McGuinness, Robert McKoy, Steven M. McQuiggan, Lacey Medlock, Chirag D. Mehta, Nancy Meiler, Robert Meiler, Matthew A. Meineke, Caroline Melancon, Daniel S. Meleason, Carolyn Meltzer, Chunhua Men, Stephanie Merkl, Michael Merrick, Keith A. Michel, Georgeta Mihai, Ana Mihail, Devin A. Miles, Edward J. Miller, Elizabeth A. Miller, Ronaldo Minniti, Linda Minor, Filmon Misgina, Ajeet Kumar Mishra, Chad Mitchell, Drew P. Mitchell, Gregory S. Mitchell, Jessica Mitchell, Jacqueline Moga, Uwe Mollenhauer, Julien-Fabrice Ngoune Momo, Emi Mondragon, Nicholas Mongillo, Victor J. Montemayor, Scott Montgomery, Diego Luis Montufar Hidalgo, Mohammadamin Moradi, Serban Morcovescu, Jill Anna Moreau, Terrance Moretti, Toby Morris, Courtney K. Morrison, Alexander Albert Morrow, Jill Moton, Jonathon Mueller, Reshma Munbodh, Daniel W. Mundy, Daniela Murgulet, Scott A. Murphy, Benjamin C. Musall, Jana E. Musgrove, Samantha Musial, Yong Hum Na, Joel Nace, Paul Naine, Justin Napolitano, Vrinda Narayana, Ganesh Narayanasamy, Moulay Ali Nassiri, Muhammad Naveed, Richard D. Nawfel, Ritish Nedunoori, Aaron Nelson, Kristin J. Nelson, Aaron Nelson, MD, Neerajan Nepal, Emily Neubauer Sugar, Shree Neupane, David Newey, Mark Newpower, Susan Ng, Bau H. Nguyen, Daniel J. Nicewonger, Xingyu Nie, Ethan Nikolau, Kevin D. Nitzling, Kai Niu, John M. Noll, Prashanth K. Nookala, Khalid Noori, James T. Norweck, Hamidreza Nourzadeh, Jessica L. Nute, Sebastiaan Nysten, Kevin OGrady, Ceferino Obcemea, Keith Ober, Jacqueline Ogburn, Timilehin Ogunbeku, Mina Okello, Brian Olson, Martin Keane Ongeti, Savannah Orrill, Joseph Ott, Bahadir Ozus, Jan Pachon, Alexis Paige-Glenn, Jason Paisley, Farideh Pak, Randahl C. Palmer, Kiran Pant, Virginia Pappas, Abby Pardes, So-Yeon Park, Alexis Parker, Karla Parker, Homayon Parsai, Tommy O. Parsons, Pankaj Patel, Amy Patrick, Johnlly G. Pattaserial, Lindsey M. Patton, Taylor J. Patton, Nava R. Paudel, Timothy John Paul, Colin Paulbeck, Olga V. Pen, Cheng Peng, Yuanlin Peng, Carmelo Perez, Dominik Peruƥko, Alexander Pevsner, Douglas Pfeiffer, Melanie Piantino, Daniel Piatigorski, Rajesh Pidikiti, Natalie Piechowska, Greg Pierce, Tina Pike, Donika Plyku, Robert Pohlman, Mariela Adelaida Porras-Chaverri, Subechhya Pradhan, Guillem Pratx, Chris Proctor, Alexander Pryanichnikov, Diane Pugel, Yue Qiu, Adam C. Quinton, Todd Racine, Andrea Radine, Dustin K. Ragan, Balasubramanian Rajagopalan, Kishore Rajendran, Eric V. Ramirez, Mehdi Ramshad, Vijay K. Rana, Brianne Raulston, Amy K. Readshaw, Hailey Reaux, Ian Reineck, Xuemin Ren, Meral L. Reyhan, Davenport Ria, Matthew J. Riblett, Kenneth M. Richardson, Rebecca F Richardson, Matthew Richeson, Ashlyn Rickard, Adam Riegel, Lynn N. Rill, Miguel A. Rios, E. Russell Ritenour, Scott P. Robertson, Marthony L. Robins, Rebecca Robinson Rey, Steve Rodney, Priscila Rodrigues, Edgardo Rodriguez, Tino Romaguera, Emilie Roncali, Joseph E. Roring, Alison R. Roth, Lawrence N. Rothenberg, Nick Rothwein, Kricia Emilia Ruano Espinoza, Damian DG Rudder, Donald R. Ruegsegger, Erwin W. Ruff, Brandon J. Russell, Frederick Rustad, Narayan Sahoo, Jonathan H. Saleeby, Habeeb H. Saleh, Flavio Salinas Aranda, Steffen Sammet, Daniel Sandoval, Aman Sangal, Joseph P. Santoro, Maíra Santos, Alexis Marie Sanwick, Milind Sardesai, Vikren Sarkar, Duminda Satharasinghe, Jessica L. Saunders, Carmen Sawyers, Sarah B. Scarboro, James Scheuermann, Colleen G. Schinkel, Dale Schippers, Joshua William Schlegel, David J. Schlesinger, Charles Ross Schmidtlein, Erich Schmitz, Jose Schneider, Erich A. Schnell, Lisa Schober, Leah Schubert, Michelle L. Schwer, James Seekamp, Jennifer Seger-Paisley, J. Anthony Seibert, Balaji Selvaraj, Raj N. Selvaraj, Meredith A. Semon-Pomposelli, Lasitha Senadheera, Naima Senhou, Christopher F. Serago, Hananiel Setiawan, Shakil B. Shafique, Aarti Shah, Hina Shah, Alok Shankar, Ryan Shanks, Kritika Sharma, Sunil K. Sharma, Jennifer M. Shealy, Ron Sheen, Gina L. Shelton, Mohammad Ullah Shemanto, Zion Sheng, Andrew J. Shepard, Justin R. Sherman, Kaizhong Shi, Xiaolin Shi, J. Allen Shih, Taciana Soares Shiue, Deborah J. Shumaker, Noah Silverberg, Ramon Alfredo C. Siochi, Amogh Sirniirkar, Marlene Skopec, Michael G. Skowronski, Dana Smetherman, Erika Smith, Eileen Sneeden, Jesse Snyder, James C. So, Emilie Soisson, Nima Soltani, Kwang Hyun Song, Liang Song, Xiaoling Song, Jigar B. Soni, Yashvant C. Soni, Jagadeesh R. Sonnad, Michael A. Speidel, Michael P. Speiser, James D. Speitel, Tanya Spellman, Joseph Patrick Speth, Daniel J. Spitznagel, Sara T. St. James, Alexander Stanforth, George Starkschall, James Stebelton, James P. Steinman, Jonathan M. Stenbeck, Robin L. Stern, Patrick D. Stevens, Erika Stewart, Gary Stinnett, Sarah A. Strand, Keith J. Strauss, Kristen Stryker, Edward Sudentas, Kevinraj N. Sukumar, Orhan H. Suleiman, John L. Sullivan, Paul Robert Sullivan, Mei Sun, Peng Sun, Kumari Sunidhi, Jacob Sunnerberg, Elizabeth A. Swanson, William J. Swanson, Larry E. Sweeney, Sean Swiedom, Gregory Szalkowski, Katsuyuki Taguchi, MohammadAli Tajik-Mansoury, Reza Taleei, Derek Tang, Shengzhang Tang, Mahin Tariq, Jason S. Tavel, Neelima Tellapragada, Alexandra Tellez, Dawn Tellez, Juan Manuel Tellez, Xiaokun Teng, James A. Terry, Biniam Tesfamicael, Confex Test, Aapm Tester, Contex Tester, Namita Thakur, David J. Theel, Kathleen D. Thomas, Emily A. Thompson, Stephen K. Thompson, Daniela Thorwarth, Kevin Tierney, Anders Tingberg, Ragu S. Tirukonda, Robert A. Tokarz, Robert J. Tokarz, Naresh B. Tolani, Brian Tom, Shidong Tong, Ebrahim Torangan, Martin Tornai, Diana Tovmasian, Trung Tran, Bryan Traughber, Samuel Trichter, Sugata Tripathi, Petra Trnkova, Panagiotis Tsiamas, Ryan Tsiao, Haifeng Tu, Philip N Tubiolo, Jeff D. Turley, Adam Turner, PhD, DABR, Conner Ubert, Chibueze Zimuzo Uche, Vincent M. Ulizio, Gnanaprakasam Vadivelu, Hema Vaithianathan, Sunil Valaparla, Fabiola Vallejo Castañeda, Liesbeth Vancoillie, Matt Vanderhoek, Caroline Vanderstraeten, Nancy J. Vazquez, Linda A. Veldkamp, Trevor L. Vent, Anthony M. Ventura, Keith Ver Steeg, Irina Vergalasova, CHENG WANG, Christopher Waite-Jones, Matthew C. Walb, Reuben Waldron, Arlie Vester Walker, Jim Walsh, Alisa I. Walz-Flannigan, Cheng Wang, Helen H. Wang, Hui-Chuan Wang, Jiali Wang, Jian-xiong Wang, Kai Wang, Kyle Wang, Ning Wang, Yuntao Wang, Zhendong Wang, Zhixing Wang, Grace Ward, Sarah M. Way, Rachel L. Waymire, Melvin Weatherly, Charles Travis Webb, Lincoln J. Webb, Jia Wei, Wenbo Wei, Callie Weiant, Miriam S. Weiser, Eric M. Welch, Jered R Wells, Michelle C. Wells, S. Brock Westlund, Gerald A. White, John White, Darunee S. Whitt, David Wikler, Austin Wilkinson, Carly D. Williams, Mark Bennett Williams, Joshua M. Wilson, Keli C. Wilson, Nicholai Wingreen, Joseph Wishart, Alon Witztum, Katherine M. Woch Naheedy, Andy Wolf, Serkalem E. Wondimgezhu, Genevieve N. Wu, Wenhao Wu, Ye Wu, Yuxiang Xing, Li Xiong, Weijun Xiong, Xunyi Xu, Yan Xu, Tianyou Xue, Yanjie Xue, Girijesh K. Yadava, Derek Z. Yaldo, Kaiguo Yan, Yue Yan, Nathan E. Yanasak, Bowen Yang, Ray Yang, Xiaocheng Yang, Yun Yang, Yunze Yang, Bin Yao, Yuan (John) Yao, Anna N Yaroslavsky, Feng-Ju Yeh, Susanne Yerich, Michael V. Yester, Xiaofei Ying, Tekeste Yohannis, Tony Younes, Eyesha Younus, Jialu Yu, Justin Yu, Yan Yu, Pui Kuen Yuen, Joshua P. Yung, Steve Yuvan, Mehran Miron Zaini, Ramtin Zakikhani, Lee Anne Zarger, Merissa Zeman, Lisa Zent, Di Zhang, Dongqing Zhang, Hao Zhang, Jun Zhang, Lei Zhang, Lu Zhang, Maochen Zhang, Peng Zhang, Peng Zhang, Qingyun Zhang, Xin Zhang, Yi Zhang, Yinghui Zhang, Yongbin Zhang, Zhongwei Zhang, Bo Zhao, Xuandong Zhao, Yizhou Zhao, Weiping Zheng, Yi Zheng, Troy Zhou, Xiangzhi Zhou, Xiaohong Joe Zhou, Yuwei Zhou, Jin Zhu, Mingyao Zhu, Eric C. Zickgraf, John R. Zullo, Piotr Zygmanski, Leo van Battum

