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Results for "Kay Li": 177 found

3D Image Quality Evaluation of a New CT Scanner Employing 3D Landmark Scans, Super Resolution Reconstruction, and Ag Beam Filtration

Authors: Ishika Bhaumik, John M. Boone, Michael T Corwin, Eric S Diaz, Ahmadreza Ghasemiesfe, Andrew M. Hernandez, Sarah E. McKenney, Misagh Piran, Ali Uneri, Eric L White

Affiliation: UC Davis, UC Davis Health, University of California, Johns Hopkins Univ

Abstract Preview: Purpose: A new model CT scanner (Canon Aquilion One Insight) was recently installed at our institution, and it included a 3D Landmark (3DLM) scan for automatic scan planning, a new deep learning recon...

4D CBCT Reconstruction Using Denoising Diffusion Implicit Models

Authors: Weixing Cai, Laura I. Cervino, Yabo Fu, Bohong Huang, Licheng Kuo, Tianfang Li, Xiang Li, Jean M. Moran, Huiqiao Xie, Hao Zhang

Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Memorial Sloan Kettering Cancer Center

Abstract Preview: Purpose: Four-dimensional cone-beam computed tomography (4D-CBCT) is critical in image-guided radiotherapy (IGRT) for visualizing tumor motion. However, sparse projection sampling often introduces sev...

A Bibliometric Analysis on Medical Physics Research Trends in India

Authors: Sreejesh MS, Subramani Vellaiyan

Affiliation: Kuwait Cancer Control Center, All India Institute of Medical Sciences

Abstract Preview: Purpose: Bibliometric analysis is a powerful statistical tool for evaluating scientific literature and identifying research trends through the quantitative assessment of scholarly output. This study a...

A Causal Machine Learning Analysis of Dosimetric and Clinical Predictors of Osteoradionecrosis in Head and Neck Cancer Radiotherapy

Authors: Jingyuan Chen, Sheng Li, Tianming Liu, Wei Liu, Zhengliang Liu, Zhong Liu, Daniel Ma, Samir H. Patel, Guangya Wang, Yunze Yang

Affiliation: University of Miami, Mayo Clinic, School of Data Science, University of Virginia, School of Computing, University of Georgia, Department of Radiation Oncology, Mayo Clinic, Institute of Western China Economic Research, Southwestern University of Finance and Economics

Abstract Preview: Purpose:
Traditional patient outcome analyses relied heavily on conventional statistical models that primarily elucidate correlation rather than causal relationships. In this study, we aim to ident...

A Clinically Aligned Embedding Model for Glioma Prognostication Via Radiology-Pathology Report Matching

Authors: Steve Braunstein, Yannet Interian, Hui Lin, Bo Liu, Janine Lupo, Olivier Morin, Benedict Neo

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 Data Science, University of San Francisco, University of San Francisco

Abstract Preview: Purpose: Large Language Models (LLMs) demonstrate strong general text comprehension but remain limited in oncology due to insufficient contextual alignment. We pilot embedding alignment through radiol...

A Conditional Point Cloud Diffusion Model for Deformable Liver Motion Tracking Via a Single Arbitrarily-Angled X-Ray Projection (PCD-Liver)

Authors: Yunxiang Li, Hua-Chieh Shao, Chenyang Shen, Jing Wang, 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: Accurate liver deformable motion tracking is essential in image-guided radiotherapy to enable precise tumor targeting during treatment. We developed a conditional point cloud diffusion model ...

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 Modular Approach to Reversible and Stackable Medical Imaging Translation Models: CBCT-Based Synthetic MRI with Multiple U-Nets in Series (MUNETs)

Authors: Eric Chang, Nguyen Phuong Dang, Andrew Lim, Lauren Lukas, Lijun Ma, Yutaka Natsuaki, Zhengzheng Xu, Hualin Zhang

Affiliation: Radiation Oncology, Keck School of Medicine of USC

Abstract Preview: Purpose: Harnessed the power of AI and Deep Learning (DL), Generalized Neural Network models for medical image transformation are trained to predict target images from reference images, often requirin...

A Multi-Omics Approach for Predicting Acute Hematologic Toxicity in Patients with Cervical Cancer Undergoing External-Beam Radiotherapy

Authors: Sijuan Huang, Yongbao Li

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, Sun-Yat sen University Cancer Center

Abstract Preview: Purpose: Hematologic toxicity (HT) is one of the most prevalent treatment-related toxicities experienced by locally advanced cervical cancer (LACC) patients receiving radiotherapy (RT). This study aim...

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 No-Reference Medical Image Quality Assessment Method Based on Automated Distortion Recognition Technology: Application to Preprocessing in MRI-Guided Radiotherapy

Authors: Jiayun Chen, Shengqi Chen, Yuan Tang, Zilin Wang, Guohua Wu, Jianan Wu

Affiliation: Cancer Hospital Chinese Academy of Medical Sciences, Shenzhen Center, School of Electronic Engineering, Beijing University of Posts and Telecommunications, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College

Abstract Preview: Purpose:
To develop a novel no-reference image quality assessment (NRIQA) method for evaluating the effectiveness of image preprocessing in MRI-guided radiotherapy (MRIgRT), thereby enhancing clini...

A Novel Approach to Preclinical Intensity-Modulated Radiotherapy Using an Open-Source Ring-Based Compensator Device and Inverse Treatment Planning System

Authors: Benjamin R. Awad, Bulent Aydogan, Howard J Halpern, Erik Pearson, Gage H. Redler, Jordan M. Slagowski, Rajit Tummala, Autumn E. Walter-Denzin, Jimmy Zydlo

Affiliation: University of Wisconsin-Madison Department of Human Oncology, University of Oxford, The University of Chicago, Moffitt Cancer Center, California State University, Fresno, Department of Human Oncology, University of Wisconsin-Madison

Abstract Preview: Purpose: Small animal models are crucial in cancer research to develop, validate, and translate basic scientific hypotheses into clinical advancements. This study aims to make small animal intensity-m...

A Novel Feature Selection Method for Survival Prediction of Head-and-Neck Following Radiation Therapy

Authors: Xiaoying Pan, X. Sharon Qi

Affiliation: Department of Radiation Oncology, University of California, Los Angeles, School of Computer Science and technology,Xi'an University of Posts and Telecommunications

Abstract Preview: Purpose:
Survival prediction for cancer presents a substantial hurdle in personalized oncology, due to intricate, high-dimensional medical data. Our study introduces an innovative feature selection...

A Novel Lattice Technique Based Spot Scanning Proton Arc Therapy Via Spot Sparsity Optimization and LET Optimization

Authors: Zhitao Dai, Riao Dao, Xuanfeng Ding, Qingkun Fan, Yajun Jia, Gang Liu, Gang Peng, Yujia Qian, Hong Quan, Kunyu Yang, Sheng Zhang, Lewei Zhao

Affiliation: Department of Radiation Oncology, Stanford University, Corewellhealth William Beaumont University Hospital, School of Mathematics and Statistics, Wuhan University, Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Chinese Academy of Medical Sciences Cancer Hospital Shenzhen Hospital, School of Physics and Technology,Wuhan University, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College

Abstract Preview: Purpose: Lattice radiation therapy (LRT) is an innovative three-dimensional(3D) implementation type of spatially fractionated radiation therapy (SFRT). This study aims to develop a novel spot-scanning...

A Novel Method for Modeling the Rbe of Clinical Proton Beams

Authors: Anthony Hong Cheol Lim, Alexander R ODell, Alexander Stanforth, Chris C. Wang

Affiliation: Georgia Institute of Technology, Emory University

Abstract Preview: Purpose: The purpose of this work is to investigate the variation of proton RBE, with respect to depth, in the context of clinical SOBP. Employing a novel approach, this study conducts a Monte Carlo s...

A Novel Semi-Analytic Approach for Dose Calculation in Proton Minibeam Radiotherapy

Authors: Hao Gao, Wangyao Li, Yuting Lin, Chao Wang, Wei Wu

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

Abstract Preview: Purpose: Proton minibeam radiation therapy (pMBRT) delivers a unique peak-and-valley dose pattern using collimators with narrow slits, offering improved normal tissue sparing compared to conventional ...

A Pilot Survey on Medical Physics Residency Education in External Beam Special Procedures

Authors: Courtney R. Buckey, Jay W. Burmeister, Minsong Cao, Grace Chang, Yu Kuang, Yixiang Liao, Yi Rong, Dandan Zheng

Affiliation: Mayo Clinic, Mayo Clinic Arizona, Karmanos Cancer Center, Gershenson ROC, Wayne State University School of Medicine, Department of Radiation Oncology, University of California, Los Angeles, Medical Physics Program, University of Nevada, Rush University Medical Center, University of Rochester

Abstract Preview: Purpose: Investigate the adequacy of training for therapeutic medical physics residents in select special procedures.
Methods: After a review of existing literature, a multi-institutional group dev...

A Real-Time Framework for Fiducial Tracking and Intrafraction Motion Assessment of Cyberknife in Stereotactic Body Radiation Therapy for Liver Cancer

Authors: Ruiyan Du, Mingzhu Li, Ying Li, Wei Liu, Shihuan Qin, Yiming Ren, Biao Tu, Hui Xu, Lian Zhang, Xiao Zhang, Zengren Zhao

Affiliation: Department of General Surgery, Hebei Key Laboratory of Colorectal Cancer Precision Diagnosis and Treatment, The First Hospital of Hebei Medical University, Medical AI Lab, The First Hospital of Hebei Medical University, Hebei Provincial Engineering Research Center for AI-Based Cancer Treatment Decision-Making, The First Hospital of Hebei Medical University, Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Department of Radiation Oncology, Mayo Clinic, Department of Oncology, The First Hospital of Hebei Medical University

Abstract Preview: Purpose: Fiducial tracking is widely used in CyberKnife to dynamically guide the gantry for moving target like liver cancer stereotactic body radiation therapy (SBRT). This study developed a robust fr...

A Self-Supervised Deep Learning Approach for Automatic Identification and Metal Artifact Reduction in Cone-Beam CT for Brachytherapy

Authors: Rani Anne', Wenchao Cao, Yingxuan Chen, Wookjin Choi, Firas Mourtada, Yevgeniy Vinogradskiy

Affiliation: Thomas Jefferson University

Abstract Preview: Purpose: In-room mobile cone-beam CT (CBCT) is emerging to enhance high-dose-rate (HDR) brachytherapy workflow using on-demand imaging. However, metal artifacts from X-ray markers inside gynecological...

AI-Driven Early Detection of Digital Radiography Performance Degradation: A Predictive Quality Control Approach

Authors: Giovanni Iacca, Gloria Miori, Laura Orsingher, Daniele Ravanelli, Annalisa Trianni

Affiliation: Department of Information Engineering and Computer Science, University of Trento, Medical Physics Department, S.Chiara Hospital, APSS

Abstract Preview: Purpose: This study aims to leverage artificial intelligence (AI) to predict and identify performance degradation in Digital Radiography (DR) systems, enabling proactive maintenance and minimizing cli...

