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Results for "specific lead": 77 found

3D Printed Electron Block Aperture Generation

Authors: David Chighvinadze, Lisa Czaplicki, Jeremy D. Donaghue, Lama K. Muhieddine Mossolly

Affiliation: Cleveland Clinic Sandusky, Cleveland Clinic Strongsville, Cleveland Clinic Fairview

Abstract Preview: Purpose:
Current electron block generation requires manual cutting of stryofoam and placement for pouring of the block which can lead to possible miscutting of blocks, and non-accurate rotations co...

4D Monte Carlo Dose Evaluation for Mobile Targets in a Magnetic Field

Authors: Odunola Grace Babawale, B. Gino Fallone, Alireza Gazor, Andrei D. Ghila, Patricia A. K. Oliver, Michael W. Reynolds, Keith D. Wachowicz, Tania Rosalia Wood, Shima Y. Tari, Eugene Yip, Jihyun Yun

Affiliation: Nova Scotia Health, Dept. of Medical Physics and Dalhousie University, Dept. of Physics and Atmospheric Science, Dept. of Radiation Oncology, Dept. of Medical Physics, Cross Cancer Institute and Dept. of Oncology, University of Alberta; MagnetTx Oncology Solutions, www.magnetTX.com, Department of Medical Physics, Arthur J. E. Child Comprehensive Cancer Centre, Dept. of Medical Physics, Cross Cancer Institute and Dept. of Oncology, University of Alberta, Department of Medical Physics, BC Cancer, Medical Physics Division, Department of Oncology, University of Alberta and Department of Medical Physics, Cross Cancer Institute

Abstract Preview: Purpose: To evaluate the dose to a moving target and its surroundings in a magnetic field using 4D-Monte-Carlo (MC) simulation.
Methods: The study utilizes a previously validated MC model of our li...

A Motion Analysis of Cardiac Substructures for Guiding Stereotactic Arrhythmia Radiotherapy Motion Management

Authors: Hongyu An, Phillip Cuculich, H Michael Gach, Yao Hao, Trevor McKeown, Clifford Robinson, Yuhao Wang, Deshan Yang

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

Abstract Preview: Purpose: This study investigated cardiac motion characteristics of ventricular tachycardia patients to support patient-specific motion management for stereotactic arrhythmia radiotherapy (STAR) treatm...

A Pilot Study to Implement a Definitive Breast SBRT Technique

Authors: Charmainne Cruje, Maria Dumol, Nawroz Fatima, Marisa Finlay, Kalaina Johnson, Raman Mohla, Jasleen Uppal

Affiliation: Trillium Health Partners, Carlo Fidani Regional Cancer Centre

Abstract Preview: Purpose: To evaluate the robustness of a breast SBRT protocol in achieving target coverage by utilizing online- and retrospectively-matched CBCT-to-CT images.
Methods: The first pilot patient was s...

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

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

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

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

An Adaptive Radiotherapy Strategy Study Based on Segmented Synthesis and Deformational Registration

Authors: Jie Hu, Zhengdong Jiang, Nan Li, Tie Lv, Yuqing Xia, Shouping Xu, Gaolong Zhang, Wei Zhao, Changyou Zhong

Affiliation: School of Physics, Beihang University, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Radiotherapy Department of Meizhou People’s Hospital (Huangtang Hospital), UT Health San Antonio, National Cancer Center/ National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, Peopleʼs Republic of China, Department of Radiation Oncology

Abstract Preview: Purpose: Patients usually undergo cone-beam computed tomography (CBCT) scans which are used for patient set-up before radiotherapy. However, the low image quality of CBCT hinders its use in adaptive r...

An Image Representation of Radiomics Data for Enhanced Deep Radiomics Analysis with Consideration of Feature Interactions

Authors: Xiaolong Fu, Runping Hou, Md Tauhidul Islam, Lei Xing

Affiliation: Department of Radiation Oncology, Stanford University, Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine

Abstract Preview: Purpose: To introduce a novel schematic image representation of radiomics data, called OmicsMap, for high-performance deep radiomics analysis. OmicsMap transforms tabular radiomics data into an image ...