Affiliation: DTC Consultants, NL Health, Dartmouth Hitchcock Medical Center, ProCure Proton Therapy Center, Medical & Radiation Physics, Inc, Augusta University, Genesis Healthcare Partners, Michigan Medicine, Washington DC VA Medical Center, VA Medical Center, Mercy Southeast Hospital, Food And Drug Administration, University of Iowa, Advanced Radiation Physics Service, Inc, University of Pittsburgh, University of Wisconsin, Wellspan Health, Good Samaritan Hospital, Howard University Hospital, St. Mary's Memorial Health Center, Penn State Milton S. Hershey Med Ctr., New York Weill Cornell Medical Ctr, X-Ray Computations, Inc., US Navy, Penn State Health, Kelsey Seybold Clinic, Advocate Aurora, Fresno Cancer Center, Central Alabama Radiation Oncology, Riverside Methodist Hospital Ohio Health, Alliance Medical Physics, OCSRI, AAPM, University of Minnesota, University of Virginia Health System, PGIMER, Barrigel, Johns Hopkins Univ, Appex Physics Partners, BoxElder Research, University of Oklahoma Health Sciences Center, Sanford Roger Maris Cancer Center, Berkshire Medical Center, New York Weill Cornell Medicine, Mobimed Technologies, University of Chicago Medicine, Johns Hopkins Medicine, Maimonides Medical Center, Nuvance Health - Vassar Brothers, Crozer Keystone Health System, Karmanos/McLaren, Vanderbilt University, Panhandle Cancer Care Center, The University of Michigan, Piedmont Healthcare, Gamma Medical Physics LLC, Mississippi Baptist Medical Center, Astarita Associates Inc, Landauer Medical Physics, RPS Oncology, Zhejiang University, University of North Carolina School of Medicine, University of Kentucky HealthCare, Peninsula Regional Medical Center, Varian Advanced Oncology Solutions, New York Proton Center, Wake Forest University Medical Center, Rutgers Robert Wood Johnson Medical School, Tx Oncology, Lewis Hall Singletary Oncology Center (John D. Archbold Hospital), Medical Physics Services, University of New Mexico, UPMC Cancer Center, Medical Physics Solutions, LLC, ECU Health, Evercare Hospital Chattogram, Mercy Cancer Center, Sharp Grossmont Hospital, West Virginia University, Virginia Commonwealth University Medical Center, Thomas Jefferson University, Centennial Medical Physics, LLC, University of California, Davis, University of Miami, Varian, Inc., UAB Medical Center, Wellspan health, Cleveland Clinic Foundation, Procure Treatment Center, Retired FDA, Tufts Medical Center, Virginia Commonwealth University, Germantown Academy, Hartford Hospital, Cleveland Clinic Florida, Billings Clinic, Imalogix, University of Wisconsin - Madison, Dana Farber Cancer Institute, Massachusetts General Hospital, Johns Hopkins University, GenensisCare, VARIAN Siemens Healthineers, MedStar Washington Hospital, Illawarra Cancer Care Center, Duke Health, Corewell Health, Columbia University, Johns Hopkins, Baylor Scott & White Health, Ascension Saint Thomas Rutherford Hospital, Varian, a Siemens Healthineers company, Rabin Medical Center, Albany - Stratton VA, Florida Cancer Specialists at Tampa Cancer Center, Baylor St Lukes Medical Center, Baylor College of Medicine, Christiana Care Health System, West Physics, Mayo Clinic Arizona, Emory University, University of Pittsburgh Medical Center, Brigham and Women's Hospital, UCLA, CoxHealth, Starsino Medical Technologies Co Ltd, University of Utah Hospitals, Lahey Health Medical Center, Paul Scherrer Institute (PSI), Karmanos Cancer Institute, Radcom Associates, LLC, Ascension Wisconsin, The University of Alabama at Birmingham, Winter Park Cancer Center, Louisiana State University, UT Health San Antonio, Intermountain Health, Penn Medicine/Lancaster General Health, Elekta Xoft, University of KY HealthCare, Rutgers, Cancer Institute of New Jersey, Real Time Tomography LLC, Toronto Metropolitan University, UCSD, Dartmouth College, Ascension St. Thomas Rutherford hospital, City of Hope, Radiation Management Associates, Levine Cancer Institute, Atrium Health, Varian Medical Systems, Blount Memorial Hospital, Penn State University, Therapy Physics, Inc., Northwest Community Hospital, Duke University Medical Center, Advent Health, Miami Cancer Institute, Washington State Department of Health, Lantheus Medical Imaging, Chesapeake Potomac Regional Cancer Center, MRP Inc., University of Chicago, University of Tennessee Medical Center, Huntsman Cancer Institude, University of Utah, Oregon Health and Science University, Hutchinson Regional Medical Center, Winchester Medical Center, WellSpring Oncology, Medical School of East Carolina Univ, Weill Cornell Medical Center, UPMC Hillman Cancer Centers, Springfield Clinic, CaliberMRI, Inc., Prisma Health, Helen F. Graham Cancer Center, ChristianaCare, Upstate Medical Physics, PC, Loma Linda University Medical Center, Radpocket LLC, RayzeBio, St. Peter's Health Partners, MJS Medical Physics Inc., UCHealth, Astarita Associates, Image X Institute, School of Health Sciences, University of Sydney, Oregon Urology Institute, Seoul National University Hospital, GenesisCare, Reid Health, National Institutes of Health (NIH), Bayhealth Medical Center, Albany Medical College, Advocate Radiation Oncology, Rush, Krueger-Gilbert Health Physics, Sentara Healthcare, Accuray Incorporated, CTSI, RTI Group North America, University of Louisville, Thomas Jefferson University Hospital, NCI, West Physics Consulting, LLC, Boston Children’s Hospital, CHOP, Greater Baltimore Medical Center, Florida Cancer Specialist & Research Institute, Radformation, Texas Oncology South Austin Cancer Center, Mosaic Life Care Cancer Center, University of Virginia, CPDS, Ravenel Oncology Center, M Health Fairview, Torrance Memorial Medical Center, RJK Medical Physics, Inc., NYU Langone-Long Island, Trinity CancerCare Center, Bryn Mawr Hospital, Sanford Health, University of Michigan Health Systems, One Physics - Ohio Medical Physics Consulting, West Michigan Cancer Center, University Hospitals Cleveland Medical Center, Levine Cancer Institute/Atrium Health, Advanced Biophotonics Laboratory, University of Massachusetts Lowell, UConn Health, U.S. Nuclear Regulatory Commission, Wayne State University, University of Oklahoma Health Science Center, Houston Methodist Hospital, Varian, Arizona Center for Cancer Care, NIH Clinical Center, Stanford University, Hospital of the University of Pennsylvania, Peel Regional Cancer Center, Credit Valley Hospital, University of Alabama Birmingham, Lark Physics, Ackerman Cancer Center, Southern District Health Board, Milestone Medical Physics Group, UTHealth Houston McGovern Medical School, Rutgers University, West County Radiological Group, Mayo Clinic, Philips Healthcare, University of Vermont Medical Center, Novant Health at Presbyterian Medical Center, Harvard Medical School, Ratio Therapeutics, Naval Medical Center Portsmouth, University Colorado Denver, School of Medicine, Sutter Santa Cruz Radiation Oncology, Radiophysics Associates, Northside Hospital, SolutionHealth, University of Virginia Health Systems, Johns Hopkins School of Medicine, Austin Health, UPMC, St. Joseph Mercy Health System, Cancer Center of Hawaii, Centra Health, Aspekt Solutions, Winter Haven