AI-Powered Real-Time x-Ray Guided Tracking to Improve Stereotactic Arrythmia Radioablation: Proof of Principle

Authors: Vicky Chin, Mark Gardner, Nicholas Hindley, Paul J. Keall, Adam Mylonas

Affiliation: Image X Institute, Faculty of Medicine and Health, The University of Sydney

Abstract Preview: Purpose: Stereotactic Arrhythmia Radioablation (STAR) is a non-invasive method to treat cardiac arrhythmias by targeting aberrant electrical conduction regions in the heart. Targeting is challenging g...

Abdomen CT Multi-Organ Segmentation Using Multi-Granularity Feature Extraction

Authors: Zilei Fu, Yi Guo, Wanli Huo, Hongdong Liu, Laishui Lyu, Zhao Peng, Yaping Qi, Senting Wang

Affiliation: Department of Radiotherapy, cancer center, The First Affiliated Hospital of Fujian Medical University, the Zhejiang-New Zealand Joint Vision-Based Intelligent Metrology Laboratory, College of Information Engineering, China Jiliang University, Division of lonizing Radiation Metrology, National Institute of Metrology, 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, China Jiliang University, Department of Oncology, Xiangya Hospital, Central South University

Abstract Preview: Purpose: Medical image boundaries are commonly characterized by smooth gray-level transitions, resulting in pixel-level segmentation errors near these blurred boundaries. To address this, we developed...

Achieving Consistent Calcium Score in Lung Cancer Screening: Influence of Cardiac Phases

Authors: Emi Ai Eastman, Chao Guo, Christina Lee, Xinhua Li, Alexander W. Scott, Yifang (Jimmy) Zhou

Affiliation: Cedars-Sinai Medical Center

Abstract Preview: Purpose:
Smoking is one of the risk factors for coronary artery disease. It is desirable to estimate the coronary artery calcification (CAC), a key biomarker for atherosclerosis and cardiovascular ...

Advancing Biodosimetry with AI: Detecting Dicentric Chromosomes Using Convolutional Neural Networks

Authors: Adayabalam Balajee, Elijah Berberette, Maria Escalona, Dray Gentry, Chester R. Ramsey, Terri Ryan

Affiliation: ORAU, Thompson Proton Center, University of Tennessee

Abstract Preview: Purpose:
Dicentric chromosomes, characterized by two centromeres on a single chromosome, are key biomarkers in biological dosimetry for quantifying ionizing radiation exposure. However, manual dete...

An Accelerated Scatter Estimation for Spectral CBCT Based on Linear Boltzmann Transport Equation

Authors: Zhiqiang Chen, Hewei Gao, Li Zhang, Guoxi Zhu

Affiliation: Tsinghua University

Abstract Preview: Purpose: Spectral cone-beam CT has better performance in material identification and quantitative analysis compared to single-energy cone-beam CT. However, X-ray scattering introduces significant scat...

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 Analytical Framework to Quantify the Effect Obstructing Anatomical Features in Intrafractional Spectral Imaging Using a Dual-Layer Kv Imager

Authors: Ross I. Berbeco, Vera Birrer, Raphael Bruegger, Pablo Corral Arroyo, Roshanak Etemadpour, Dianne M. Ferguson, Rony Fueglistaller, Thomas C. Harris, Yue-Houng Hu, Matthew W. Jacobson, Mathias Lehmann, Marios Myronakis

Affiliation: Medical Physics Department, Medical School, University of Thessaly, Brigham and Women's Hospital, Harvard Medial School, Dana-Farber Cancer Institute, Department of Radiation Oncology, Dana Farber/Brigham and Women's Cancer Center, Department of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Brigham and Women's Hospital, Varian Imaging Laboratory

Abstract Preview: Purpose:
Dual-layer kV imager (DLI) architecture enables the capability for single-shot dual-energy (DE) intrafraction imaging. As noise from individual DLI layers are primarily uncorrelated, simpl...

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 Integrated Robust Inverse Planning Based on AI-Built Dose Kernel Library for Preclinical Radio-Neuromodulation Using Focused Kv X-Rays

Authors: Wenbo Gu, Chenhui Qiu, Ke Sheng, Liyan Sun, Weiyuan Sun, Lei Xing

Affiliation: Department of Radiation Oncology, Stanford University, Department of Radiology, Stanford University, University of Pennsylvania, Department of Radiation Oncology, University of California, San Francisco, Department of Radiation Oncology, Stanford University,

Abstract Preview: Purpose:
The small animal radio-neuromodulation platform developed in our previous work utilized focused kV x-ray beams rotating and translating in predefined trajectories to irradiate small, mm si...

An Ultra-High Parallel Performance (UHPP) Framework for Highly Complex Radiotherapy Planning

Authors: Lu Jiang, Shusen Jing, Qihui Lyu, Dan Ruan, Ke Sheng, Qifan Xu

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

Abstract Preview: Purpose: In radiotherapy, the conformity and compactness of dose distribution are vital to patient outcomes. The introduction of highly complex planning, such as 4Ļ€ radiotherapy, has provided a system...

Analysis of High School and Middle Science Teachers Learning about Medical Physics through Year-Long Educational Program

Authors: Ashley Cetnar, Lin Ding, Jeffrey E. Woollard

Affiliation: The Ohio State University, The Ohio State University - James Cancer Hospital

Abstract Preview: Purpose: A cohort of middle school and high school science teachers were selected to learn about physics in medicine, develop lesson plans for their students, participate in a Physics in Medicine fiel...

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...

Analyzer-Less X-Ray Interferometry with Super-Resolution Methods

Authors: Joyoni Dey, Hunter Cole Meyer, Murtuza Taqi

Affiliation: Louisiana State University

Abstract Preview: Purpose: We propose using super-resolution methods for X-ray grating interferometry without an analyzer with detectors that fail to meet the Nyquist sampling rate needed for traditional image recovery...

Artificial Intelligence-Powered Conventional Energy Integrating Detector-Based Coronary CT Angiography: Learning High-Resolution and Multi-Energy Imaging from Photon-Counting Detector CT

Authors: Shaojie Chang, Thomas A. Foley, Hao Gong, Emily Koons, Shuai Leng, Cynthia H. McCollough, Eric E. Williamson

Affiliation: Mayo Clinic

Abstract Preview: Purpose: To enhance coronary CT angiography (cCTA) capabilities on conventional energy integrating detector CT (EID-CT) using artificial intelligence (AI). The AI framework incorporates high-resolutio...

Assessing the Feasibility of LD-V1 Film for Annual Kilovoltage Imaging Dose Measurements

Authors: Maria F. Chan, Seng Boh Gary Lim, Shih-Chi Lin, Dustin W. Lynch, Usman Mahmood, Jeonghoon Park

Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center

Abstract Preview: Purpose: To explore the feasibility of using GafChromic LD-V1 film for annual imaging dose assessment across kV radiography, fluoroscopy, and cone beam computed tomography (CBCT) imaging protocols, as...

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 Plan Quality Metrics for Iroc Houston SRS Phantom Performance Evaluation

Authors: Derek Matthew Garcia, Mallory Glenn, Stephen F. Kry, Ruitao Lin, Dennis S. Mackin, Tucker J. Netherton

Affiliation: MD Anderson Cancer Center, The University of Texas MD Anderson Cancer Center, Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, University of Texas’ MD Anderson Cancer Center, The University of Texas MD Anderson Cancer Center, Houston

Abstract Preview: Purpose: This study aims to investigate the feasibility of implementing clinically relevant quality metrics for evaluating IROC SRS phantom plans, including conformity index (CI) and homogeneity index...

Automated Quantification of Irradiation-Induced Effects on Ribosome Biogenesis Using Foundational AI Model and Image Analysis

Authors: Kyle J. Wang, Yading Yuan

Affiliation: Bergen County Technical High School, Columbia University Irving Medical Center, Department of Radiation Oncology

Abstract Preview: Purpose: Genotoxic cancer therapies inevitably damage normal cells, particularly circulating hematopoietic cells, posting a risk for therapy-induced leukemia. This study aims to develop an automated i...

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...

Automating Radiographic Sharp Score Prediction in Rheumatoid Arthritis Using Multistage Deep Learning Methods

Authors: Hajar Moradmand, Lei Ren

Affiliation: University of Maryland School of Medicine, University of Maryland

Abstract Preview: Purpose:
The Sharp-van der Heijde (SvH) score is essential for assessing joint damage in rheumatoid arthritis (RA) from radiographic images. However, manual scoring is time-intensive and prone to v...

BEST IN PHYSICS IMAGING: Population-Based Cardio-Respiratory Motion Model to Simulate 4D CT Angiography and 2D+t Fluoroscopy for Percutaneous Coronary Intervention

Authors: Debarghya China, Junghoon Lee, Ali Uneri

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

Abstract Preview: Purpose: This study aims to develop a population-based cardio-respiratory motion model and apply it to patient-specific 3D CTA to simulate 4D CTA and 2D+t fluoroscopy sequences. The developed motion m...

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 IN PHYSICS THERAPY: Overcoming Challenges in Developing Machine Learning-Driven Acute Kidney Injury Predictive Models Using Non-Standard Emrs in Resource-Limited Settings

Authors: Yuanhan Chen, Ziqiang Chen, Qi Cheng, Feng Ding, Rui Fang, Shengwen Guo, Li Hao, Qiang He, Haiquan Huang, Yu Kuang, Xinling Liang, Yuanjiang Liao, Guohui Liu, Chen Lu, Qingquan Luo, Jing Sun, Yanhua Wu, Zhen Xie, Qin Zhang, Lang Zhou

Affiliation: South China University of Technology, Dongguan people's hospital, Sichuan Provincial People's Hospital, People’s Hospital of Xinjiang Uygur Autonomous Region, Second Hospital of Anhui Medical University, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangdong Easy Life Information Technology Co., Ltd, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Medical Physics Program, University of Nevada, Second Hospital of Jilin University, Chongqing Ninth People's Hospital

Abstract Preview: Purpose: Acute kidney injury (AKI) is a global healthcare issue with a rapid onset and severe consequences. Repeated measurement of serum creatinine (SCr) levels, a clinical standard of care, is cruci...

Bayesian Mixture Modelling of Apparent Diffusion Coefficients from Whole-Body MRI Reveals Significant Changes in Metastatic Lesions Treated with Stereotactic Body Radiotherapy Compared to Untreated Controls

Authors: Giacomo Avesani, Matthew D Blackledge, Silvia Bottazzi, Alison Tree, Nina Tunariu

Affiliation: Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Institute of Cancer Research, The Royal Marsden NHS Foundation Trust

Abstract Preview: Purpose: To evaluate changes in median apparent diffusion coefficient (ADC) within metastatic oligoprogressing lesions from prostate cancer treated with stereotactic body radiotherapy (SBRT) and compa...

Clinical Implementation of Volumetric Modulated Arc Therapy (VMAT) for Total Body Irradiation (TBI) with Off-the-Shelf Tools

Authors: Kai-Cheng Chuang, Oana I. Craciunescu, Christopher Kelsey, Joseph Kowalski, Nicole Larrier, Xinyi Li, Sheridan G. Meltsner, Anna E. Rodrigues, Yang Sheng, Qiuwen Wu

Affiliation: Duke University, Duke University Medical Center

Abstract Preview: Purpose: To clinically implement a Volumetric Modulated Arc Therapy (VMAT) procedure for Total Body Irradiation (TBI) with off-the-shelf tools.
Methods: Patient is treated on linac couch with a hyb...