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...

Analysis of the Accuracy of Avatar-Based Patient Positioning Technique for Radiation Therapy

Authors: Danna Gurari, Moyed Miften, Sarah Milgrom, Atharva Rajesh Peshkar, Willem Schreuder, David H. Thomas

Affiliation: University of Colorado Boulder, University of Colorado School of Medicine, University of Colorado Anschutz, Thomas Jefferson University

Abstract Preview: Purpose: To evaluate the accuracy of a novel avatar-based patient positioning technique.

Methods: We developed a modified surface-guided radiation therapy (SGRT) technique, 'Avatar-Guided Radia...

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

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

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

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

Assessment of the Radiological Features of 3D-Printed Polylactic Acid Composites for Creating Personalized Dosimetric Phantoms

Authors: Ashish Binjola, Raj Kishore Bisht, Natanasabapathi Gopishankar, Pratik Kumar, Daya Nand Kishore Sharma, Sukhvir Kishore Singh, Subramani Vellaiyan

Affiliation: Medical Physics Unit, All India Institute of Medical Sciences, All India Institute of Medical Sciences, Department of Radiological Safety, Institute of Nuclear Medicine and Allied Sciences, Department of Radiation Oncology, All India Institute of Medical Sciences

Abstract Preview: Purpose: Additive manufacturing is increasingly being explored to create dosimetry phantoms. Commercial anthropomorphic phantoms represent an average patient and lack anatomical variations due to obes...

Automatic Contour Quality Assurance Using Deep-Learning Based Contours

Authors: Laurence Edward Court, Raphael Douglas, David Fuentes, Anuja Jhingran, Barbara Marquez, Raymond Mumme, Christine Peterson, Julianne M. Pollard-Larkin, Surendra Prajapati, Dong Joo Rhee, Thomas J. Whitaker

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

Abstract Preview: Purpose: Safe deployment of auto-contouring models requires the inclusion of automated quality assurance (QA). One approach is to use an independent auto-contouring model and compare the contours geom...

Automatic Specific Absorption Rate (SAR) Prediction for Hyperthermia Treatment Planning (HTP) Using Deep Learning Method

Authors: Yankun Lang, Lei Ren, Dario B. Rodrigues

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

Abstract Preview: Purpose:
HTP of microwave (MW) phased-array systems determine MW antenna settings to maximize energy absorption (SAR in W/kg) in tumor. Conventional HTP algorithms calculate SAR based on electromag...

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

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

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

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

Characterizing an Osld Dosimetry System for Use in a Multi-Clinic Environment

Authors: Amar K. Basavatia, Lee C. Goddard, Rachel Grimm, Wolfgang A. Tomé

Affiliation: Montefiore Medical Center

Abstract Preview: Purpose: To characterize the “MyOSL Chip” OSLD system for clinical use and compare the response of multiple readers to allow for utilization in a multi-clinic environment.
Methods: Dose calibration...

Characterizing and Modeling Higher-Order Motions of Collimator Subsystem on a 60RPM Gantry Linac for Improved Small Target Dosimetry

Authors: David J. Carlson, Yiu-Hsin Chang, Huixiao Chen, Zhe (Jay) Chen, Blake Gaderlund, Ray Yang

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

Abstract Preview: Purpose: To address the root cause of dosimetric discrepancy for small central targets (<2cm) especially sensitive to geometric alignment of beamlets, by modeling higher-order oscillations of the coll...

Characterizing the Stability of Upright CT for Proton Therapy

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

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

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

Clinical Validation of a Deep-Learning Segmentation Tool for Head and Neck Cancer Patients and Thoracic and Abdominal Cancer Patients

Authors: Haijian Chen, Katja M. Langen, William Andrew LePain, Claire Tran, Mingyao Zhu

Affiliation: Emory Healthcare, Emory University, Georgia Institute of Technology

Abstract Preview: Purpose: To validate the performance of a commercial deep-learning segmentation (DLS) tool for head and neck cancer (HNC) and thoracic and abdominal cancer (TAC) by comparing it to manual segmentation...