Hospital, Henry Ford Hospital System, Medical University of South Carolina, Maine Medical Center, Phoenixville Hospital, National Institutes of Health, Associated Medical Professionals, Gundersen Health System, St. Luke's University Health Network, Univesity of Victoria, Department of Radiation Oncology, Stanford University School of Medicine, Washington University in St. Louis, Queen's Medical Center, West O'ahu, Canon Medical Research USA, Inc., Robert Wood Johnson University Hospital, UVA Health System, Section for Biomedical Physics, Department of Radiation Oncology, University Hospital and Medical Faculty, Eberhard Karls University TĂŒbingen, Centennial Medical Physics, McLaren Cancer Institute, Cancer Care Group, Texas Oncology-Tyler, CTSI Oncology Practice Solutions, a varian company, Bank of Cyprus Oncology Centre, Columbus Regional Hospital, Central Florida Cancer Insititute, Texas Oncology - San Antonio, The Ohio State University, Stony Brook University, Greenwich Hospital, INOVA Schar Cancer Institute, Marsden Medical Physics Associates, Allegheny Health Network, Geisinger Health System, University of Maryland Medical System, Texas Oncology, Mount Sinai Medical Center, TrueNorth Medical Physics, Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, Houston Methodist Hospital, Houston, TX, Martin Memorial Medical Center, Yale University School of Medicine, Comprehensive Cancer Centers of Nevada, ASR Institute for Cancer Care, Research & Rehabilitation, University of Louisville Brown Cancer Center, Jaeger Corporation, UC San Francisco, Inova Hospital at Fairfax, Upstate Medical Physics, Cedars-Sinai Medical Center, Brown University Health, Texas Oncology-Denton, Assarian Cancer Center, HCA Healthcare, San Diego State University, Cooper University HealthCare, LVeldkamp MedPhys Services, LLC, Morristown Medical Center, Atlantic Health System, OMPC Therapy, LLC & OMPC Diagnostic, LLC, Defense Health Agency, Radiation Oncology, Medical College of Wisconsin, UT Southwestern Medical Center, Kaiser Permanente Bellflower Medical Center, Roswell Park Comprehensive Cancer Center, University of Victoria, MD Anderson Cancer Center at Cooper, Siemens Healthineers, Monmouth Medical Center, Memorial Sloan Kettering Cancer Center, Ironwood Cancer & Research Centers, University of Cincinnati, School of Medical Sciences, Fujita Health University, University of Kentucky/UK HealthCare, University of California, San Francisco, Instituto Nacional do Cancer, Brazil, IBA Dosimetry GmbH, Westchester Medical Center, Ohio State Univ, Houston Methodist, Medical College of Wisconsin, Columbia University Medical Center, Department of Radiation Oncology, College of Medicine, University of Arkansas for Medical Sciences, UT MD Anderson Cancer Center, DFCI/BWCC south shore, Providence Cancer Center, Memorial Sloan-Kettering Cancer Center, American Association of Physicists in Medicine, Lynn Cancer Institute - Radiation Oncology, Renown Health, Purdue Univ, Beth Israel Deaconess Medical Center, Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Holy Family Hospital, OhioHealth, IBA Dosimetry, Memorial Hospital Gulfport, University of Florida, George Washington Univ, University of Cincinnati Medical Center, Hubbard, Zickgraf, & Broadbent, Accuray Inc, UVRMC, MIM Software, Massachusetts General Hospital and Harvard Medical School, Mem. Sloan Kettering Cancer Ctr, UF Health Proton Therapy Institute, California Medical Physics, Inc., Henry Ford Health, UPMC Hillman Cancer Center, Vanderbilt University School of Medicine, Saddleback Memorial Medical Center, Stony Brook University Medical Center, University of Pennslyvania, TOP Physics Consulting, Nuvance/Norwalk Hospital, Oregon Health & Science Univ, Brigham & Women's Hospital, University of Pennsylvania, McLaren – Greater Lansing, American Board of Radiology, Penn Medicine | Virtua Radiation Oncology, University of Tennessee, OneOncology, University of Colorado, Indiana University Medical Center, Stronach Regional Cancer Centre, Yale New Haven Health, Vanderbilt University Medical Center, Emory Healthcare / Winship Cancer Institute, Cape Fear Valley Radiation Oncology, Northwell Health, Sutter Health, Virginia Mason Medical Center, MUSC Health- Florence Medical Center, Departement of Radiation Oncology, Curie Institute, Paris, University of Michigan, MD Anderson Cancer Center, University of Alabama at Birmingham, Radiology Inc., Cedars Sinai Hospital, Roswell Park Cancer Institute, Duke University Health System, VA Hospital, DVA Medical Ctr., JFK Medical Center, Mount Sinai West, National Cancer Institute, Chung Nam National University Sejong Hospital, Indiana Univesity, AdventHealth Daytona Beach, Orlando Health, Clinical Research Institute HUS, Northwest Medical Physics Center, University of Pennsylvania, Penn Medicine, Kettering Health Network, Children's Mercy Kansas City, IBA, UMass Memorial Hospital, US Oncology, Kaiser Permanente Southern California Medical Group, The Queen's Health System, NewYork-Presbyterian, Miami Valley Hospital, Karlsruhe Institute of Technology, Piedmont Hospital, Accuray Inc., VARIAN - Advanced Oncology Solutions, GE Healthcare, Virtua Health, Northwestern Medicine Chicago Proton Center, CARO/Montgomery Cancer Center, Walter Reed National Military Medical Center, InterMountain Health Care, Englewood Hospital and Medical Center, Henry Ford Health System, Fluke Health Solutions, Texas Oncology, PA, Inova Alexandria Hospital, New Milford Hospital, Fox Chase Cancer Center, Radiation Therapy and Cancer Inst, Penn State College of Medicine, University of California San Francisco, Unity of Oncologic Therapy S.A., Canon Medical Systems USA, Kaiser Permanente, Baptist Health Paducah, Salina Regional Health, Centre d'Oncologie de la Cote Basque, Minneapolis Radiation Oncology, Coastal Carolina Radiation Oncology, Saint Francis Hospital, Advocate Christ Medical Ctr, Universidad de Costa Rica, CAMP, Blessing Hospital, Texas Oncology Cancer Ctr, CommonSpirit Health, Navy Medical Forces Atlantic, Regions Hospital, Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Methodist Hospital, Champlain Valley Physicians Hospital, Mayo Clinic Jacksonville, OHSU, Promedica Health System, Arthur JE Child Comprehensive Cancer Centre, Rhode Island Hospital / Warren Alpert Medical, UPMC Pinnacle Health, Vassar Brothers Hospital, McLeod Regional Medical Center, RJ Tokarz MIRS, St. Francis Hospital, Astarita Associates, Inc., UC Davis Medical Center, Mount Nittany Medical Center, Covenant Radiation Center, National Institute of Standards and Technology, AdventHealth Orlando, St Helena Hospital, Icon Cancer Centre, University of Washington, Indiana University, TrueNorth Medical Physics LLC, Medstar Georgetown University Hospital, Harold Alfond Center for Cancer Care, MN Oncology, Jupiter Medical Center, GE HealthCare, Rochester General Hospital, Piedmont Health, Atrium Health, Minneapolis VA Health Care System, CentraCare Health System, OMPC Diagnostic LLC, Evergreen Health Medical Center, CAMC Cancer Center - Beckley, University of Kansas Medical Center, Avera McKennan, Cleveland Clinic, Louisiana Tech University