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 ...

Combining Patch-Based CNN Models with Hierarchical Shapley Explanations for Breast Cancer Diagnosis

Authors: Xuelian Chen, John Ginn, Zhuhong Li, Kaizhong Shi, Chunhao Wang, Jianliang Wang, Chuan Wu, Zhenyu Yang, Fang-Fang Yin, Jingtong Zhao

Affiliation: The First People's Hospital of Kunshan, Duke University, Medical Physics Graduate Program, Duke Kunshan University, Duke Kunshan University, Department of Radiation Oncology, Duke Kunshan University

Abstract Preview: Purpose: Developing deep learning-based models for accurate automated breast cancer diagnosis from mammography presents significant challenges due to the small size and subtle nature of breast lesions...

Comparative Analysis of Quantum-Classical Hybrid and Traditional Deep Learning Approaches for Chest X-Ray Image Classification

Authors: Ji Hye Han, Yookyung Kim, Jang-Hoon Oh, Heesoon Sheen, Han-Back Shin

Affiliation: Ewha Womans university, Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, High-Energy Physics Center, Chung-Ang Universit, Ewha Womans University, Kyung Hee University Hospital

Abstract Preview: Purpose: Chest X-rays are critical for diagnosing conditions such as pneumonia, tuberculosis, and COVID-19. Although deep learning (DL) approaches, especially convolutional neural networks, have signi...

Comparitive Case Analysis of Maa Mapping and Angiographic Iodinated Contrast for Y-90 SIRT Treatment Planning

Authors: Shengwen Deng, Sven L. Gallo, Robert S. Jones, David W. Jordan, Arashdeep Kaur, Aishwarya M. Kulkarni, Quibai Li, William R.M. Pedersen

Affiliation: Department of Radiology, University Hospitals Cleveland Medical Center; School of Medicine, Case Western Reserve University, Department of Radiology, Radiation Safety, University Hospitals Cleveland Medical Center, Department of Radiology, Radiation Safety, University Hospitals Cleveland Medical Center; School of Medicine, Case Western Reserve University; Department of Radiology, Louis Stokes Cleveland VA Medical Center

Abstract Preview: Purpose:
Y-90 (Yttrium) SIRT radioembolization takes advantage of delivering localized radiation to the liver. Pre-treatment dosimetry is highly dependent on accurate MAA mapping, which may have an...

Comprehensive Commissioning of an O-Ring-Shaped Image-Guided Radiotherapy System with a Gimbal-Mounted Linear Accelerator

Authors: Tetsuo Fukuda, Hideaki Hirashima, Kohei Kawata, Yukako Kishigami, Takashi Mizowaki, Mitsuhiro Nakamura, Yohei Sawada, Maika Urago

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

Abstract Preview: Purpose: To present the comprehensive commissioning results of the O-ring shaped linac, OXRAY.
Materials and Methods: OXRAY enables a novel three-dimensional unicursal noncoplanar irradiation metho...

Consecutive Daily Fractions with Itv Boost Are Safe for Treating Central Non-Small Cell Lung Cancer Using Stereotactic Body Radiation.

Authors: Baher Elgohari, M. Saiful Huq, Ronald John Lalonde, Fang Li, Noor Mail, Jeonghoon Park, Tyler Wilhite

Affiliation: UPMC Hillman Cancer Center and University of Pittsburgh School of Medicine, Department of Radiation Oncology, UPMC Hillman Cancer Center, UPMC, Department of Medical Physics, Memorial Sloan Kettering Cancer Center

Abstract Preview: Purpose:
To compare toxicity between consecutive-daily (QD) with every-other-day (QoD) delivery of lung stereotactic-body-radiation (SBRT) for central non-small-cell lung cancer (NSCLC).
Methods...

Construction and Application Study of a Deep Learning-Based Iscout-Guided Precision Radiotherapy Positioning Error Prediction Model for Breast Cancer

Authors: Fangfen Dong, Jiaming Li, Xiaobo Li, Weipei Wang, Zhixin Wang, Bing Wu, Benhua Xu, Yong Yang, Yifa Zhao

Affiliation: Department of Radiation Oncology, Fujian Medical University Union Hospital/Fujian Key Laboratory of Intelligent Imaging and Precision Radiotherapy for Tumors/Clinical Research Center for Radiology and Radiotherapy of Fujian Province (Digestive, Hematologi, Zhangpu County Hospital, School of Medical Imaging, Fujian Medical University

Abstract Preview: Purpose: To explore the construction and clinical application value of a deep learning-based positioning error prediction model, providing a reference for optimizing iSCOUT system-guided precision rad...

Continuous Professional Development for Medical Physicists on AI Principles from the User's Perspective.

Authors: Mauro Carrara, Olivera Ciraj Bjelac, John E. Damilakis, Andre L. Dekker, Serafina Di Gioia, Renato Padovani, Egor Titovich, Qingrong Jackie Wu

Affiliation: University of Crete, Duke University Medical Center, Maastro Clinic, Dosimetry and Medical Radiation Physics Section, Division of Human Health, International Atomic Energy Agency, International Centre for Theoretical Physics

Abstract Preview: Purpose: The purpose of this work is to present the International Atomic Energy Agency (IAEA) activity in providing medical physicists (MPs) with knowledge, skills, and competencies to support the saf...

Cross Characterization of a 3D Gamma Camera and Ring Brachytherapy Applicator

Authors: Zachary R. Grelewicz, Kevin C. Jones, Yixiang Liao, Andrew Ogilvy, Julius V. Turian

Affiliation: Rush University Medical Center

Abstract Preview: Purpose: To demonstrate the accuracy and QA application of a time-resolved 3D gamma camera, we measured the path traversed by the Ir-192 High-Dose-Rate (HDR) brachytherapy source passing through a rin...

Cross-Calibration and Comparison of CT Number to Electron Density Using Two Calibration Phantoms

Authors: Afrouz Ataei, Xinhui Duan, Andrew R. Godley, Mi-Ae Park, Mahbubur Rahman, Liqiang Ren, Chenyang Shen, Gary Xu

Affiliation: Department of Radiology, UT Southwestern Medical Center, UT Southwestern Medical Center, Rush University, Imaging Services, UT Southwestern Medical Center

Abstract Preview: Purpose:
Electron density (ED) phantoms are crucial for calibrating CT number (HU) to relative ED in treatment planning. This study evaluates the differences in HU-to-ED calibrations between two co...

Deep Learning-Based Denoising for Template Matching in Real-Time Tumor Tracking Using Kv Scattered X-Ray Imaging

Authors: Weikang Ai, Xiaoyu Hu, Xun Jia, Kai Yang, Yuncheng Zhong

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

Abstract Preview: Purpose: Real-time tumor tracking is critically important for respiratory motion management for lung cancer radiotherapy. A previously proposed application of a photon counting detector involves measu...

Detector Physics-Incorporated Diffusion Denoising Models for Digital Breast Tomosynthesis with Dual-Layer Flat Panel Detectors

Authors: Alexander Bookbinder, Matthew Tivnan, Xiangyi Wu, Wei Zhao

Affiliation: Stony Brook Medicine, Massachusetts General Hospital

Abstract Preview: Purpose: To investigate and benchmark a system-adaptive diffusion-based digital breast tomosynthesis (DBT) denoising model for a direct-indirect dual-layer flat panel detector (DI-DLFPD) with a k-edge...

Determining Optimal Delivery Pattern for Reference Dosimetry in Pencil Beam Scanning Proton Therapy

Authors: Clifford Ghee Ann Chua, Calvin Wei Yang Koh, Kah Seng Lew, Zubin Master, Sung Yong Park, Hong Qi Tan, Andrew Wibawa

Affiliation: National Cancer Centre Singapore

Abstract Preview: Purpose: To investigate the impact of spot position deviation on reference dosimetry measurements using different delivery patterns and to determine the optimal delivery pattern for reference dosimetr...

Developing a Comprehensive Multi-Modal Framework for Population-Scale Liver Volumetry: Insights and Predictive Models

Authors: Mustafa Bashir, Diana Kadi, Kyle J. Lafata, Jacob A. Macdonald, Mark Martin, Yuqi Wang, Marilyn Yamamoto

Affiliation: Duke University, Department of Radiation Oncology, Duke University, Department of Electrical and Computer Engineering, Duke University, Department of Radiology, Duke Unversity

Abstract Preview: Purpose: To develop a high-throughput, automated-data-interrogation pipeline for integrating imaging and clinical information to identify key determinants of liver volume (LV), enabling population-sca...

Developing an AI-Driven Predictor for Forecasting Treatment Outcomes in Patients with Early-Stage Breast Cancer

Authors: Lucy Jiang, Chengyu Shi

Affiliation: Department of Radiation Oncology, City of Hope Orange County, Amity Regional High School (10th Grade)

Abstract Preview: Purpose: Early-stage breast cancer is common among females, with typically high local tumor control rates (LCR). Brachytherapy is a common way to achieve LCR following surgery. However, the patients m...

Development of a Knowledge-Based Planning Model for Optimal Trade-Off Guidance in Locally Advanced Non-Small Cell Lung Cancer

Authors: Ming Chao, Hao Guo, Tenzin Kunkyab, Yang Lei, Tian Liu, Kenneth Rosenzweig, Robert Samstein, James Tam, Junyi Xia, Jiahan Zhang

Affiliation: Icahn School of Medicine at Mount Sinai

Abstract Preview: Purpose:
The aim of the study is to develop a trade-off prediction model to efficiently guide the treatment planning process for patients with stage III non-small cell lung cancer (NSCLC).
Metho...

Development of an Inverse Treatment Planning System for Precision Small Animal Radiotherapy

Authors: Zihao Liu, Qiwei Wu, Yanfei Xiong, Yidong Yang, Ning Zhao

Affiliation: Department of Engineering and Applied Physics, School of Physical Sciences, University of Science and Technology of China, Department of Engineering and Applied Physics, University of Science and Technology of China, University of Science and Technology of China

Abstract Preview: Purpose: To develop an inverse planning framework that optimizes beam angles and intensities for small animal radiotherapy and to validate its accuracy and effectiveness.
Methods: The inverse plann...

Development of an Orthogonal X-Ray Projections-Guided Cascading Volumetric Reconstruction and Tumor-Tracking Model for Adaptive Radiotherapy

Authors: Penghao Gao, Zejun Jiang, Huazhong Shu, Linlin Wang, Gongsen Zhang, Jian Zhu

Affiliation: Laboratory of Image Science and Technology, Key Laboratory of Computer Network and Information Integration, Southeast University, Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Artificial Intelligence Laboratory, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences

Abstract Preview: Purpose: We propose a cascading framework for time-varying anatomical volumetric reconstruction and tumor-tracking, guided by onboard orthogonal-view X-ray projections.
Methods: We employe multiple...

Direct Dose Verification in Liver SBRT Utilizing an Accumulative Daily CBCT Algorithm

Authors: Michael Buckstein, Yang Lei, Tian Liu, Charlotte Elizabeth Read, Jing Wang, Kaida Yang, Jiahan Zhang

Affiliation: Icahn School of Medicine at Mount Sinai

Abstract Preview: Purpose: Inter-fraction anatomic variations in liver SBRT can cause significant discrepancies between planned and delivered doses. We developed a CBCT-based accumulative algorithm to directly compare ...