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...

Computed Tomography Organ Dose Library Derived from Newly Developed Newborn-Infant-Toddler Computational Phantoms

Authors: Jared Baggett, Wesley E. Bolch, Lukas M. Carter, Robert Joseph Dawson, Laura Dinwiddie, Adam Leon Kesner, Cameron B. Kofler, Juan Camilo Ocampo Ramos, Yitian Wang, Stefan Wehmeier

Affiliation: University of Chicago, Department of Medical Physics, Memorial Sloan Kettering Cancer Center, University of Florida, MD Anderson

Abstract Preview: Purpose: To develop a slice-specific computed tomography (CT) organ dose library using Monte Carlo radiation transport simulations on a newly created set of newborn, infant, and toddler computational ...

Conversion Coefficients from Hp(10) to Organ and Effective Doses for Medical Staff Involved in Fluoroscopically Guided Interventional Procedures

Authors: Stephen Balter, Haegin Han, Cari M Kitahara, Taeeun Kwon, Choonsik Lee, Martha S Linet, Donald L. Miller

Affiliation: Columbia University Medical Center, National Cancer Institute, Food and Drug Administration

Abstract Preview: Purpose: Staff in fluoroscopically guided interventional (FGI) procedures are exposed to radiation. Inhomogeneous radiation fields and variability in procedural conditions make it challenging to deriv...

Deep Learning Aided Oropharyngeal Cancer Autoplanning

Authors: Mark Bowers, Gabriel Carrizo, Jimmy Caudell, Vladimir Feygelman, Kevin Greco, Christian Hahn, Jihye Koo, Kujtim Latifi, Fredrik Lofman, Jacopo Parvizi, Muqeem Qayyum, Caleb Sawyer

Affiliation: RaySearch Laboratories, Moffitt Cancer Center

Abstract Preview: Purpose: Head and neck (H&N) radiotherapy planning is complex, with multiple competing objectives. We endeavored to improve efficiency of planning by developing a deep learning (DL) model trained to p...

Deep Learning Based Automatic Cerebrovascular Segmentation in Multi-Center TOF-MRA Datasets

Authors: Gayoung Kim, Junghoon Lee

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

Abstract Preview: Purpose: 3D time-of-flight magnetic resonance angiography (TOF-MRA) is widely used for visualizing cerebrovascular structures. Accurate segmentation of cerebrovascular structures is critical for relia...

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

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

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

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

Determine the Isocenter and Its Size for MR Linac Unity Part1: (U V) of Cax

Authors: Ting Chen, Siming Lu, Tanxia Qu, Hesheng Wang

Affiliation: NYU Langone Health

Abstract Preview: Purpose: This study, the first in a two-part series, aims to determine the isocenter position and size for the MR Linac UNITY, focusing on the central axis (CAX) alignment of its Multi-Leaf Collimator...

Development of Patient-Specific Lead Ball Compensator for Total Body Irradiation

Authors: Chang Heon Choi, Minjae Choi, Yoonsuk Huh, Jin Jegal, Jung-in Kim, So-Yeon Park

Affiliation: Department of Radiation Oncology, Veterans Health Service Medical Center, Department of Radiation Oncology, Seoul National University Hospital

Abstract Preview: Purpose: Total Body Irradiation (TBI) aims to achieve a uniform dose distribution across the entire body. However, in conventional TBI setups that use extended source-to-surface distance (SSD) and lea...

Development of a Template-Based Planning Workflow for Offline Adaptive Head and Neck Cancer Using Ethos 2.0

Authors: Kaelyn Becker, Xenia Ray

Affiliation: University of California, San Diego, University of California San Diego

Abstract Preview: Purpose: Ethos 2.0 with HyperSight (Varian Medical Systems) imaging enables nearly fully automated offline adaptive radiotherapy including automated deformation of targets and recalculation on the Hou...