Abstract Preview: N/A...

Navigating the Challenges of Telehealth in Radiation Oncology: Risks, Mitigation Strategies, and Future Directions

Authors: Ara Alexandrian, Panayiotis Mavroidis, Sotirios Stathakis

Affiliation: Mary Bird Perkins Cancer Center, University of North Carolina

Abstract Preview: Purpose: Telehealth has transformed healthcare delivery by improving accessibility and convenience for patients and providers. In radiation oncology, telehealth supports consultations, follow-ups, and...

Needle-in-Needle Technique: A Lifeline for HDR Syed Interstitial Implants with Unusable Catheters

Authors: Jochen Cammin, Yushi Chang, Mariana Guerrero, Kai Jiang, Narottam Lamichhane, Elizabeth Nichols

Affiliation: Department of Radiation Oncology, UT Southwestern Medical Center, University of Maryland School of Medicine, Department of Radiation Oncology, University of Maryland School of Medicine

Abstract Preview: Purpose: Our institution handles a large GYN SYED patient load (5 HDR fractions over 3 days). In recent years, we faced many logistical challenges, such as broken/contaminated catheters, which disrupt...

Novel 915 MHz Annular Phased Array Applicator for Hyperthermia Treatment of Brain Lesions

Authors: Jason Ellsworth, Mark Mishra, Jason K Molitoris, Lei Ren, Dario B. Rodrigues, Paul Turner, Graeme Woodworth

Affiliation: University of Maryland School of Medicine, Department of Neurosurgery, University of Maryland School of Medicine, University of Maryland, Department of Radiation Oncology, University of Maryland School of Medicine, Pyrexar Medical

Abstract Preview: Purpose: Hyperthermia therapy (HT) involves increasing tumor temperatures to 40-44°C and is a potent radio- and chemosensitizer for treating solid tumors. Current clinical strategies to heat deep-seat...

Oncoseed: Automated Workflow Generation for Pre-or and or-Plan Comparison in Prostate Seed Implants

Authors: Jaehee Chun, Jin Sung Kim, Siddhant Sen, James J. Sohn, Ethan D. Stolen

Affiliation: Department of Radiation & Cellular Oncology, University of Chicago, Department of Radiation and Cellular Oncology, University of Chicago, Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Department of Psychology, University of Illinois Urbana-Champaign, Oncosoft Inc

Abstract Preview: Purpose: In LDR brachytherapy for prostate cancer, anatomical changes between pre-planning and implantation require adjustment of needle and seed configurations. Currently, clinics spend significant t...

One Year Experience of Biology-Guided Radiotherapy (BgRT) on PET-Linac in an Academic Center

Authors: Shahed Badiyan, Girish Bal, Thomas I. Banks, Bin Cai, Tu Dan, Aurelie Garant, Andrew R. Godley, Steve Jiang, Orhan Oz, Arnold Pompos, Rameshwar Prasad, Chenyang Shen, David Sher, Robert Timmerman, Kenneth Westover

Affiliation: Department of Radiation Oncology, UT Southwestern Medical Center, University of Texas Southwestern Medical Center, UT Southwestern Medical Center, RefleXion Medical

Abstract Preview: Purpose: Biology-guided radiotherapy (BgRT) is a novel FDA-cleared technology for treating lung and bone tumors based on 18F-FDG PET uptake. This study summarizes the first-year experience treating 29...

Optimizing Minimum Monitor Unit Thresholds for Proton Breast Therapy on the Iba Proteusone

Authors: Chia-Lung Chien, Wen C. Hsi, Faraz Kalantari, Pouya Sabouri, Man Yam

Affiliation: Department of Radiation Oncology, University of Arkansas for Medical Sciences (UAMS)

Abstract Preview: Purpose:
Reducing treatment delivery time is critical to improving patient throughput and minimizing the risk of intrafraction motion, which can compromise treatment accuracy. This study identifies...

Optimizing Motion Profiles of a Dynamic Collimator in Proton Therapy

Authors: Simona Cacciatore, Albert Du, Ryan T. Flynn, Alonso N. Gutierrez, Patrick M Hill, Daniel E. Hyer, Eric Jensen, Kaustubh A. Patwardhan, Julien Smeets, Blake R. Smith, Nhan Vu, Karsten K. Wake

Affiliation: University of Wisconsin, Miami Cancer Institute, Baptist Health South Florida, Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, Ion Beam Applications (IBA), University of Iowa, Iowa Health Care

Abstract Preview: Purpose: To evaluate time reduction strategies for the Dynamic Collimation System (DCS) using an IBA (Louvain-la-Neuve, Belgium) proton therapy system. Delivery time for a multi-energy-layer patient s...

Optimizing Quality Assurance CT Frequency and Setup Uncertainty in Brain Proton Therapy Patients for Reduced Normal Tissue Dose

Authors: Rachel B. Ger, Heng Li, Anh Tran

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Johns Hopkins University

Abstract Preview: Purpose: Proton therapy patients undergo quality assurance CT scans (QACTs) during treatment to verify dosimetric accuracy and utilize robustness scenarios for setup and range uncertainties. For intra...

PET Imaging and Novel Cardiac Radiomics to Predict Pre-Radiotherapy Cardiac Conditions for Lung Cancer Patients Undergoing Radiotherapy.

Authors: Wookjin Choi, Michael Dichmann, Adam Dicker, Nilanjan Haldar, Yingcui Jia, Nicole L Simone, Eugene Storozynsky, Yevgeniy Vinogradskiy, Maria Werner-Wasik

Affiliation: Thomas Jefferson University, 9Department of Radiation Oncology, Thomas Jefferson University

Abstract Preview: Purpose: Cardiotoxicity remains a significant limitation for lung cancer patients treated with radiotherapy. Pre-radiotherapy cardiac conditions increase the probability of patients developing cardiot...

Parameterized 4D Deformable Registration (p4Dreg) in Abdominal 4DCT Scans

Authors: Edward Robert Criscuolo, Deshan Yang

Affiliation: Duke University, Department of Radiation Oncology, Duke University

Abstract Preview: Purpose:
Deformable registration of 4DCT images has many clinical applications, but current methods are unreliable and can produce dangerous errors. Iterative, parametrized image registration does ...

Patient-Specific Coronary Artery Habitat Model for Enhanced Cardiac Sparing

Authors: Blessing Akinro, Soumyanil Banerjee, Ming Dong, Carri K. Glide-Hurst, Prashant Nagpal, Chase Ruff, Nicholas R. Summerfield, Timothy P. Szczykutowicz

Affiliation: Departments of Human Oncology and Medical Physics, University of Wisconsin-Madison, Departments of Radiology and Medical Physics, University Wisconsin-Madison, Department of Radiology, University of Wisconsin-Madison, Department of Computer Science, Wayne State University, Department of Human Oncology

Abstract Preview: Purpose: Radiation dose to coronary arteries (CAs) during thoracic radiotherapy (RT) is linked to cardiotoxicity. However, precise CA delineation for avoidance is limited by image quality and CA compl...

Photon-Proton Treatment Compatible Couch Tops Render Modality-Dependent Support Structure Models

Authors: Estelle Batin, Michael A. Carlson, Nilendu Gupta, Zachary X. Richards, Diana Shvydka

Affiliation: Department of Radiation Oncology, The Ohio State University Wexner Medical Center

Abstract Preview: Purpose: With an increase in world-wide proton treatment availability, patients sometimes are transferred between proton and photon modalities. Among the main reasons for modality shifts are proton be...

Plan Optimization Parameter Impact on Gamma Pass Rates

Authors: Parham Alaei, Timothy J Allen, Tomas Agustin Montenegro

Affiliation: University of Minnesota, Department of Radiation Oncology, University of Minnesota, Minneapolis

Abstract Preview: Purpose:
To assess possible relationships between treatment plan optimization parameters and gamma pass rates in quality assurance (QA) analysis of IMRT/VMAT plans.
Methods:
Plan optimization...