Dosimetric Analysis of Plans Using X-Ray and X-γ-Ray Combination Strategy for Advanced Cervical Cancer Patients with Pelvic Lymph Node Metastasis

Authors: Yi Li

Affiliation: Department of Radiation Oncology, the First Affiliated Hospital of Xi'an Jiaotong University

Abstract Preview: Purpose: Advances in radiotherapy technology are crucial for improving cervical cancer (CC) treatment. This study explores a novel X-ray and γ-ray dual-modality radiation (TaiChiB) system, comparing i...

Dosimetric Evaluation of Comprehensive Motion Management in 1.5T MR-Linac for Real-Time Gated Radiotherapy

Authors: Kin Yin Cheung, Chen-Yu Huang, Chi Wah Kong, Ka Ki Lau, Pei-Xiong Li, Pak Hang Nam, Mei Yan Tse, Jierong Wang, Bin Yang, Siu Ki Yu, Jing Yuan, Chi To Yung, Shang Peng Felix Yung

Affiliation: Medical Physics Department, Hong Kong Sanatorium and Hospital, Research Department, Hong Kong Sanatorium and Hospital

Abstract Preview: Purpose: Intrafraction motion management remains a major challenge in magnetic resonance-guided radiotherapy (MRgRT). The recent clinical release of an active motion management system aims to enhance ...

Dosimetry Calibration for Low-Energy Protons (2-4 MeV) Using Gafchromic Film Dosimeters

Authors: Michael Dingfelder, Homeira Faridnejad

Affiliation: East Carolina University, Department of Physics, East Carolina University

Abstract Preview: Purpose: To use Gafchromic film for measurement of the dose delivered by low-energy (2-4 MeV) protons to living cells.
Methods: Five different types of Gafchromic films were tested for dosimetry un...

Dosimetry Comparison of Surface-Guided and Orthogonal X-Ray Film-Based Setups for Proton Pencil-Beam Scanning in Breast Cancer Treatment

Authors: Darren Kaplan, Chenguang Liu, Mark Pankuch

Affiliation: Northwestern Medicine Proton Center

Abstract Preview: Purpose: This study evaluates the hypothesis that surface-guided radiation therapy for the breast or chest wall using proton PBS provides comparable target coverage and OARs sparing to x-ray-based IGR...

Early Evaluation Study for Stereotactic Adaptive Radiotherapy for Pancreatic Cancer with Ethos 2.0 System

Authors: Kenneth W. Gregg, Beatriz Guevara, Lauren E Henke, Rojano Kashani, Kyle O'Carroll, Gisele Castro Pereira, Christian Erik Petersen, Alex T. Price, Meiying Xing, Reine abou Zeidane

Affiliation: university hospital, University Hospitals Seidman Cancer Center

Abstract Preview: Purpose:
Experimental data have shown the inconsistent monitor unit and target coverage in Ethos 1.1. This can lead to inaccurate dose delivery, compromising patient safety and treatment outcomes. ...

Early GU Toxicity Prediction in Prostate SBRT Using Delivered Dosimetry Via Long Short-Term Memory Model

Authors: Amar Kishan, Jun Lian, Yunkui Pang, Jonathan Pham, X. Sharon Qi, Michael Steinberg, Luca F Valle, Pew-Thian Yap

Affiliation: Department of Radiation Oncology, University of California, Los Angeles, University of North Carolina at Chapel Hill

Abstract Preview: Purpose: Stereotactic body radiotherapy (SBRT) is a highly effective treatment for prostate cancer, yet predicting genitourinary (GU) toxicity has primarily relied on planned dosimetry. This study inv...

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...

Empowered By Artificial Intelligence and Knowledge Map in Bio-Medical Physics Course

Authors: Jia Jing, Hui Lin, Daming Meng, Zhenyu Xiong

Affiliation: School of Physics, Hefei University of Technology, Rutgers Cancer Institute of New Jersey

Abstract Preview: Purpose: Artificial intelligence (AI) is attempting to understand the essence of intelligence and produce a new type of intelligent machine that can respond in a way similar to human intelligence. AI ...

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...

Evaluating Planning Metrics for Biology-Guided Radiation Therapy (BgRT)

Authors: Emily Hansen, Jay Mistry, Alois M. Ndlovu, Niara Rowe, Roland Teboh

Affiliation: Hackensack University Medical Center

Abstract Preview: Purpose: SCINTIX Biology-guided radiotherapy (BgRT) on the RefleXion X1 relies on a new planning system and advanced planning techniques. The first patient SCINTIX BgRT plans are compared to similar c...

Evaluating Tumor Shrinkage Using Fractionated Radiotherapy: A Mixed Finite Element Method (FEM) for Free Boundary Problem

Authors: Xianjin Dai, PhD, Xiang Wan, Lei Xing, Qiuyun Xu, Lewei Zhao, Zeyu Zhou

Affiliation: Department of Radiation Oncology, Stanford University, Carl Zeiss X-ray Microscopy, Department of Mathematics and Statistics, Loyola University Chicago, Department of Radiation Oncology, City of Hope National Medical Center

Abstract Preview: Purpose: The purpose of this study is to examine and quantify tumor shrinkage over time in response to fractionated radiotherapy. We seek to establish a predictive model that can provide a systematic ...

Evaluating a Novel Solution for GYN Planning: Integrated Dynamic Collimator Rotation and Static Angle Modulated Ports with a New Optimizer

Authors: Ben Archibald-Heeren, Grace Gwe-Ya Kim, Kelly Kisling, Xenia Ray

Affiliation: UC San Diego, Icon Cancer Centres, University of California, San Diego, University of California San Diego

Abstract Preview: Purpose: To evaluate improvements in external beam plans for gynecological cancers from a novel planning solution: RapidArc Dynamic (RAD) (Varian Medical Systems, Palo Alto, CA) which optimizes VMAT w...

Evaluating the Readiness for Ultra-Hypofractionated Prostate and Breast Radiotherapy in Sub-Saharan Africa: A Strategic Needs-Assessment of Six Leading African Institutions

Authors: Samuel O. Adeneye, Victoria Susan Ainsworth, Azeezat Ajose, Stephen M. Avery, Munir Awol, Kavuma Awusi, Onyinye Balogun, Rohini Bhatia, Frank Chinegwundoh, Jumaa Dachi Kisukari, Curtiland Deville, Katy Graef, Yao Hao, M. Saiful Huq, Luca Incrocci, Adedayo O. Joseph, Solomon Kibudde, Joerg Lehmann, Heng Li, Abba Mallum, Thokozani Mkhize, Twalib Ngoma, Wilfred Ngwa, Christopher F. Njeh, Janine Simons, William Swanson, Maureen Bilinga Tendwa, Joseph Weygand, Krishni Wijesooriya

Affiliation: Uganda Cancer Institute, Johns Hopkins University, BIO Ventures for Global Health, Weill Cornell Medicine, Washington University School of Medicine, South Africa Health Product Regulatory Authority, University of Pennsylvania, University of Massachusetts Lowell, NSIA-LUTH Cancer Center, University of Lagos, Indiana University School of Medicine, Department of Radiation Oncology, Erasmus Medical Center, Department of Radiation Oncology and Applied Science, Dartmouth Health, Addis Ababa University, Ocean Road Cancer Institute, Emory University, Barts Health NHS Trust, Inkosi Albert Luthuli Central Hospital, Lagos University Teaching Hospital, UPMC Hillman Cancer Center and University of Pittsburgh School of Medicine, University of Virginia School of Medicine, University of Newcastle

Abstract Preview: Purpose: Sub-Saharan Africa continues to face a critical shortage in radiotherapy resources, exacerbating the region’s growing cancer burden. One potential strategy that can partially offset this prob...

Evaluation of Dosimetric Variations from Anatomical Changes in Head and Neck Cancer Patients Treated with Intensity Modulated Proton Therapy

Authors: Chia-Lung Chien, Wen C. Hsi, Romy Megahed, 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:
The dosimetric variations induced by inter-fractional anatomical changes in intensity-modulated proton therapy could impact the clinic outcomes for head-and-neck (HN) cancer patients. This...

Evaluation of the Reflexion X1 As a Standalone PET/CT Simulator for Treatment Planning and Treatment Adaptation

Authors: Chunhui Han, An Liu, William T. Watkins, Qiuyun Xu

Affiliation: Department of Radiation Oncology, City of Hope National Medical Center

Abstract Preview: Purpose: To evaluate the RefleXion X1 imaging system as a standalone positron emission tomography and computed tomography (PET/CT) simulator for radiotherapy treatment planning and adaptive re-plannin...

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...

Extremity Imaging with Cone-Beam CT (CBCT) Scanner Dedicated for Hip Imaging – What Are the Effective Doses?

Authors: Jeff Boob, Jaydev K. Dave, Tim Minch, Bhavyata Tanna

Affiliation: Dr. Ronald E. McNair Academic High School, Mayo Clinic, CurveBeam AI

Abstract Preview: Purpose: To compute effective doses associated with imaging of the extremities with a HiRise (CurveBeam AI, Hatfield, PA) cone-beam CBCT scanner specifically designed for weight-bearing imaging of the...

Feasibility Study of Deep Learning-Based MRI-to-PET Generation for Rectal Cancer: Overall Survival Prediction and Pathological Complete Response Assessment

Authors: Weigang Hu, Zhenhao Li, Jiazhou Wang, Xiaojie Yin, Zhen Zhang

Affiliation: Fudan University Shanghai Cancer Center

Abstract Preview: Purpose:
This study aims to develop and validate a novel deep learning method to generate synthetic PET images for rectal cancer from MRI data. By incorporating metabolic information from the synth...

Feasibility Study of the Auger Electron Radiation Therapy

Authors: Chen-Ju Feng, Shih-Ming Hsu, Chin-Hsiung Lin, Shih-Yong Luo, Shao-Chun Tseng, Chin-Hui Wu, Ya-Ru Yang

Affiliation: National Yang Ming Chiao Tung University, Koo Foundation Sun Yat-Sen Cancer Center, Tzu-Chi University, NanoRay Biotech Co., Ltd

Abstract Preview: Purpose: The range of auger electrons in water is 2~500 nm, and its linear energy transfer reaches 26 keV/μm. This study investigated the feasibility of the auger electron radiation therapy.
Method...

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...

Feasibility of Using a Convolutional Neural Network to Predict Physician Evaluation of Synthetic Medical Images

Authors: Sofia Beer, Menal Bhandari, Alec Block, Nader Darwish, Joseph Dingillo, Sebastien A. Gros, Hyejoo Kang, Andrew Keeler, Rajkumar Kettimuthu, Jason Patrick Luce, Ha Nguyen, John C. Roeske, George K. Thiruvathukal, Austin Yunker

Affiliation: Data Science and Learning Division, Argonne National Laboratory, Department of Radiation Oncology, Stritch School of Medicine, Loyola University Chicago, Stritch School of Medicine Loyola University Chicago, Cardinal Bernardin Cancer Center, Loyola University Chicago, Department of Computer Science, Loyola University of Chicago

Abstract Preview: Purpose: Artificial intelligence (AI) generated synthetic medical images are seeing increased use in radiology and radiation oncology. Physician observer studies are an ideal way to evaluate the usabi...