Dosimetric Changes of Magnetic Control System to Improve Anatomy in Abdominal SBRT

Authors: Justus Adamson, Wesley Andrew Cunningham, Chang-Sei Kim, Yeongoh Ko, Anna E. Rodrigues

Affiliation: Duke University, Chonnam National University, Duke University Medical Center

Abstract Preview: Purpose: Radiation induced toxicities in bowel remains a challenge for SBRT. Due to sharp dose falloffs, small displacements of the bowel can lead to meaningful dose reduction. Remote magnetic navigat...

Dosimetric Impact of Catheter Length Changes in HDR Brachytherapy for Accelerated Partial Breast Irradiation

Authors: Dylan Richeson, Dorin A. Todor

Affiliation: Inova Schar Cancer Institute, Virginia Commonwealth University

Abstract Preview: Purpose: High dose-rate (HDR) brachytherapy is prone to errors that can lead to incorrect dose delivery and potential medical events. One common issue is applicator length discrepancies, either due to...

Effects of Enhanced Leaf Modeling on Single-Isocenter Multi-Target Stereotactic Radiosurgery Dose Accuracy

Authors: Thomas R. Mazur, Kevin Renick, Matthew C. Schmidt, Xiaodong Neo Zhao

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

Abstract Preview: Purpose: To compare dose calculation accuracy for single-isocenter multi-target stereotactic radiosurgery plans (SIMT-SRS) in Eclipse V18.0 with enhanced leaf model (ELM) using the anisotropic analyti...

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...

Enhanced Surface Dose Accuracy in Proton Treatment Planning: Optimizing External Volume HU Thresholding.

Authors: Michael Butkus, Camilo M. Correa Alfonso, Olga M. Dona Lemus, James Arthur Perez-Sanchez

Affiliation: University of Miami

Abstract Preview: Purpose: Accurate skin dose calculation is essential for treating superficial lesions such as those of the breast, chest wall, and scalp. Clinical treatment planning systems often rely on approximatio...

Evaluating Supervised Learning Models for Binary Classification of Radiomic Data in Predicting Head and Neck Cancer Treatment Outcomes

Authors: Theodore Higgins Arsenault, Kyle O'Carroll, Christian Erik Petersen, Alex T. Price, Meiying Xing

Affiliation: University Hospitals Seidman Cancer Center

Abstract Preview: Purpose: To assess the performance of various supervised learning models’ ability to predict binary classification of radiomic data for head and neck (H&N) cancer treatment outcomes.
Methods: Using...

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

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

Affiliation: Department of Radiation Oncology, University of Rochester

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

Evaluation of Film and 3D Printed Patient-Specific Phantom for Minibeam Radiation Therapy (MBRT) Dosimetry

Authors: Darwin Abraham Garcia, Michael P. Grams, Scott C Lester, Maryam Mashayekhi, Douglas John Moseley, Robert W Mutter, Sean S Park, Chrystian Quintero Mateus

Affiliation: Mayo Clinic - Rochester, Mayo Clinic

Abstract Preview: Purpose: MBRT delivers sub-millimeter wide regions of high “peak” (~10s Gy) and low “valley” (~1 Gy) doses to treat cancer. MBRT commissioning is performed in flat, uniform plastic water. Thus, differ...

Evaluation of the Dosimetric Characteristics of Multi-Layers of Brass Mesh Bolus for Electron Treatment

Authors: Yunzhi Ma, Ling Zhuang

Affiliation: Northwestern Medicine

Abstract Preview: Purpose: Multiple layers of brass mesh bolus (RPD, Inc., Albertville, MN) may be needed to provide better body conformity and sufficient dose build up on patient surface during electron treatment. Thi...