Precision Radiotherapy Dose Prediction Using Foundation Model-Augmented Learning

Authors: Hilary P Bagshaw, Mark K Buyyounouski, Xianjin Dai, PhD, Praveenbalaji Rajendran, Lei Xing, Yong Yang

Affiliation: Department of Radiation Oncology, Stanford University, Massachusetts General Hospital, Harvard Medical School

Abstract Preview: Purpose: Artificial intelligence (AI)-driven methods have transformed dose prediction, streamlining the automation of radiotherapy treatment planning. However, traditional approaches depend exclusivel...

Prediction of Metastasis-Free Survival in Patients with Prostate Adenocarcinoma Using Primary Tumor and Lymph Node Radiomics from Pre-Treatment PSMA PET/CT Scans.

Authors: Ozan Cem Guler, William Silva Mendes, Sangbo Oh, Cem Onal, Lei Ren, Apurva Singh, Phuoc Tran

Affiliation: University of Maryland School of Medicine, Baskent University Faculty of Medicine, Department of Radiation Oncology, Department of Radiation Oncology, University of Maryland School of Medicine

Abstract Preview: Purpose: To predict metastasis-free survival (MFS) for patients with prostate adenocarcinoma treated with androgen deprivation therapy and external radiotherapy using clinical factors and radiomics ex...

Presurgical Treatment Planning for Gammatile Implants

Authors: Timothy J Allen, Clara Ferreira

Affiliation: University of Minnesota, Department of Radiation Oncology, University of Minnesota, Minneapolis

Abstract Preview: Purpose: Presurgical treatment planning for GammaTile cranial implants is limited to estimates of required tiles and provides no positioning information. Existing tools are intended for tile estimatio...

Protocol for In Vivo Dosimetry Using Myoslchip System: Characterization and Clinical Application

Authors: Jeremy S. Bredfeldt, Daniel W. Cail, Maria A. Czerminska, Cindy I. Hancox, David Hu, Benjamin Karasko, Claire Keun Sun Park

Affiliation: Department of Radiation Oncology, Brigham and Women's Hospital, Harvard Medical School, Brigham and Women's Hospital, Brigham and Women’s Hospital and Dana Farber Cancer Institute, Harvard Medical School

Abstract Preview: Purpose: To develop a robust clinical protocol for in vivo dosimetry in radiotherapy using the myOSLchip Optically Stimulated Luminescent Dosimeter (OSLD) system by performing characterization and eva...

Proton Pencil Beam Scanning Ultra-High Dose Rate 3D Lattice Radiotherapy: A Proof-of-Concept Flash Sfrt Study

Authors: Richard Bakst, Arpit M. Chhabra, J Isabelle Choi, Chanda Guha, Minglei Kang, Nancy Y Lee, Haibo Lin, Hang Qi, Charles B. Simone, Pingfang Tsai, Milo Vermeulen, Shouyi Wei, Xiaodong Wu, Lee Xu, Irini Yacoub, Xingyi Zhao, Ajay Zheng

Affiliation: University of Miami, Peking University, New York Proton Center, Montefiore Medical Center and Albert Einstein College of Medicine, icahn school of medicine at mount sinai, Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, Department of Human Oncology, University of Wisconsin-Madison

Abstract Preview: Purpose:
Three-dimensional lattice radiation therapy (3D-LRT) effectively achieves local tumor control with limited morbidity. Pencil beam scanning (PBS) proton therapy provides precise dose confor...

Proton Vs Photon Therapy for Stereotactic Arrhythmia Radioablation of Ventricular Tachycardia

Authors: Chih-Wei Chang, Kristin A Higgins, Xiaojun Jiang, Pretesh Patel, Justin R. Roper, Keyur Shah, Sibo Tian, Zhen Tian, Yinan Wang, Xiaofeng Yang, Jun Zhou

Affiliation: Department of Radiation Oncology, City of Hope Cancer Center Atlanta, Emory University, University of Chicago, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose: Ventricular tachycardia (VT) is a life-threatening arrhythmia commonly treated with catheter ablation; however, some cases remain refractory to conventional treatment. Stereotactic arrhythmia...

QA Your QA:3 Steps to Ensure a Robust QA Review Workflow.

Authors: Shahid B. Awan, Harold Li, Aba Lippuner

Affiliation: Department of Radiation Oncology, University of Kansas Medical Center

Abstract Preview: Purpose: QA review is a necessary component of QA management but is often pushed aside owing to time constraints and overreliance on vendor solutions. At our multicenter institution, we designed a 3-s...

Quantifying Cervical Cancer Radiotherapy Care Gap in Uganda: Baseline Assessment Prior to Implementation of a Custom Mobile Health App.

Authors: Eric C. Ford, Awusi Kavuma, Solomon Kibudde, Lilie Lin, Apollo Muramuzi, Nibedita Paul, Peniel T Twum, Afua A. Yorke

Affiliation: Uganda Cancer Institute, MD Anderson Cancer Center, University of Washington, Department of Radiation Oncology, Fred Hutchinson Cancer Center, University of Washington, University of Nebraska, Global Communities

Abstract Preview: Purpose: Sub-Saharan Africa accounts for over one-third of global cervical cancer deaths, despite representing only 14% of the world’s female population. At the only RT center in Uganda, prior studies...

Quantifying Respiratory Motion Effects in Lung Cancer Radiotherapy Using 4DCT Voxel Analysis

Authors: Chih-Chiang Chang, Chingyun Cheng, Ben Durkee, Minglei Kang, Elissa Khoudary, Yangguang Ma, Xuanqin Mou, YuFei Wang, Tengda Zhang, Wang Zhengda

Affiliation: Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, Department of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, School of Software Engineering, Xi’an Jiaotong University, School of information and communications engineering, Faculty of electronic and information engineering, Xi’an Jiaotong University, Department of Medical Physics, Columbia University, University of Pennsylvania, Department of Human Oncology, University of Wisconsin-Madison

Abstract Preview: Purpose: This study presents a voxel-based analysis method based on deformable image registration to accurately quantify respiratory-induced motion and deformation of both targets and organs at risk (...

Quantitative Analysis of Dose Perturbation from Gantry Rotational Errors in Dynamic Spot-Scanning Proton Arc Therapy (SPArc)

Authors: Xiaoda Cong, Xuanfeng Ding, Gang Liu, Peilin Liu, Lewei Zhao

Affiliation: Department of Radiation Oncology, Stanford University, Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Corewellhealth William Beaumont University Hospital

Abstract Preview: Purpose:
This study investigates the dosimetric impact of systematic and random gantry position errors (GPE) during dynamic Spot-Scanning Proton Arc Therapy (SPArc) delivery.
Methods:
Four ca...

Quantitative Fluorescence Imaging and Spatial Transcriptomics Reveal Compartment-Specific Immune Dynamics in HPV+ Oropharyngeal Cancer

Authors: Casey C. Heirman, Kyle J. Lafata, Xiang Li, Breylon Riley, Jack B Stevens, Tammara Watts

Affiliation: Duke University, Department of Radiation Oncology, Duke University

Abstract Preview: Purpose: To leverage quantitative fluorescence imaging and spatial transcriptomics for characterizing the spatial and molecular heterogeneity of the tumor microenvironment (TME) in HPV+ head and neck ...

Quantum-Inspired Genetic Optimization Tailored for Patient Scheduling in Radiation Oncology

Authors: Arezoo Modiri, Robabeh Rahimi, Akira SaiToh, Amit Sawant

Affiliation: Maryland University Baltimore, University of Maryland, University of Maryland in Baltimore, Department of Computer and Information Sciences, Sojo University

Abstract Preview: Purpose: It has been a longstanding challenge to optimize the daily schedule of radiation treatment rooms toward minimum patient wait times, efficient use of clinical staff and reduced running cost of...

Radiation Oncology Case Rate Model

Authors: Anne Hubbard

Affiliation: ASTRO

Abstract Preview: N/A...

Radiochemical Monte Carlo Model to Investigate the Oxygen Impacts on Radical Yields Under Proton Flash Irradiation

Authors: Yao Hao, Yuting Peng, Francisco Javier Reynoso, Tianyu Zhao, Xiandong Zhao

Affiliation: Varian, University of South Florida, Washington University School of Medicine, Washington University School of Medicine, Department of Radiation Oncology

Abstract Preview: Purpose: Ultra-high dose-rate (FLASH) dose rate (> 40 Gy/s) may result in a radio-protective effect in healthy tissue compared with conventional dose rate (CDR). This effect has been observed in vivo ...