Feasibility of X-Ray Based Online Adaptive Dynamic Optimization with Integrated Knowledge-Based Planning for Head and Neck Cancer

Authors: Jacob S. Buatti, Mu-Han Lin, Dominic Moon, David D.M. Parsons, David Sher, Justin D. Visak, Hui Ju Wang

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

Abstract Preview: Purpose: Most current adaptive treatment planning systems (TPS) natively utilize static planning goals from the reference plan for online adaptive re-optimization. In complex head-and-neck cancer (HNC...

Fine-Tuning AI-Based Generative Models for Small-Sample Glioma MRI Generation.

Authors: Xiangli Cui, Chunyan Fu, Man Hu, Wanli Huo, Jingyu Liu, Jianguang Zhang, Yingying Zhang, Shanyang Zhao

Affiliation: Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, the Zhejiang-New Zealand Joint Vision-Based Intelligent Metrology Laboratory, College of Information Engineering, China Jiliang University, Departments of Radiation Oncology, Zibo Wanjie Cancer Hospital, Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, College of Information Engineering, China Jiliang University, Department of Oncology, Xiangya Hospital, Central South University, College of Information Engineering, China Jiliang University, Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences

Abstract Preview: Purpose: To quantify the impact of fine-tuning strategies for pre-trained AI image generation models on glioma MRI image quality and observer performance, and to determine the optimal fine-tuning conf...

First-Time Live Imaging of Radiopharmaceutical Administration with a Hybrid Compton Camera

Authors: Ramesh Boggula, Jay W. Burmeister

Affiliation: Wayne State University, Karmanos Cancer Center, Gershenson ROC, Wayne State University School of Medicine

Abstract Preview: Purpose: This study evaluated the performance of a hybrid Compton camera for real-time imaging during the administration of Lu-177-based radiopharmaceuticals, including Pluvicto and Lutathera. The aim...

Foundation Model-Augmented Learning for Automatic Delineation in Precision Radiotherapy

Authors: Xianjin Dai, PhD, Michael Gensheimer, Praveenbalaji Rajendran, Lei Xing, Yong Yang

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

Abstract Preview: Purpose: Recent advances in the automatic delineation of radiotherapy treatment targets, which incorporate linguistic clinical data extracted by large language models (LLMs) into traditional visual-on...

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...

Fully Automatic Pipelines for Anatomical ROI Detection and Exposure Index Calculation in X-Ray Imaging : Foundation Model-Based Frameworks for Dose Standardization

Authors: Yoonha Eo

Affiliation: Yonsei University

Abstract Preview: Purpose: To develop a fully automatic and unsupervised algorithm for estimating the Exposure Index (EI) of various Regions of Interest in X-ray imaging using advanced foundation models. Traditional EI...

GPU-Accelerated Beamlet and Full Dose Calculations for Efficient Radiation Therapy Planning

Authors: Girish Bal, Jan Kralj, Ayan Mitra, PhD, Ling Shao, Matjaz Subic, Yevgen Voronenko

Affiliation: RefleXion Medical, Cosylab

Abstract Preview: Purpose: This work enhances the efficiency of radiation therapy treatment planning by optimizing the beamlet dose matrix and full patient dose computations using GPU acceleration. The Collapsed-Cone C...

Gene Interaction-Encoded Deep Learning Uncovers Microenvironment for Radiation-Induced Pulmonary Fibrosis

Authors: Md Tauhidul Islam, Junyan Liu, Lei Xing

Affiliation: Department of Radiation Oncology, Stanford University

Abstract Preview: Purpose: Radiation-induced lung injury (RILI) is a common complication in patients receiving radiotherapy for lung cancer, with approximately 16%–28% developing pulmonary fibrosis. The exact mechanism...

Global Medical Physics Graduate Clinical Training and Development Program

Authors: Eric Addison, Stephen M. Avery, Alhassan Mohammed Baidoo, Lyna Dinh, Megan Doherty, Andrew Friberg, Sonya Gwak, Francis Hasford, Stephen Inkoom, Shannon E. O'Reilly, Ayoola Okuribido, Edem Sosu, Samuel Nii Adu Tagoe

Affiliation: University of Wisconsin, Komfo Anokye Teaching Hospital, Ghana Atomic Energy Commission, Korle Bu Teaching Hospital, University of Pennsylvania, University of Ghana, Sweden Ghana Medical Centre

Abstract Preview: Purpose: This first-of-its-kind Global Medical Physics Training and Development Program (GMPTDP) seeks to serve as an opportunity for graduate students to enhance their clinical training with a global...

High-Quality Patchnet (HQ-PatchNet) for Synthetic CT Generation in Head & Neck Imaging

Authors: So Hyun Ahn, Chris Beltran, Byongsu Choi, Jeong Heon Kim, Jin Sung Kim, Bo Lu, Justin Chunjoo Park, Bongyong Song, Jun Tan

Affiliation: Mayo Clinic, Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Ewha Medical Research Institute, Ewha Womans University College of Medicine, UC San Diego, Yonsei University College of Medicine

Abstract Preview: Purpose:
Cone-beam computed tomography (CBCT) is widely used in IGRT for patient positioning but suffers from low resolution and poor soft tissue contrast. Synthetic CT (sCT) generated from CBCT ad...

Image Quality-Based Clinical CT Cohort Selection from Midrc Using a Multi-Institutional Phantom Dataset

Authors: John M. Boone, Andrew M. Hernandez, Paul E. Kinahan, Michael F. McNitt-Gray, Jeffrey H. Siewerdsen, Ali Uneri

Affiliation: University of California, Johns Hopkins Univ, UT MD Anderson Cancer Center, David Geffen School of Medicine at UCLA, University of Washington, UC Davis Health

Abstract Preview: Purpose: Measuring image quality (IQ) in large clinical databases, such as the Medical Imaging and Data Resource Center (MIDRC), is challenging due to the inherent complexity of image content and the ...

Image Similarity Measurement Based on Handcrafted and Deep Learning Radiomics

Authors: John Ginn, Chenlu Qin, Deshan Yang

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

Abstract Preview: Purpose: Clinical implementation of auto-segmentation tools has been hindered by poor interpretability and generalizability of AI models, necessitating the development of automated contour quality ass...

Imaging Performance of Direct-Indirect Dual-Layer Flat-Panel-Detector Prototypes for Contrast-Enhanced Digital Mammography

Authors: Salman M. Arnab, Yves Chevalier, Samuel Gagné, Adrian F. Howansky, Luc Laperrière, Xiangyi Wu, Wei Zhao

Affiliation: Stony Brook Medicine, Analogic Canada

Abstract Preview: Purpose: A direct-indirect dual-layer flat-panel-detector (DI-DLFPD) is under development for patient motion artifact-free contrast-enhanced digital mammography (CEDM). DI-DLFPD comprises a direct fro...

Impac of Respiratory Motion on Dosimetric and Biological Outcomes in Lung Cancer SIB-SBRT: A 4D Dose Calculation Approach

Authors: Xiangli Cui, Lingling Liu

Affiliation: Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Hefei Cancer Hospital, Chinese Academy of Sciences

Abstract Preview: Purpose:
Respiratory motion introduces substantial dose uncertainties in lung cancer radiotherapy, particularly affecting dose distribution in Simultaneous Integrated Boost-Stereotactic Body Radiot...

Impact of Beamline Mis-Adjustment Following Central Beamline Replacement for Halcyon Linear Accelerator

Authors: Emily Y. Hirata, Xiaoyu Sherry Liu, Evan Porter, Manju Sharma

Affiliation: University of California San Francisco, University of California, San Francisco, University of California

Abstract Preview: Purpose: Introduced in 2018, the Varian Halcyon platform has increased in popularity due to its reduced cost, user-friendly design, and operational efficiency. As this platform ages, major repairs, in...

Implementing Equity, Diversity, and Inclusion in Medical Physics Education: The Role of AI-Powered Chatbots

Authors: James Chun Lam Chow, Kay Li

Affiliation: University of Toronto, Princess Margaret Cancer Centre

Abstract Preview: Purpose: This study aims to integrate Equity, Diversity, and Inclusion (EDI) principles into AI-driven educational tools for medical physics. The goal is to create a chatbot framework that fosters acc...

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 Post-SRS Brain Metastasis Radionecrosis Diagnosis Accuracy Via Deep Feature Space Analysis

Authors: Evan Calabrese, Scott R. Floyd, Kyle J. Lafata, Zachary J. Reitman, Eugene Vaios, Chunhao Wang, Lana Wang, Deshan Yang, Zhenyu Yang, Jingtong Zhao

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

Abstract Preview: Purpose:
This study proposes a novel neural ordinary differential equation (NODE) framework to distinguish post-SRS radionecrosis from recurrence in brain metastases (BMs). By integrating imaging f...

Intelligent Black Box Recording for Radiation Therapy: Feasibility Study of Vision-Language Models for Treatment Monitoring.

Authors: Wookjin Choi, James M. Lamb, David Romanofski, David H. Thomas, Yevgeniy Vinogradskiy

Affiliation: Drexel, Department of Radiation Oncology, University of California, Los Angeles, Thomas Jefferson University

Abstract Preview: Purpose: To develop an intelligent Black Box Recorder for radiation therapy (RT) that monitors patient treatments using a vision language model.
Methods: The system captures synchronized screen rec...

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...

Intraoperative Dynamic Contrast-Enhanced Fluorescence Imaging in Quantifying Tissue Perfusion of Amputation Patients

Authors: Logan M. Bateman, Xu Cao, Jonathan T. Elliott, Lillian A. Fisher, Ida Leah Gitajn, Xinyue Han, Eric R. Henderson, Shudong Jiang, Jessica M. Sin, Yue Tang

Affiliation: Dartmouth College, Dartmouth-Hitchcock Medical Center

Abstract Preview: Purpose: Adequate tissue perfusion is essential for fracture healing and infection prevention, as it supplies oxygen, nutrients and antibiotics to the injury area. However, current methods of assessin...

Investigating Microcalcification Detectability in a Static Breast Cone Beam CT Via Monte Carlo Simulation

Authors: Ahad Ollah Ezzati, Xiaoyu Hu, Xun Jia, Youfang Lai, Kai Yang, Yuncheng Zhong

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

Abstract Preview: Purpose: Gantry motion and patient breathing during a breast cone beam CT (bCBCT) scan is one of the major challenges for microcalcification (μCalcs) detection. By deploying a large number of individu...

Investigating X-Ray Flash Effect on Plasmid DNA with Combined Microscopic Monte Carlo and Analytical Simulations

Authors: Xun Jia, Youfang Lai

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

Abstract Preview: Purpose: Ultrahigh dose rate FLASH (>40 Gy/s) radiotherapy (RT) has attracted significant attention. The mechanism remains unclear, hindering clinical translation. This study investigated the behavior...

Investigation and Machine-Learning Modeling of Dosimetric Discrepancies in Eclipse-Calculated Head and Neck Treatment Plans

Authors: Andres Portocarrero Bonifaz, Ian Schreiber

Affiliation: CARTI Cancer Center

Abstract Preview: Purpose: To explore how calculation grid resolution, along with other planning factors, affects head and neck dose calculation accuracy and contributes to potential discrepancies in the Eclipse Treatm...