Evolution of Log File-Based Patient-Specific QA across Multiple Linac Replacements

Authors: Gweneth Andersen, Colleen M. Foote, David (Bo) McClatchy, Hannah McFarland

Affiliation: Massachusetts General Hospital

Abstract Preview: Purpose: To quantify the impact of MLC model differences and LINAC age on treatment plan evaluation by log file-based patient-specific QA (PSQA) through the lifetime of the machines.
Methods: 3D ga...

Expert Verification of AI-Generated Cardiac Substructures and Dosimetric Differences between Auto-Contoured and Manually Delineated Contours

Authors: Stephen R. Bowen, Richard Cheng, Kylie Kang, Janice Kim, Ana Paula Santos Lima, Dominic A. Maes, Juergen Meyer, Karen Ordovas, Kerry Reding

Affiliation: Department of Radiation Oncology, University of Washington, Department of Radiation Oncology, Fred Hutchinson Cancer Center, University of Washington, Department of Radiology, University of Washington, Division of Cardiology, University of Washington, Department of Biobehavioral Nursing and Health Informatics, School of Nursing, University of Washington

Abstract Preview: Purpose: Artificial intelligence (AI)-based auto-segmentation tools can increase the efficacy and reproducibility of radiotherapy (RT) treatment planning. This study evaluates the quality of AI-genera...

FMEA for Optimizing Patient-Specific QA Program in IMRT: Insights from Diverse Practices

Authors: Bing-Hao Chiang, Eric C. Ford, Juergen Meyer, Timothy D. Solberg

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

Abstract Preview: Purpose: This study evaluated the potential risk reduction of various pretreatment patient-specific quality assurance (PSQA) programs for Intensity Modulated Radiation Therapy (IMRT) in mitigating fai...

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

Authors: Wen C. Hsi, Kayla Schneider

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

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

Foresight Planning: Radiotherapy Plan Optimization Via Self-Supervised Model Predictive Control

Authors: Yang Sheng, Qingrong Jackie Wu, Qiuwen Wu, Xin Wu, Dongrong Yang

Affiliation: Duke University Medical Center

Abstract Preview: Purpose:
Treatment planning for intensity-modulated radiation therapy (IMRT) and volumetric modulated arc therapy (VMAT) relies on inverse planning, an iterative and non-intuitive process of adjust...

Frameless and Maskless Stereotactic Radiosurgery: Evaluating a Novel Robotic Head Motion Compensation Device

Authors: Michelle Alonso-Basanta, Carl Denis, Wenbo Gu, Xinmin Liu, Ahmad Sakaamini, Rodney D. Wiersma

Affiliation: UCLA, University of Pennsylvania, CDR Systems

Abstract Preview: Purpose: Stereotactic radiosurgery (SRS) is a non-invasive technique used to treat functional abnormalities and small brain tumors. Traditional SRS relies on a rigidly fixed metal head ring, causing d...

Generation of Patient-Specific Phantom for Head & Neck Proton Therapy Based on Xcat

Authors: Cheng-En Hsieh, Shen-Hao Li, Hsin-Hon Lin, Shu-Wei Wu, An-Ci Yang

Affiliation: Department of Medical Imaging and Radiological Sciences, Chang Gung University, Proton and Radiation Therapy Center, Chang Gung Memorial Hospital, Proton and Radiation Therapy Center, Chang Gung Memorial Hospital Linkou

Abstract Preview: Purpose:
The aim of this study is to develop a framework of generating patient-specific phantom tailored for head and neck proton therapy. From these phantoms, digital reference objects based on th...

Head and Neck Treatment Evaluation with Cone Beam Computed Tomotherapy

Authors: Varsha Jain, Jun Kang, Paul Sulivan, Kate E. Verma, Yevgeniy Vinogradskiy

Affiliation: Thomas Jefferson University

Abstract Preview: Purpose:
Patients undergoing treatment for head and neck(H&N) cancers experience significant body contour changes throughout treatment. Body contour changes are due to tumor shrinkage, weight loss,...