Radiopathomic Characterization of Chemoradiation Resistance in Preclinical Models of Head and Neck Cancer

Authors: Rico Castillo, Katherine Gonzalez, Casey C. Heirman, Kyle J. Lafata, Xiang Li, Yvonne M Mowery, Yvonne M Mowery, Allison Pittman, Ashlyn G. Rickard, Breylon Riley

Affiliation: Duke University, Department of Radiation Oncology, Duke University, University of Pittsburgh

Abstract Preview: Purpose: To evaluate the relationships between quantitative imaging biomarkers and chemoradiation resistance in head and neck squamous cell carcinoma (HNSCC) using preclinical mouse models.

Met...

Ratoguide: Evaluation of AI-Driven Fully Automated Treatment Planning Support System for Lung SBRT

Authors: Keiichi Jingu, Noriyuki Kadoya, Takafumi Komiyama, Takeru Nakajima, Hikaru Nemoto, Hiroshi Onishi, Masahide Saito, Ryota Tozuka

Affiliation: Department of Radiology, University of Yamanashi, Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Department of Advanced Biomedical Imaging, University of Yamanashi

Abstract Preview: Purpose: We evaluated the accuracy of a new AI-based fully automated planning software in stereotactic body radiotherapy (SBRT) for early-stage lung cancer.
Methods: We collected data from 125 pati...

Re-Structuring of Clinical Education within a Therapy Medical Physics Residency Program

Authors: Kristofer K. Kainz, Eenas A. Omari, Eric S. Paulson

Affiliation: Department of Radiation Oncology, Medical College of Wisconsin

Abstract Preview: Purpose: We present our therapy physics residency program’s revisions to its training structure, with the goals of more efficient clinical education and preservation of the residency’s clinical suppor...

Real-Time 3D Dose Verification for MR-Guided Online Adaptive Radiotherapy (ART) Via Geometry-Encoded Deep Learning Framework

Authors: Steve B. Jiang, Dan Nguyen, Chenyang Shen, Fan-Chi F. Su, Jiacheng Xie, Shunyu Yan, Daniel Yang, Ying Zhang, You Zhang

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Lab & Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, The University of Texas at Dallas

Abstract Preview: Purpose: Fast dose verification is essential for the safety and efficiency of MR-guided adaptive radiotherapy (ART) as patients anxiously waiting on the treatment couch. Conventional tools often requi...

Real-Time Fully Automated IMRT Planning without Optimization Process Using a Two-Step AI Framework

Authors: Daisuke Kawahara, Takaaki Matsuura, Yuji Murakami, Ryunosuke Yanagida

Affiliation: Hiroshima High-Precision Radiotherapy Cancer Center, Department of Radiation Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Department of Radiation Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima

Abstract Preview: Purpose: In recent years, automation in radiation therapy planning using AI has gained significant attention to reduce the workload of treatment planners. Adaptive Radiation Therapy (ART), as a new fo...

Recovery Factor Comparisons for Reirradiation Overlapping the Spinal Cord

Authors: Xinxin Deng, Issam M. El Naqa, Jimm Grimm, Lijun Ma, Vitali Moiseenko, Timothy E. Schultheiss, Gopal Subedi, Wolfgang A. Tomé, Ellen D. Yorke, Albert van der Kogel

Affiliation: Montefiore Medical Center, Wellstar Kennestone Hospital Cancer Center, H. Lee Moffitt Cancer Center, Department of Human Oncology, University of Wisconsin–Madison, Department of Radiation Oncology, Wellstar Health System, Radiation Oncology, Keck School of Medicine of USC, Georgia Institute of Technology, University of California San Diego, City Of Hope National Medical Centre, Memorial Sloan Kettering Cancer Center

Abstract Preview: Purpose: Reirradiation is increasingly utilized in clinical practice but dose-time recovery factors for human subjects remain uncertain. We constructed a reirradiation recovery model for spinal cord e...

Rectal Spacer Injection on the Day of HDR Prostate Brachytherapy Enhances Dosimetry and Reduces Rectal Dose for Patients Receiving Combined Brachytherapy and EBRT.

Authors: Francis A Asamoah, David D. Campos, Jordan A Holmes, Ke Colin Huang, Omar Ishaq, Sook Kien Ng, Arpan Prabhu, Edwin Quashie, Yong Yue

Affiliation: Indiana University School of Medicine, Department of Radiation Oncology

Abstract Preview: Purpose: Evaluate a novel rectal spacer workflow with spacer injection during brachytherapy to streamline logistics, reduce hospital visits and costs, and compare the benefits of SpaceOAR Vue and Barr...

Rectangular Aperture-Based Beam Orientation Optimization for 4π Non-Coplanar Small Animal IMRT Delivery

Authors: Dante PI Capaldi, Lu Jiang, Qihui Lyu, Ke Sheng

Affiliation: Department of Radiation Oncology, University of California at San Francisco, Department of Radiation Oncology, University of California, San Francisco

Abstract Preview: Purpose:
Preclinical small animal studies help understand radiation-induced biological responses, toxicities, and mechanisms, facilitating the translation of new therapies to patient treatment. Int...

Refined Nnu-Net Training for Practice-Specific Autosegmentation of APBI Targets

Authors: Daniel A. Alexander, Jonathan Baron, Brook Kennedy Byrd, William Ross Green, Bolin Li, Rafe A. McBeth, Abigail Pepin, Steven Philbrook

Affiliation: Department of Radiation Oncology and Applied Sciences, Department of Radiation Oncology, University of Pennsylvania, Thayer School of Engineering, University of Pennsylvania

Abstract Preview: Purpose: As accelerated partial breast irradiation (APBI) gains traction, the prospect of a rapid sim-to-completion of treatment workflow is an attractive option for patients. While OAR autocontouring...

Reinforcement Learning Based Machine Parameter Optimization for Two-Arc Prostate VMAT Planning

Authors: William T. Hrinivich, Junghoon Lee, Lina Mekki

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Department of Biomedical Engineering, Johns Hopkins University, Johns Hopkins University

Abstract Preview: Purpose: Volumetric modulated arc therapy (VMAT) planning is a computationally expensive process. In this work, we propose a reinforcement learning (RL) framework to automatically optimize dose rate a...

Relative Optimized Linearization for Film Dosimetry with Non-Uniformity Correction

Authors: Piotr Pater, Nicholas G. Zacharopoulos

Affiliation: McGill University, Medical Physics Unit, Gerald Bronfman Department of Oncology, McGill University

Abstract Preview: Purpose: To develop a method for accurate relative film dosimetry that incorporates non-uniformity
corrections.
Methods: The accuracy of Devic’s [1] linearization approach was evaluated using si...

Retrospective Evaluation of Combined Photon SBRT and Radium-223 SPECT Based Radiopharmaceutical Therapy Tumor Dosimetry in Clinical Trial Patient Cases

Authors: David P. Adam, Allison Cartee, Eric C. Frey, Michael Ghaly, Bin He, Robert Francois Hobbs, Natalie Rose Kania, Ana Kiess, Ian Marsh, Bonnie N. C. President, Steven Rowe, George Sgouros, Phuoc Tran, Hao Wang

Affiliation: Johns Hopkins University, Radiopharmaceutical Imaging and Dosimetry, LLC (Rapid), 2The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins Medicine, Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Johns Hopkins Medical Institute, Department of Radiation Oncology, University of Maryland School of Medicine, Department of Oncology, Johns Hopkins University, School of Medicine, Department of Radiology, University of North Carolina, Chapel Hill

Abstract Preview: Purpose: Advanced treatment paradigms combining SPECT/CT imageable, alpha emitting, radiopharmaceutical therapy (RPT) and stereotactic body radiotherapy (SBRT) can provide the potential of dose escala...

Retrospective Postimplant Dosimetry: Comparison of Line and Point Source for 131cs Low Dose Rate Intracranial Implant Brachytherapy

Authors: Tirthraj Adhikari, Timothy J Allen, Abdullah A. Alshreef, Clara Ferreira

Affiliation: Medical School Department of Radiation Oncology University of Minnesota, University of Minnesota, Loma Linda University Medical Center

Abstract Preview: Purpose: GammaTile Brachytherapy with 131Cs is an effective treatment for glioblastomas, offering local control with minimal radiation necrosis. While the line source model is preferred for dose distr...

Robust Evaluation of Rotational Uncertainties on Single-Isocenter Multi-Target Stereotactic Radiosurgery Hyperarc Treatment

Authors: Albert Admasu, Kayla Alfonso, Maria de la Luz De Ornelas, Nesrin Dogan, Eric Mellon, Yunze Yang

Affiliation: University of Miami, Department of Radiation Oncology, University of Miami, University of Miami Sylvester Comprehensive Cancer Center

Abstract Preview: Purpose: Rotational uncertainties in single-isocenter multi-target (SIMT) stereotactic radiosurgery (SRS) HyperArc treatments can cause additional target displacement, potentially degrading overall pl...