Investigation of Flash Proton Irradiation Induced DNA Double Strand Breaks Under Different Free Radical Scavenger Environments

Authors: Hansong Bai, Peter Jermain, Xun Jia, Heng Li, Devin Miles, Daniel Sforza, Michael H. Shang, Daniel Robert Strauss, Keith Unger, Lingshu Yin

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

Abstract Preview: Purpose: To investigate DNA Double Strand Break (DSB) induced by FLASH proton irradiation in a repair-free plasmid DNA model under different free radical scavenging conditions in plateau and Bragg pea...

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...

Key Tumor Volume Zones for Advancing the Radiomics-Based Distant Recurrence Prediction

Authors: Ryan Alden, Tithi Biswas, Kaushik Halder, Felix Maria-Joseph, Michael Mix, Rihan Podder, Tarun Kanti Podder

Affiliation: SUNY Upstate Medical University, IIT-Roorkee, University of Florida

Abstract Preview: Purpose: Radiomics feature-based model for predicting distant recurrence can potentially provide critical insight for clinical decision-making and assistance in treatment strategies. This study focuse...

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...

Large Scale Deployment of a Tailored and Hybrid Educational Strategy for Wartime Capacity Building: Aapm/HUG/Uamp Initiative to Transition Ukraine from Co-60 to IMRT through a Comprehensive Medical Physics Training Program

Authors: Victoria Susan Ainsworth, Stephen M. Avery, Serhii Brovchuk, Thomas Brown, Sean A. Dresser, Matthew D. Goss, Viktor M. Iakovenko, Kelly Kisling, Nataliya Kovalchuk, Robert F. Krauss, Wilfred F. Ngwa, Jatinder R. Palta, Julie A. Raffi, Peter Allan Sandwall, Natalka Suchowerska, William Swanson, Shada J. Wadi-Ramahi, Ruslan Zelinskyi

Affiliation: Allegheny Hospital, Johns Hopkins University, Virginia Commonwealth University, Stanford University, O.O. Shalimov National Institute of Surgery and Transplantology, Department of Radiation Oncology, UT Southwestern Medical Center, School of Physics, The University of Sydney, MaineHealth, University of California, San Diego, Duke University, Emory University, University of Pennsylvania, University of Pittsburgh Medical Center, Medical Physics Department, Medical center of Yuriy Spizhenko, OhioHealth, University of Massachusetts Lowell, St. Francis Hospital

Abstract Preview: Purpose: The AAPM International Council, in collaboration with Help Ukraine Group (HUG) and Ukrainian Association of Medical Physicists (UAMP), developed a novel hybrid year-long training course to as...

Latest Advancements in AI for x-Ray Breast Imaging

Authors: Ioannis Sechopoulos

Affiliation: Radboud University Medical Center

Abstract Preview: N/A...

Lesion Detection in Contrast Enhanced Cone Beam Breast CT with a Photon Counting Detector: A Monte Carlo Study

Authors: Ahad Ollah Ezzati, Xiaoyu Hu, Xun Jia, Youfang Lai, Kai Yang, Yuncheng Zhong

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

Abstract Preview: Purpose: Contrast-enhanced breast cone-beam computed tomography (bCBCT) provides high-resolution, 3D imaging of breast tissues with improved differentiation between normal and abnormal tissues. Curren...

Long-Term Stability Assessment of an Imaging Ring System Using One Year of Monthly Quality Assurance Data

Authors: Awens Alphonse, Nebi Demez, Brian P. Laffey, Shyam Pokharel, Suresh Rana, Nishan Shrestha

Affiliation: Lynn Cancer Institute, Boca Raton Regional Hospital, Baptist Health South Florida

Abstract Preview: Purpose: The Imaging Ring is a mobile digital X-ray system capable of producing 2D planar X-rays, fluoroscopy, and 3D Cone-Beam Computed Tomography (CBCT) images. This study aimed to evaluate the long...

MRI Radiomics-Based Machine Learning Model for Predicting BNCT Treatment Response in Glioblastoma

Authors: Huang Chi-Shiuan, Wu Chih-Chun, Hui-Yu Cathy Tsai, Chen Yan-Han, Chen Yi-Wei, Pan Yi-Ying

Affiliation: Institute of Nuclear Engineering and Science, National Tsing Hua University, Taipei Veterans General Hospital, Tri-Service General Hospital

Abstract Preview: Purpose:
This study aims to develop and validate a machine learning (ML) model based on MRI-derived radiomic features to predict progressive disease (PD) in glioblastoma (GBM) patients four months ...

Management of 4D CBCT Dose for Patients with Implanted Cardiac Devices

Authors: Won Chang, Vadim L. Stakhursky, Yevgeniy Vinogradskiy

Affiliation: Jefferson Einstein, Alliance Cancer Specialists, Thomas Jefferson University

Abstract Preview: Purpose: 4DCBCT is a powerful tool for localization of moving targets when treating lung tumors with hypofractionated regimens (SBRT). However, for patients with implanted cardiac devices (ICD) in clo...

Material Decomposition with Propagation-Based X-Ray Phase Contrast: A Comparison of Multi-Energy and Multi-Distance Imaging

Authors: Giavanna Luisa Jadick, Patrick J La Riviere

Affiliation: University of Chicago

Abstract Preview: Purpose: We assess two multi-measurement acquisition schemes for material decomposition with x-ray phase-contrast imaging (XPCI); demonstrating for the first time that multi-distance imaging can match...

Maximizing Integrated Treatment Planning Tools to Increase Automation for X-Ray-Based Adaptive Lung Sabr

Authors: Shahed Badiyan, Chien-Yi Liao, Mu-Han Lin, David D.M. Parsons, Justin D. Visak, Brien Timothy Washington, Kenneth Westover, Yuanyuan Zhang

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

Abstract Preview: Purpose: Adaptive radiotherapy (ART) programs are resource-intensive due to their technical complexities, requiring highly skilled planners. Leveraging integrated automated treatment planning system (...

Muilt-Instance Learning Model with 2D and 3D Features Representation and Transformer-Based Prediction for FDG PET Tumor Chemoradiation Response of La-NSCLC

Authors: Stephen R. Bowen, Chunyan Duan, Daniel S. Hippe, Qiantuo Liu, Jiajie Wang, Shouyi Wang, Faisal Yaseen, Han Zhou

Affiliation: Tongji University, University of Washington, Department of Radiation Oncology, Fred Hutchinson Cancer Center, University of Washington, Fred Hutchinson Cancer Center, University of Texas at Arlington

Abstract Preview: Purpose: Predicting the effects of the spatial-temporal tumor response to chemoradiation can assist in adjusting radiation dose and support clinical decision-making in radiotherapy. A multi-instance l...

Multimodal Attention Fusion Model Leveraging Structured and Unstructured EHR Data for Hospital Readmission Prediction in Head and Neck Cancer

Authors: Shreyas Anil, Jason Chan, Arushi Gulati, Yannet Interian, Hui Lin, Benedict Neo, Andrea Park, Bhumika Srinivas

Affiliation: Department of Otolaryngology Head and Neck Surgery, University of California San Francisco, Department of Data Science, University of San Francisco, Department of Radiation Oncology, University of California San Francisco

Abstract Preview: Purpose: Hospital readmission prediction models often rely on structured Electronic Health Record (EHR) data, overlooking critical insights from unstructured clinical notes. This study presents a mult...

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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 PeruŔko, 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 Tübingen, 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...

Nausea, Heartburn, K-Edge Imaging: Pepto Bismol As a CT Contrast Agent

Authors: Magdalena Bazalova-Carter, Ross I. Berbeco, James Day, Xinchen Deng, Chelsea Amanda Saffron Dunning, Dianne M. Ferguson, Matthew W. Jacobson, Toby Morris, Marios Myronakis, Jericho Daniel O'Connell, Fides Schwartz, Jainil Shah, Aaron Sodickson

Affiliation: Brigham and Womens Hospital, University of Massachsetts Lowell and Dana-Farber Cancer Institute Boston, Medical Physics Department, Medical School, University of Thessaly, Brigham and Women's Hospital, Harvard Medial School, Dana-Farber Cancer Institute, Department of Radiation Oncology, University of Washington, University of Victoria, Siemens Healthineers, Dana Farber/Brigham and Women's Cancer Center, Brigham and Women's Hospital

Abstract Preview: Purpose: While CT imaging has advanced with improved machine design, we propose further gains can be achieved by enhancing sensitivity to contrast agents. Current CT sensitivity is limited to 1% bismu...

Navigating Radiotherapy Ethics with Generative AI: Geoffrey Hinton's Warnings Regarding Relying Totally on Insights from AI Models

Authors: James Chun Lam Chow, Kay Li

Affiliation: University of Toronto, Princess Margaret Cancer Centre

Abstract Preview: Purpose: This study explores the caution needed when using Generative AI for assessing radiotherapy ethics, highlighting Geoffrey Hinton’s warnings about the risks of relying solely on AI for ethical ...

Next Generation Nanoparticles for Fractionated MRI-Guided Radiation Therapy

Authors: Stephanie Bennett, Ross I. Berbeco, Guillaume Bort, Needa Brown, Lena Carmes, Sandrine Dufort, Michael John Lavelle, Geraldine Le Duc, Francois Lux, Toby Morris, Zeinaf Muradova, Andrea Protti, Olivier Tillement

Affiliation: University de Lyon, NH TherAGuIX, University of Massachsetts Lowell and Dana-Farber Cancer Institute Boston, Department of Radiation & Cellular Oncology, University of Chicago, University of Central Florida, Department of Radiation Oncology, Dana-Farber/Brigham and Women’s Cancer Center, Harvard Medical School, NH TherAguix, Universite de Lyon, Brigham and Women's Hospital, Dana-Farber Cancer Institute

Abstract Preview: Purpose: AGuIX is a theranostic Gd-based nanoparticle currently under phase-2 clinical testing where patients receive 2-3 doses at 1-week intervals prior to imaging and irradiation. AGuIX-Bi is a new ...

Non-Invasive Photoacoustic Thermometry for Real-Time Monitoring of Tissue Temperature Using Frequency Analysis

Authors: Hisham Assi, Lexi Dowdy, Muhannad N. Fadhel, Michael C. Kolios, Carl Kumaradas, Rasha S Makkia, Tanay N Mannikar

Affiliation: Toronto Metropolitan University, Augusta University, Institute for Biomedical Engineering, Science and Technology (iBEST), Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Northwestern University, Medical College of Georgia, Augusta University

Abstract Preview: Introduction: Hyperthermia is an emerging strategy for cancer treatment due to its few side effects and low cost. Hyperthermia is used in conjunction with other treatments, such as radiation therapy, ...

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...

Online Active Learning Strategies for Global Medical Physics Education: A Scoping Review

Authors: Mary Gronberg, Kelly Kisling, Ana Maria Marques da Silva

Affiliation: University of California, San Diego, The University of Texas Southwestern Medical Center, Pontifical Catholic University of Rio Grande do Sul

Abstract Preview: Purpose: To evaluate the current status of online teaching in medical physics and identify effective active learning strategies for global medical physics education.
Methods: A scoping review was c...