Imaging of Mn Washout in the Individual Welder Brain after Wearing Powered Air-Purifying Respirators (PAPRs)

Authors: Ulrike Dydak, Chia-Tien Hsu, Chang Geun Lee, Cora Mizimakoski, Humberto Monsivais, Jae Hong Park

Affiliation: Purdue University

Abstract Preview: Purpose: Overexposure to manganese (Mn) from inhaling welding fumes can lead to cognitive and motor deficits. We developed a whole-brain Mn-mapping approach to detect subtle but significant increases ...

Immobilization and Optimization of Pulse Sequences for 0.23T MRI

Authors: Soon N. Huh, Perry B. Johnson, Jiyeon Park, Ryan Stevens

Affiliation: University of Florida Health Proton Therapy Institute, UF Health Proton Therapy Institute, UFHPTI

Abstract Preview: Purpose:
It has been challenging to acquire clinically useful MR images of pediatric cancer patients without anesthesia, and MR contrast agents. Custom-made immobilization devices and optimization ...

Inter-System and Inter-Layer Dlg Variations in Halcyon/Ethos Mlcs: Implications for Dosimetric Matching and User-Adjustable TPS Models

Authors: Evan Barber, Gloria P. Beyer, Matthew J. Daniels, Callum Hartley, Jordi Saez, Philip Wheeler

Affiliation: TrueNorth Medical Physics, Department of Radiotherapy Physics, Velindre University NHS Trust, Department of Radiation Oncology, Hospital Clinic de Barcelona, Medical Physics Services, LLC

Abstract Preview: Purpose: To quantify inter-system and inter-layer dosimetric leaf gap (DLG) variations in Halcyon/Ethos multileaf collimators (MLCs) using custom sweeping gap tests, and to evaluate implications for c...

Investigation of the Impact of Dlg Changes on Plan Quality and Patient Specific QA

Authors: Nicole C. Detorie, Steven M. Kirsner, Remy Y. Manigold

Affiliation: Scripps Cancer Center

Abstract Preview: Purpose:
Dosimetric Leaf Gap (DLG) is an important factor in obtaining the proper beam model in the Eclipse treatment planning system. The purpose of this study was to investigate the dosimetric im...

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

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

Affiliation: Mississippi State University, University of Mississippi Medical Center

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

Large Language Model-Driven Agentic System for Collaborative Decision-Making in Radiotherapy Treatment Planning

Authors: Yang Sheng, Qingrong Jackie Wu, Qiuwen Wu, Xin Wu, Dongrong Yang

Affiliation: Duke University Medical Center

Abstract Preview: Purpose:
This study aims to leverage large language model (LLMs) to develop a human-in-the-loop agentic framework, enhancing the efficiency of treatment planning in radiotherapy.
Methods:
A L...

Leveraging Photon Counting Detector CT and Advance Reconstructions to Improve the Accuracy of Vessel Tracing in Prostate Artery Embolization

Authors: Christopher P. Favazza, Andrea Ferrero, Taylor Froelich, Forrest Linch, Scott Thompson

Affiliation: Mayo Clinic

Abstract Preview: Purpose: Photon counting detector (PCD) CT is a promising tool to enhance pre-procedural planning and intra-procedural guidance for prostate artery embolization due to its unsurpassed ultra-high spati...

Mid-Range Planning for Efficient and Robust Proton Arc Therapy

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

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

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

Motion Correction-Driven Patient-Specific 2D Cine MRI-Based Dynamic Volumetric Reconstruction for MRI-Guided Radiotherapy Intra-Fractional Motion Monitoring

Authors: Karyn A Goodman, Yang Lei, Tian Liu, D. Michael Lovelock, Charlotte Elizabeth Read, Jing Wang, Jiahan Zhang

Affiliation: Icahn School of Medicine at Mount Sinai

Abstract Preview: Purpose: Real-time volumetric MRI is essential for precise motion management in MRI-guided radiotherapy (MRIgRT). While 2D Cine MRI offers high temporal resolution for motion tracking, it inherently l...