Safety of Off-Axis Treatment for Selection of Optimal Beam Angles in SBRT of the Posteriorly Located Lung Lesions

Authors: Reza Farjam, Russell K Hales, Todd R. McNutt, Mohammad Rezaee, Ehsan Tajikmansoury, K. Ranh Voong

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Johns Hopkins University

Abstract Preview: Purpose: Optimal beam angles and off-axis isocenter selection are important to achieve high quality plan and collision-free delivery in stereotactic body radiotherapy (SBRT) of the posteriorly located...

Scissor-Beam Based Carbon Ion Minibeam Treatment Planning Method

Authors: Hao Gao, Qiang Li, Yuting Lin, Wei Wang, Wei Wu, Weijie Zhang

Affiliation: Institute of Modern Physics, Chinese Academy of Sciences, China, Department of Radiation Oncology, University of Kansas Medical Center

Abstract Preview: Purpose: Carbon minibeam radiation therapy (cMBRT) offers high peak-to-valley dose ratio (PVDR) and relative biological effectiveness. A key challenge is balancing uniform target coverage with PVDR pr...

Scoring Functions for Reinforcement Learning in Accelerated Partial Breast Irradiation Treatment Planning

Authors: Rafe A. McBeth, Kuancheng Wang, Ledi Wang

Affiliation: Department of Radiation Oncology, University of Pennsylvania, Georgia Institute of Technology, University of Pennsylvania

Abstract Preview: Purpose:
The integration of AI in clinical workflows presents unprecedented opportunities to enhance treatment quality in radiation oncology, yet it also demands innovative approaches to address th...

Simultaneous Synthesis of Lung Perfusion and Ventilation Images from CT Using a Dual-Decoder Residual Attention Network for Lung Disease Diagnosis

Authors: Li-Sheng Geng, David Huang, Haoze Li, Xi Liu, Meng Wang, Tianyu Xiong, Ruijie Yang, Weifang Zhang, Meixin Zhao

Affiliation: School of Physics, Beihang University, Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Department of Radiation Oncology, Peking University Third Hospital, Department of Nuclear Medicine, Peking University Third Hospital, Medical Physics Graduate Program, Duke Kunshan University

Abstract Preview: Purpose: This study aimed to develop a deep learning-based framework for simultaneously generating lung perfusion and ventilation images from three-dimensional computed tomography (3D CT) images.
M...

Small but Mighty: A Lightweight and Computationally Efficient Model for Deformable Image Registration

Authors: Hengjie Liu, Dan Ruan, Ke Sheng, DI Xu

Affiliation: Physics and Biology in Medicine, University of California, Los Angeles, Department of Radiation Oncology, University of California, San Francisco, Department of Radiation Oncology, University of California at San Francisco, Department of Radiation Oncology, University of California, Los Angeles

Abstract Preview: Purpose:
State-of-the-art deep learning-based deformable image registration often uses large, complex models directly adapted from computer vision tasks but achieves only comparable performance to ...

Streamlining Hippocampal-Sparing Whole-Brain VMAT Planning: Enhancing Efficiency and Plan Quality with an Automated Workflow

Authors: Eric C. Ford, Yulun He, Minsun Kim, Dustin Melancon, Juergen Meyer, Dong Joo Rhee, Yinghua Tao

Affiliation: Department of Radiation Oncology, Fred Hutchinson Cancer Center, University of Washington, MD Anderson Cancer Center, University of Washington

Abstract Preview: Purpose: To develop and evaluate an automated-planning technique capable of generating high-quality treatment plans for hippocampal-sparing-whole-brain radiation therapy.
Methods: An auto-planning ...

Streamlining Linac Mechanical QA Workflow with Javascript and Customizable PDF Templates

Authors: Sean P. Devan, Cory S. Knill, Choonik Lee, Claire Zhang

Affiliation: University of Michigan, Department of Radiation Oncology, University of Michigan

Abstract Preview: Purpose: Tools such as step-by-step instructions, checklists, and automated calculations can improve process efficiency, mitigate errors, and facilitate standardization across different users and clin...

Temporal Drift in Ir-192 Source Strength Measurements: A Braphyqs Multi-Center Analysis

Authors: Åsa K. Carlsson Tedgren, Taran Hellebust, Antonio Herreros, Jacob Johansen, Christian Kirisits, Panagiotis Papagiannis, Mark J. Rivard, Frank-Andre Siebert, Frank Verhaegen, Javier Vijande, Jan Wiersma, Marisol de Brabandere, Ruud van Leeuwen

Affiliation: UKSH, Campus Kiel, Klinik fĂŒr Strahlentherapie (Radioonkologie), Department of Oncology, The Norwegian Radium Hospital, Oslo University Hospital, Radiation Physics, Department of Medicine and Health (IMH), Linköping University, Radiation Oncology Department, Hospital ClĂ­nic-Universitat de Barcelona, IDIBAPS, IFIC-UV, Radiation Oncology, Amsterdam UMC location University of Amsterdam, Department of Radiation Oncology, Radboud University Medical Center, Department of Oncology, Aarhus University Hospital, University Hospital Gasthuisberg, Dept. of Radiation Oncology, Medical Physics Laboratory, Medical School, National and Kapodistrian University of Athens, Department of Radiation Oncology (MAASTRO), GROW – School for Oncology and Reproduction, Maastricht University Medical Centre+, Department of Radiation Oncology, Comprehensive Cancer Center, Medical University of Vienna, Warren Alpert Medical School of Brown University

Abstract Preview: Purpose: This study, which was carried out by the GEC-ESTRO BRAPHYQS working group, reports the increasing divergence between clinical reference air kerma rate (RAKR) measurements and vendor-provided ...

The Development of a Novel Biomechanical Model for Accurate Contour Deformation during Online Adaptative Metastatic Bone Cancer Radiotherapy Planning.

Authors: Jeremy S. Bredfeldt, Benito De Celis Alonso, Braian Adair Maldonado Luna, Kevin M. Moerman, Gerardo Uriel Perez Rojas, René Eduardo Rodríguez-Pérez, Kamal Singhrao

Affiliation: Department of Radiation Oncology, Brigham and Women's Hospital, Harvard Medical School, Department of Radiation Oncology, Brigham and Women's Hospital, Dana Farber Cancer Institute, Harvard Medical School, Department of Mechanical Engineering, University of Galway, Faculty of Physics and Mathematics, Benemérita Universidad Autónoma de Puebla

Abstract Preview: Purpose: Online adaptive radiotherapy replanning for single-isocenter bone cancer metastasis treatment reduces on-table treatment time and patient discomfort compared to the multi-isocenter standard-o...

The Feasibility of Ethos-Based Pulsed Reduced Dose-Rate (PRDR) Radiotherapy

Authors: Chia-Lung Chien, Renteng Hou, Wen C. Hsi, Faraz Kalantari, Ganesh Narayanasamy, Zhong Su

Affiliation: University of Arkansas for Medical Sciences, Department of Radiation Oncology, University of Arkansas for Medical Sciences (UAMS)

Abstract Preview: Purpose:
PRDR is an effective re-irradiation treatment for patients who have already reached the tolerance dose to their organs at risk (OARs). While PRDR is implemented on TrueBeam by limiting the...

The GYN Webapp: A Centralized Tool for Enhancing HDR Brachytherapy Treatment Quality and Clinical Outcomes

Authors: Kevin Albuquerque, Ti Bai, Yesenia Gonzalez, Brian A. Hrycushko, Zohaib Iqbal, Paul M. Medin, Shanshan Tang

Affiliation: Department of Radiation Oncology, UT Southwestern Medical Center

Abstract Preview: Purpose: Cervical cancer remains one of the most common and significant gynecological (GYN) malignancies globally, often presenting at advanced stages where radiation therapy and high-dose-rate (HDR) ...

Treatment Machine Matching for ELM in Eclipse v18.0 By Adjusting Physical Leaf Gap

Authors: Quyen Duong, Si Young Jang, Soyoung Lee, Samuel Ming Ho Luk

Affiliation: Boston University, Department of Radiation Oncology, University of Vermont Medical Center, Boston Medical Center

Abstract Preview: Purpose: To investigate the clinical impact of physical MLC gaps changes with Millennium 120 MLC on Enhanced Leaf Modeling (ELM) and patient plans, and to establish a new MLC model in Eclipse v18.0 on...