Optimizing Design to Enhance the Energy Separation in a Kv Dual-Layer Imager (DLI)

Authors: Ross I. Berbeco, Vera Birrer, Raphael Bruegger, Pablo Corral Arroyo, Roshanak Etemadpour, Dianne M. Ferguson, Rony Fueglistaller, Thomas C. Harris, Yue-Houng Hu, Matthew W. Jacobson, Mathias Lehmann, Nicholas Lowther, Daniel Morf, Marios Myronakis

Affiliation: Brigham and Women's Hospital, Harvard Medial School, Dana-Farber Cancer Institute, Department of Radiation Oncology, Dana Farber/Brigham and Women's Cancer Center, Department of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Brigham and Womens Hospital, Dana Farber Cancer Institute, Harvard Medical School, Brigham and Women's Hospital, Varian Imaging Laboratory, Dana-Farber Cancer Institute

Abstract Preview: Purpose: Multi-layer flat-panel imagers can improve for clinical image-guided radiotherapy applications, including the enhanced visualization of soft tissue and a reduction in image artifacts. Each im...

Optimizing Dose Coverage and Mitigating Electron Return Effects and Electron Stream Effects in MR-Linac Treatment of Extremity Malignancies: The Impact of Bolus and Gel Use

Authors: Kin Yin Cheung, Chen-Yu Huang, Chi Wah Kong, Ka Ki Lau, Pei-Xiong Li, Darren M. C. Poon, Bin Yang, Siu Ki Yu, Jing Yuan, Chi To Yung, Shang Peng Felix Yung

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

Abstract Preview: Purpose: This study investigates optimal treatment strategies utilizing MR-linac for extremity lesions, with a specific focus on a 0.6 cm deep lesion in the right palm. The magnetic field-induced dose...

Pancrea-Seg-Net: A Semi-Supervised Deep Learning Framework for Pancreatic Tumor and Vessel Segmentation

Authors: Manju Liu, Ning Wen, Fuhua Yan, Yanzhao Yang, Zhenyu Yang, Haoran Zhang, Lei Zhang, Yajiao Zhang

Affiliation: Department of Radiology, Ruijin Hospital Shanghai Jiaotong University School of Medicine, Duke Kunshan University, Medical Physics Graduate Program, Duke Kunshan University

Abstract Preview: Purpose: Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy where precise segmentation of tumors and adjacent vessels is crucial for effective treatment planning. This study dev...

Parameterized Dosimetric Models of the Lumbar Vertebrae for Patient-Informed Active Marrow Dosimetry in Radiopharmaceutical Therapy

Authors: Wesley E. Bolch, Chansoo Choi, Robert Joseph Dawson, Michael Lassmann, Maikol Salas-Ramirez, Bangho Shin, Johannes Tran-Gia, Yitian Wang

Affiliation: Department of Nuclear Medicine, University Hospital Würzburg, University of Florida

Abstract Preview: Purpose: Conduct a parameterized library of mesh-type skeletal models across the lumbar vertebrae. In radiopharmaceutical dosimetry, the hematopoietic active bone marrow is typically a dose-limiting n...

Patient-Specific Orthogonal Projection Based Real-Time Volumetric X-Ray Imaging for Proton Therapy

Authors: Hao Chen, Kai Ding, Xiaoyu Hu, Xun Jia, Heng Li, Devin Miles

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: Accurately delivering radiation dose is critical in intensity-modulated proton therapy (IMPT), where intrafraction motion management plays a pivotal role. Our proton therapy system equipped x...

Practical Techniques for Implementing New Technologies for Medical Physicists: Sittig and Singh’s Sociotechnical Model

Authors: Stephen F. Kry, Andrea Molineu

Affiliation: The University of Texas MD Anderson Cancer Center, UT MD Anderson Cancer Center

Abstract Preview: Purpose: This study aims to introduce knowledge and tools from the fields of implementation science and change management to the medical physicist.
Methods: Medical physicists often implement new t...

Predicting CBCT-Based Adaptive Radiation Therapy Session Duration Using Machine Learning

Authors: Leslie Harrell, Sanjay Maraboyina, Romy Megahed, Maida Ranjbar, Xenia Ray, Pouya Sabouri

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

Abstract Preview: Purpose: Real-time adaptive radiation therapy (ART) dynamically modifies patients’ treatment plan during delivery to account for anatomical and physiological variations. Addressing ART planning time v...

Predicting Hormone Receptor Status in Breast Cancer Using Mammographic and Sonographic Data and Machine Learning Models

Authors: Zahra Bagherpour, Manijeh Beigi, Pedram Fadavi, Faraz Kalantari, Moghadaseh Khaleghibizaki, Hengameh Nazari, Mojtaba Safari, Sepideh Soltani

Affiliation: Department of Radiation Oncology, School of Medicine, Iran University of Medical Sciences, Department of Radiation Oncology, School of Medicine, Emory University and Winship Cancer Institute, Department of Radiation Oncology, Iran University of Medical Sciences, University of Arkansas for medical sciences, Department of Radiation physics, The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences

Abstract Preview: Purpose: This study aims to evaluate whether readily available mammographic and sonographic data, combined with machine learning (ML) models, can predict critical molecular factors (ER, PR, HER2) in b...

Preliminary Clinical Experience with MRI-Guided Online Adaptive Radiotherapy for Esophageal Cancer Patients

Authors: Ali Hosni, Oleksii Semeniuk, Andrea Shessel, Teo Stanescu

Affiliation: Princess Margaret Hospital, Princess Margaret Cancer Centre, Brown University Health

Abstract Preview: Purpose: To report on early clinical experience with a two-phase radiotherapy approach for esophageal cancer patients, utilizing CBCT-based conventional C-arm linear accelerator radiotherapy and MR-gu...

Preliminary Evaluation of a Gpτ-Based Medical Physics Education Tool

Authors: Ramesh Boggula, Jay W. Burmeister, Michael Joiner

Affiliation: Wayne State University, Karmanos Cancer Center, Gershenson ROC, Wayne State University School of Medicine

Abstract Preview: Purpose: Recent advances in large language models such as ChatGPT offer new possibilities for supplementing traditional teaching methods. In this study, we developed a custom GPT-powered tool freely a...

Presenting a Novel Treatment Scheme for Debulking Unresectable Large Tumors: Feasibility, Safety and Patient Reported Early Clinical Outcomes of SBRT Immediately Post-Spatially Fractionated Radiotherapy Delivery

Authors: James Knight II, Joshua Misa, Damodar Pokhrel, William St Clair, Eddy S Yang

Affiliation: University of Kentucky, Department of Radiation Medicine, University of Kentucky, Radiation Medicine

Abstract Preview: Purpose: Highly-heterogenous sieve-like dose distribution via SFRT to large/bulky tumors (≄6 cm) could enhance tumor cell-death via both direct/indirect cell-kill mechanisms. Adding highly-conformal S...

Principles of Medical Imaging: An AI-Driven Interdisciplinary Course Bridging Academia, Industry, and Clinical Practice

Authors: Ning Wen, Zheyu Zhang

Affiliation: Department of Radiology, Ruijin Hospital Shanghai Jiaotong University School of Medicine, Shanghai Jiaotong University

Abstract Preview: Purpose: The graduate course, ā€œPrinciples of Medical Imaging,ā€ aims to advance imaging technology by integrating artificial intelligence (AI) into medical imaging. It bridges interdisciplinary fields,...

QA Your Way: A Customizable 3D Printed CT Simulator Monthly QA Phantom

Authors: Paul J. Black, Jordan B Lunsford, James D. Ververs, India Wood

Affiliation: Atrium Health Wake Forest Baptist, Wake Forest University School of Medicine, Wake Forest School of Medicine

Abstract Preview: Purpose:
To develop a 3D-printed modular CT simulator phantom that allows the assessment of all AAPM TG-66 recommended monthly quality assurance (QA) tests.
Methods:
A modular CT simulator mo...

Quantification of Iodine and Calcium Materials through HU Spectral Curve Analysis in Dual-Energy CT for Radiotherapy Planning

Authors: Sean L. Berry, Weixing Cai, Laura I. Cervino, Maria F. Chan, Yabo Fu, Puneeth Iyengar, Hsiang-Chi Kuo, Nancy Lee, Tianfang Li, Xiang Li, Jean M. Moran

Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Memorial Sloan Kettering Cancer Center

Abstract Preview: Purpose: Iodine maps derived from Dual-Energy CT (DECT) provide critical biological information for radiotherapy treatment planning, but clinical iodine maps often mistakenly include bones due to insu...

Quantitative Forward Modeling of Propagation-Based X-Ray Phase-Contrast Imaging at Clinical Scale

Authors: Giavanna Luisa Jadick, Patrick J La Riviere, Cailey Riggs

Affiliation: University of Chicago

Abstract Preview: Purpose: We explore the accuracy of physics models for propagation-based x-ray phase-contrast imaging (XPCI) with an eye to future clinical implementation, providing a practical assessment of detectio...

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...

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...

Realistic Modeling of Vasculature Flow and Oxygen Distribution in Normal Tissue and Glioblastoma

Authors: Yi Fan, Andrew Friberg, Costas Koumenis, Kevin Teo, Ioannis I Verginadis, Ledi Wang, Jennifer Wei Zou

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

Abstract Preview: Purpose: Glioblastomas (GBM) are aggressive and lethal malignancies characterized by their highly refractory nature, contributing to a five-year survival rate of approximately 7%. Physically, GBM exhi...

Reasoning-Driven Prompts Improve EHR-Based Outcome Prediction and Clinical Interpretability in Large Language Models

Authors: Shreyas Anil, Jason Chan, Arushi Gulati, Yannet Interian, Hui Lin, Benedict Neo, Andrea Park, Bhumika Srinivas

Affiliation: Department of Otolaryngology Head and Neck Surgery, University of California San Francisco, Department of Data Science, University of San Francisco, Department of Radiation Oncology, University of California San Francisco, University of San Francisco

Abstract Preview: Purpose: As Large Language Models (LLMs) continue to evolve, their ability to analyze Electronic Health Record (EHR) notes for clinical decision support expands. Chain of Thought (COT) reasoning, an e...

Redesigning the CT Protocol Intranet: Solutions for Improved Access and User Engagement

Authors: Emi Ai Eastman, Vu Nguyen, Alexander W. Scott, Lucien Zang, Yifang (Jimmy) Zhou

Affiliation: Cedars-Sinai Medical Center

Abstract Preview: Purpose:
Three key features were developed to substantially improve a previously in-house developed CT protocol website: a structured backend for efficient protocol creation and edit; the ability t...

Research on Multi-Organ Segmentation Based on Cross-Domain Transfer Learning

Authors: Jiali Gong, Yi Guo, Chi Han, Wanli Huo, Hongdong Liu, Zhao Peng, Yaping Qi, Zhaojuan Zhang

Affiliation: Department of Radiotherapy, cancer center, The First Affiliated Hospital of Fujian Medical University, Department of Oncology, Xiangya Hospital, Central South University, 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, China Jiliang University, Division of lonizing Radiation Metrology, National Institute of Metrology, Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, College of Information Engineering, China Jiliang University, the Zhejiang-New Zealand Joint Vision-Based Intelligent Metrology Laboratory, College of Information Engineering, China Jiliang University

Abstract Preview: Purpose: To address overfitting from limited training data in multi-organ segmentation, an efficient transfer learning framework is proposed. It reduces reliance on training samples, enabling a single...