Multidimensional Diffusion MRI Based Microstructural Heterogeneity Model on a 5T MR System

Authors: Jiayi Chen, Shaolei Li, Fuhua Yan, Yingli Yang, Jie Zhang

Affiliation: Department of Radiology, Ruijin Hospital, Institute for Medical Imaging Technology, Ruijin Hospital, Department of Radiology, Ruijin Hospital Shanghai Jiaotong University School of Medicine, Shanghai United imaging Healthcare Advanced Technology Research Institute, Department of Radiation Oncology, Ruijin Hospital

Abstract Preview: Purpose: The aim of this exploratory study is to investigate the feasibility of establishing a model to explore tissue component heterogeneity using multidimensional diffusion magnetic resonance imagi...

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...

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

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

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

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

Patient-Specific Deep Reinforcement Learning Framework for Automatic Replanning in Proton Therapy for Head-and-Neck Cancer

Authors: Malvern Madondo, Mark McDonald, Zhen Tian, Christopher Valdes, Ralph Weichselbaum, Xiaofeng Yang, David Yu, Jun Zhou

Affiliation: Department of Radiation & Cellular Oncology, University of Chicago, University of Chicago, Emory University, Department of Radiology, University of Chicago, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose: Head-and-neck (HN) cancer patients often experience significant anatomical changes during treatment course. Proton therapy, particularly intensity-modulated proton therapy (IMPT), is sensitiv...

Patient-Specific Ultra-Sparse k-Space Reconstruction Using Motion Decomposition and Sinusoidal Representation Networks for Dynamic Volumetric MRI in Radiotherapy

Authors: Karyn A Goodman, Yang Lei, Tian Liu, Charlotte Elizabeth Read, Jing Wang, Qian Wang, Jiahan Zhang

Affiliation: Icahn School of Medicine at Mount Sinai, Department of Radiation Oncology, Beth Israel Deaconess Medical Center

Abstract Preview: Purpose: Accurate motion management in MRI-guided radiotherapy (MRIgRT) relies on real-time volumetric MRI to track intra-fractional anatomical changes. Dense k-space sampling, while capable of produc...

Personalized and Automated Head & Neck Radiotherapy Planning with AI-Guided Optimization

Authors: Michael Bowers, Patrik Brodin, Madhur Garg, Rafi Kabarriti, William P. Martin, Todd R. McNutt, Julie Shade, Wolfgang A. Tomé, Christian Velten

Affiliation: Johns Hopkins University, Oncospace, Inc., Montefiore Medical Center

Abstract Preview: Purpose: Development of an automated planning tool utilizing AI generated patient-specific dose-volume histogram predictions for rapid H&N plan generation.
Methods: Planning best-practices were dev...

Predicting Proton Therapy Dose Delivery Accuracy: A Machine Learning Approach Using Iroc’s Proton Phantom Data

Authors: Lian Duan, Stephen F. Kry, Hunter S. Mehrens, Paige A. Taylor

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

Abstract Preview: Purpose: To develop a machine learning model for predicting dose delivery accuracy and identifying its key factors in IROC’s proton phantom program.
Methods: IROC’s proton QA program has six proton...

Prediction of Head and Neck Cancer Using Artificial Neural Network through Basic Health Data

Authors: Abdullah Hidayat, Wazir Muhammad

Affiliation: Florida Atlantic University

Abstract Preview: Purpose: This study aims to predict Head and Neck cancer using an artificial neural network (ANN) through readily available basic health data. The goal is to uncover hidden patterns and predictors in ...

Proactive Quality Assurance for Adaptive Radiotherapy: Real-Time Mlc Verification with Myqa SRS

Authors: James L. Giltz, Michael J. Merrick

Affiliation: Alyzen Medical Physics, University of Kentucky

Abstract Preview: Purpose: To evaluate the capability of MyQA SRS in performing high-resolution machine QA to verify multileaf collimator (MLC) behavior and integrity for adaptive radiotherapy (ART). This study demonst...