Tumor Density on Time-Weighted Mid-Position Images for Thoracic Tumors

Authors: Katrinus Keijnemans, Eric S. Paulson, An Tai

Affiliation: Department of Radiotherapy, University Medical Center Utrecht, Department of Radiation Oncology, Medical College of Wisconsin

Abstract Preview: Purpose: Time-weighted mid-position images (MidPs), derived from four-dimensional computed tomography (4DCT) via deformable image registration (DIR), are frequently selected for treatment planning due...

Ultrafast Proton Delivery with Pin Ridge Filters (pRFs): A Novel Approach for Motion Management in Proton Therapy

Authors: Zachary Diamond, Pretesh Patel, Sibo Tian, Yinan Wang, Xiaofeng Yang, David Yu, Ahmal Jawad Zafar, Jun Zhou

Affiliation: Emory University, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose: Active breath-hold techniques effectively mitigate respiratory motion but poses challenges for patients who are unable to tolerate the procedure. Conventional planning relies on multiple ener...

Unidose: A Universal Framework for IMRT Dose Prediction

Authors: Mingli Chen, Xuejun Gu, Hao Jiang, Mahdieh Kazemimoghadam, Weiguo Lu, Qingying Wang, Zi Yang, Kangning Zhang

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, Department of Radiation Oncology, Stanford University School of Medicine

Abstract Preview: Purpose: Dose prediction (DP) is essential in guiding radiotherapy planning. However, current DP models for intensity-modulated radiation therapy (IMRT) primarily rely on fixed-beam orientations and a...

Universal MR-to-Synthetic CT: A Streamlined Framework for MR-Only Radiotherapy Planning

Authors: Mingli Chen, Xuejun Gu, Hao Jiang, Mahdieh Kazemimoghadam, Weiguo Lu, Qingying Wang, Kangning Zhang

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, Department of Radiation Oncology, Stanford University School of Medicine

Abstract Preview: Purpose:
Converting MR images to synthetic CT (MR2sCT) is highly desirable as it streamlines the radiotherapy treatment planning workflow. This approach leverages the superior soft tissue visibilit...

Unlocking Adaptive Radiotherapy Flexibility: Integrating Ethos Adaptive Therapy and Halcyon IGRT with Scripting Innovations

Authors: Min Geon Choi, Sean J. Domal, Ruiqi Li, Taoran Li, Mu-Han Lin, Yang Kyun Park, David D.M. Parsons, Justin D. Visak

Affiliation: Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, UT Southwestern Medical Center, University of Texas Southwestern Medical Center, University of Pennsylvania, Department of Radiation Oncology, UT Southwestern Medical Center

Abstract Preview: Purpose: Ethos X-ray-guided online adaptive radiotherapy (ART) enables precise, daily adaptive treatments but requires significant resources, limiting widespread adoption. Many treatment sites do not ...

Unsupervised Task-Specific Histology Image Stain Standardization and Crypt Detection for Evaluating Normal Tissue Flash Irradiation Response

Authors: Muhammad Ramish Ashraf, Kerriann Casey, Suparna Dutt, Jie Fu, Edward Elliot Graves, Xuejun Gu, Hao Jiang, Brianna Caroline Lau, Billy W Loo, Weiguo Lu, Rakesh Manjappa, Stavros Melemenidis, Erinn Bruno Rankin, Lawrie Skinner, Luis Armando Soto, Murat Surucu, Vignesh Viswanathan, Zi Yang, Amy Shu-Jung Yu

Affiliation: Department of Radiation Oncology, University of Washington and Fred Hutchinson Cancer Center, Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, Department of Radiation Oncology, Stanford University School of Medicine, Department of Comparative Medicine, Stanford University School of Medicine, Department of Radiation Oncology, Stanford University Cancer Center

Abstract Preview: Purpose: The intestine is a classical preclinical model for studying radiation injury, and histological quantification of intestinal crypts is a key assay for assessing this response. However, substan...

Uprightvision: A Deep-Learning Toolkit for Transforming Supine Anatomy to Upright

Authors: Ming Dong, Carri K. Glide-Hurst, Behzad Hejrati, Joshua Pan, Yuhao Yan

Affiliation: Department of Computer Science, Wayne State University, Departments of Human Oncology and Medical Physics, University of Wisconsin-Madison, Department of Human Oncology, University of Wisconsin-Madison

Abstract Preview: Purpose: Upright patient positioners and vertical CT reduce tumor motion and stabilize internal anatomy during treatment delivery. Yet, to fully exploit the advantages of upright, translation of stand...

Using Multiple Sequences MRI for Synthesizing CT Based on a Deep Learning Approach

Authors: Jie Hu, Nan Li, Chuanbin Xie, Shouping Xu, Xinlei Xu, Gaolong Zhang, Zhilei Zhang

Affiliation: School of Physics, Beihang University, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Department of Radiation Oncology, the First Medical Center of the People's Liberation Army General Hospital, National Cancer Center/ National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, PeopleÊŒs Republic of China, Department of Radiation Oncology, School of Physics, Beihang University, Beijing, 102206, PeopleÊŒs Republic of China

Abstract Preview: Purpose: This study aims to synthesize CT images for MRI-only radiation therapy using a deep learning approach that integrates information from the T1- and T2-weighted MRI sequence.
Methods: 97 hea...

Using Open-Source Reasoning Large Language Models for Radiotherapy Structure Name Harmonization

Authors: Claus Belka, Stefanie Corradini, Christopher Kurz, Guillaume Landry, Matteo Maspero, Adrian Thummerer, Erik van der Bijl

Affiliation: Department of Radiation Oncology, LMU University Hospital, LMU Munich, Radboud University Medical Center, UMC Utrecht

Abstract Preview: Purpose: To automatically harmonize non-standardized organ-at-risk (OAR) structure names from multi-lingual, multi-institutional radiotherapy datasets using state-of-the-art open-source reasoning larg...

Using Single-Energy Bragg Peak (SEBP) Flash Combined with Intensity-Modulated Proton Therapy (IMPT) for Flash Treatment in a Clinical Synchrotron-Based Proton System

Authors: Chingyun Cheng, Ben Durkee, Carri K. Glide-Hurst, Minglei Kang, Haibo Lin, Bhudatt R. Paliwal, Charles B. Simone, Zhizhen Wei, Tengda Zhang, Xingyi Zhao

Affiliation: University of Wisconsin, Department of Mechanical Engineering, University of Wisconsin-Madison, Departments of Human Oncology and Medical Physics, University of Wisconsin-Madison, New York Proton Center, Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Department of Human Oncology, University of Wisconsin-Madison

Abstract Preview: Purpose: Transmission Beam (TB), Single-Energy Bragg Peak (SEBP), and Single-Energy Spread-Out Bragg Peak (SESOBP) are primary proton conformal FLASH techniques. However, each comes with significant l...

Validation of SRS Mapcheck for Patient-Specific Quality Assurance of Cyberknife

Authors: Dong Wook Kim, Hojae Kim, Hojin Kim, Jin Sung Kim, Tae Ho Kim, Sangmin Lee

Affiliation: Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine

Abstract Preview: Purpose: The CyberKnife system, designed for stereotactic radiosurgery (SRS) and stereotactic body radiotherapy (SBRT), considers SRS MapCHECK an effective tool for patient-specific QA (PSQA). This wo...

Water-Equivalent Thickness Mapping (WET-MAP) – a Potential Alternative to 4D Robust Optimization for Motion Management in Proton Treatment Planning

Authors: Duncan Henry Bohannon, Pretesh Patel, Sibo Tian, Yinan Wang, Xiaofeng Yang, Ahmal Jawad Zafar, Jun Zhou

Affiliation: Emory University, Department of Radiation Oncology and Winship Cancer Institute, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose:
4D robust optimization, incorporating additional images (e.g., maximum inhale/exhale phases), is commonly used to account for target motion in proton treatment planning. However, the incre...

What Do We Do with Our Old Pinnacle Data?

Authors: Caiden Atienza, Daniel E. Hyer, Samuel D. Rusu, Blake R. Smith, Joel J. St-Aubin

Affiliation: Iowa Health Care, University of Iowa

Abstract Preview: Purpose: Pinnacle3 TPS (Philips Radiation Oncology Systems, Fitchburg, WI, USA) support is set to end by December 31, 2026. This work presents a validated method to archive Pinnacle data, which may be...

When Protons Are Unavailable: Study of High Quality Knowledge-Based Planning Models for the Treatment of Unilateral Head and Neck Patients

Authors: Kenny Guida, Daniel Johnson, Wesley Tucker

Affiliation: University of Kansas Medical Center, Department of Radiation Oncology, University of Kansas Medical Center

Abstract Preview: Purpose: Intensity modulated proton therapy (IMPT) has emerged as a standard of care for unilateral head and neck (HN) cancers due to superior OAR sparing. With the increase of proton centers national...