Retrospective Study Using Avi Planner for Head and Neck Cancer Cases: Our Experience at Nsia-Luth Cancer Center, South - West Nigeria

Authors: Adebayo Abe, Samuel Olaolu Adeneye, Eben Aje, Bidemi I. Akinlade, Inioluwa Damilola Ariyo, Lilian Ekpo, Muhammad Habeebu, Adedayo O. Joseph, Charles S. Mayo, Noah Ndianaobong, Ikechi S Ozoemelam, Margaret Dideolu Taiwo, Godwin Uwagba

Affiliation: University of Michigan, University of Ibadan, University of Lagos, Missouri University of Science and Technology, NSIA-LUTH Cancer Center, University of Lagos, NSIA-LUTH Cancer Centre, NSIA-LUTH Cancer Center

Abstract Preview: Purpose:
Head and neck cancers (HNC) present significant challenges in radiotherapy due to complex anatomy and the proximity to critical organs at risk (OARs). These challenges are compounded in na...

Robustness Evaluation of Dynamic Arc Proton Therapy: A Comparative Analysis of Small and Large Spot Sizes in Lung and Prostate Cancer Planning

Authors: Awens Alphonse, Nebi Demez, Michael Kasper, Noufal Manthala Padannayil, Shyam Pokharel, Suresh Rana, Hina Saeed, Gagandeep Saini, Nishan Shrestha, Somol Sunny

Affiliation: Lynn Cancer Institute, Boca Raton Regional Hospital, Baptist Health South Florida

Abstract Preview: Purpose: This study evaluates the robustness of DynamicARC proton therapy plans for lung and prostate cancer, comparing small spot size (SS) and large spot size (LS) plans under nominal and worst-case...

SPECT/CT Multimodal Segmentation of Bone Marrow for Theranostic Dosimetry

Authors: Tommaso Frigerio, Joshua Genender, John M. Hoffman, Catherine (Caffi) Meyer

Affiliation: UCLA, David Geffen School of Medicine at UCLA

Abstract Preview: Purpose: Accurate bone marrow segmentation is required for bone marrow dosimetry to monitor for dangers in PSMA-Lu177 radioligand therapy. We introduce a hybrid (AI/semantic knowledge) segmentation pi...

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...

Secondary Neutron Dosimetry of Cieds Exposed to Neutron-Producing Photon 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: A growing number of radiation therapy (RT) patients have cardiovascular implantable electronic devices (CIEDs). Patients with CIEDs must be carefully managed because the devices are susceptib...

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 Quad-Shot Radiotherapy: Automated Workflow Enables Same-Day Treatment for Palliative Lung Cancer

Authors: Laura I. Cervino, Sharif Elguindi, Yu-Chi Hu, Licheng Kuo, Xiaoning Liu, Jennifer Ma, Pengpeng Zhang

Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Radiation Oncology, Memorial Sloan Kettering Cancer Center

Abstract Preview: Purpose:
Quad-shot radiotherapy (QSRT) is an emerging paradigm in palliative cancer treatment. This study aimed to streamline the QSRT workflow using automation to improve efficiency while maintain...

Surface Dose Distribution Analysis Using Cherenkov Imaging for Total Skin Electron Therapy (TSET) with Scintillator and Osld Validation

Authors: Baozhu Lu, Hongjing Sun, Timothy C. Zhu, Yifeng Zhu

Affiliation: University of Pennsylvania

Abstract Preview: Purpose: This study aims to validate the feasibility of using Cherenkov imaging for surface dose distribution measurement during Total Skin Electron Therapy (TSET) by developing a perspective-correcte...

Text-Conditioned Latent Diffusion Model for Synthesis of Contrast-Enhanced CT from Non-Contrast CT

Authors: Yizheng Chen, Michael Gensheimer, Mingjie Li, Lei Xing

Affiliation: Department of Radiation Oncology, Stanford University

Abstract Preview: Purpose: Automatically translating non-contrast to contrast-enhanced computed tomography (CT) images is critical for improving clinical workflow, reducing heathcare cost, minimizing radiation exposure...

The Dosimetric and Dose RATE Characteristics for Bragg Peak Proton MINI-Ridge Filter Flash in Comparison to Conventional Proton and Filter Free Flash for Breast and Prostate

Authors: Jenghwa Chang, Chingyun Cheng, J Isabelle Choi, Muhammad Hamza, Minglei Kang, Tyler Kaulfers, Grant Lattery, Haibo Lin, Charles B. Simone, Xingyi Zhao

Affiliation: Peking University, Hofstra University Medical Physics Program, New York Proton Center, Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, Physics and Astronomy, Hofstra University, Physics Resident at Montefiore Einstein, Department of Human Oncology, University of Wisconsin-Madison

Abstract Preview: Purpose: In terms of high dose rate FLASH, the question remains on how to properly deliver treatment and what clinical sites are feasible to deliver such treatment. The novel Bragg peak (BP-FLASH) and...

The Z Dimension Matters: 3D Noise Power Spectrum of a Clinical Photon Counting Detector CT System

Authors: Frank F. Dong, Megan C. Jacobsen, Ke Li, Xinming Liu, Humberto Monsivais, John Rong

Affiliation: Purdue University, UT MD Anderson Cancer Center

Abstract Preview: Purpose: To investigate the noise characteristics of a clinical photon counting detector CT (PCD-CT) system along axial and through-plane (Z) dimensions using 3D NPS measurements.
Methods: This stu...

Topas-Nbio – Status and Outlook after a Decade of Developments

Authors: Alejandro Bertolet, Jorge Naoki Dominguez Kondo, Bruce A. Faddegon, Kathryn D Held, Nicolas Henthorn, Jay LaVerne, Thongchai Masilela, Stephen J. McMahon, Isaac Meyer, Victor V. Onecha, Harald Paganetti, Jose A. Ramos-Mendez, Jan PO Schuemann, Wook-Geun Shin, Michael Taylor, John Warmenhoven

Affiliation: Massachusetts General Hospital, Queen's University Belfast, Massachusetts General Hospital and Harvard Medical School, University of California San Francisco, University of Manchester, Notre Dame University

Abstract Preview: Purpose: TOPAS-nBio brings a cutting-edge Monte Carlo (MC) simulation framework to the research community to test hypotheses of radiation effects at the nanometer/cell scale. Here, we present the deve...

Toward Harmonized AI-Based Quantitative CT: A Voxel-Printed, Patient Specific Phantom for Cross-Platform Harmonization

Authors: Aditya P. Apte, Joseph O. Deasy, Yusuf Emre Erdi, Anqi Fu, Johannes Hertrich, Andrew Jackson, Usman Mahmood, Jason Ocana, Trahan Sean, Amita Shukla-Dave

Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center

Abstract Preview: Purpose: Automated AI-based quantitative CT tools hold immense promise for advancing clinical decision-making, yet their reproducibility and generalizability remain vulnerable to variability in imagin...

Towards AI Decision-Support for Online Adaptive Radiotherapy (oART): A Preliminary Study on CBCT-Guided Post-Prostatectomy Oart

Authors: Michael Cummings, Olga M. Dona Lemus, Hana Mekdash, Tyler Moran, Alexander R Podgorsak, Sean M. Tanny, Matthew J. Webster, Lexiang Yang, Dandan Zheng, Yuwei Zhou, Xiaofeng Zhu

Affiliation: Department of Radiation Oncology, University of Rochester, University of Miami, Inova Schar Cancer Institute, University of Rochester

Abstract Preview: Purpose: oART is revolutionizing radiotherapy by allowing treatment plans to be adjusted based on daily imaging, improving targeting precision and potentially enhancing patient outcomes. However, its ...

Ukan Architecture for Voxel-Level Dose Prediction in Radiotherapy

Authors: Lu Jiang, 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:
Conventional radiotherapy treatment planning is guided by a set of generic objectives that are unspecific to patient anatomy. Treatment planning thus heavily relies on the planner’s experi...

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 Range Modulators for Flash Proton Therapy: 3D Printing of Stackable Variable Density Units

Authors: Eric S. Diffenderfer, Lei Dong, Alejandro Garcia, Wenbo Gu, Michele M. Kim, Alexander Lin, Kai Mei, Peter B. Noƫl, Boon-Keng Kevin Teo, Lingshu Yin, Jennifer Wei Zou

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

Abstract Preview: Purpose: We present a novel 3D-printed range-modulating devices with spatially modulated density for FLASH particle therapy. By varying density distributions, spread-out Bragg peaks(SOBPs) can be gene...

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...

Use of Radiopaque Rectal Spacer for IGRT – a Preliminary Analysis of Alignment Accuracy and Interobserver Variability

Authors: Joseph A. Miccio, Nicholas J. Potter, Zain Siddiqui

Affiliation: Penn State Health Milton S. Hershey Medical Center

Abstract Preview: Purpose: Fiducial markers are the gold standard for prostate alignment during CT-based image-guided radiotherapy (IGRT). Radiopaque hydrogel rectal spacers reduce rectal toxicity by displacing the rec...

Using Varian’s Obi Tools to Develop a CBCT Workflow with Triggered Imaging for Spine SBRT Intrafraction Motion Monitoring

Authors: Yi An, David J. Carlson, Zhe (Jay) Chen, Jun Deng, Dae Yup Han, Sameer Taneja

Affiliation: Yale School of Medicine, Yale University School of Medicine, Department of Therapeutic Radiology, Yale University School of Medicine

Abstract Preview: Purpose: Spine Stereotactic radiosurgery (SSR) delivers a large radiation dose and utilizes narrow PTV margins, on the order of 1 mm, to avoid excess dose to the spinal cord. Because of this, intrafra...

Using a-Si 1200 Epid Portal Dosimetry for VMAT Commissioning

Authors: Ryan Burri, Nazanin Hoshyar, Jerry W. McCoy, Yulin Song, Huma Syed

Affiliation: Bay Pines VA Medical Center

Abstract Preview: Purpose: The study aimed to streamline traditionally manual, iterative, and time-consuming VMAT commissioning process. The goal was to identify an optimal set of MLC dosimetric parameters that minimiz...

Using the Liver Dome for Real-Time Respiratory Motion Adaptive Tracking in Cyberknife Stereotactic Body Radiotherapy (SBRT) for Lung Tumors

Authors: Hulya Ozdemir Buss, Julius G. Ojwang, Neelu Soni

Affiliation: Mercy Hospital Springfield

Abstract Preview: Purpose: The CyberKnife (CK) Synchrony system provides sub-millimeter motion-tracking accuracy during stereotactic body radiotherapy (SBRT). For lung tumors near the diaphragm, we evaluated the feasib...

ā€œSeeā€ through Surface: Transforming Surface Imaging into a Real-Time Three-Dimensional Imaging Solution for Intra-Treatment Image Guidance

Authors: Steve B. Jiang, Ruiqi Li, Hua-Chieh Shao, Kenneth Westover, You Zhang, Tingliang Zhuang

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

Abstract Preview: Purpose:
Respiratory motion is a long-standing challenge for lung SBRT, particularly for centrally-located lung tumors where increased toxicity demands more precise motion management during treatme...