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

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

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

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

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

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

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

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

Robustness Enhancement for VMAT-TBI Planning and Treatment Delivery

Authors: Courtney R. Buckey, Quan Chen, Suzanne J. Chungbin, Edward L. Clouser, Yi Rong, Jun Tan, Jennifer Yan, Xiang Sheng Yan

Affiliation: Mayo Clinic Arizona, Mayo Clinic

Abstract Preview: Purpose:
To identify planning techniques that consistently result in robust VMAT-TBI plans that allow for larger patient setup errors.
Methods:
Conventional planning method often results in p...

Tailor-TS System: Tailored Tumor Segmentation System with Facility-Specific Semi-Supervised Learning

Authors: Gong Vincent Hao, Daisuke Kawahara, Jokichi Kawazoe, Yuji Murakami, Ikuno Nishibuchi, Peiying Colleen Ruan, Daguang Xu, Dong Yang

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

Abstract Preview: Purpose:
Accurate tumor segmentation in head and neck cancer is critical for effective treatment planning, but variability in practices across medical facilities poses challenges for standardizatio...

To Establish Local Diagnostic Reference Levels (DRLs) for Head and Neck Computed Tomography (CT) Exams in Abuja, Nigeria, and to Investigate the Performance of Brain Metastasis (BM) and Brain Lesion (BL) Segmentation Techniques Using U-Net Models.

Authors: Nuraddeen Nasiru Garba, Kalpana M Kanal, Abdullahi Mohammed, Rabiu Nasiru, Muhammad SHAFIU Shehu, Daniel Vergara, Joseph Everett Wishart

Affiliation: AHMADU BELLO UNIVERSITY, ZARIA, University of Washington

Abstract Preview: Purpose: To establish local Diagnostic Reference Levels (DRLs) for head and neck computed tomography (CT) exams in Abuja, Nigeria, and to investigate the performance of brain metastasis (BM) and brain...

Towards Arbitrary Phantom Patient Specific IMRT QA on Reflexion X1

Authors: Andrew Groll, Ayan Mitra, PhD, Manoj Narayanan, Sanchit Sharma, Ray Yang, Timothy Pok Chi Yeung

Affiliation: Reflexion Medical Inc,, RefleXion Medical

Abstract Preview: Purpose: To develop a versatile QA tool enabling dose recalculation of a patient’s plan sinogram redeployed onto arbitrary replacement phantom geometry, and extract computed dose along detector planes...

Towards Real-Time Radiotherapy Monitoring By Cherenkov Imaging: Applications of Patient-Specific Bio-Morphological Features Segmented Via Deep Learning

Authors: Petr Bruza, Yao Chen, David J. Gladstone, Lesley A Jarvis, Brian W Pogue, Kimberley S Samkoe, Yucheng Tang, Shiru Wang, Rongxiao Zhang

Affiliation: NVIDIA Corp, Dartmouth College, Thayer School of Engineering, Dartmouth College, Dartmouth Cancer Center, University of Missouri, University of Wisconsin - Madison

Abstract Preview: Purpose: Cherenkov imaging provides real-time visualization of megavoltage radiation beam delivery during radiotherapy. Patient-specific bio-morphological features, such as vasculature, captured in th...

Treatment Machine Matching for ELM in Eclipse v18.0 By Adjusting Physical Leaf Gap

Authors: Quyen Duong, Si Young Jang, Soyoung Lee, Samuel Ming Ho Luk

Affiliation: Boston University, Department of Radiation Oncology, University of Vermont Medical Center, Boston Medical Center

Abstract Preview: Purpose: To investigate the clinical impact of physical MLC gaps changes with Millennium 120 MLC on Enhanced Leaf Modeling (ELM) and patient plans, and to establish a new MLC model in Eclipse v18.0 on...

Treatment Plan Comparisons of Head and Neck Cancers on Varian Ethos/Halcyon and Truebeam Linac

Authors: Yunfeng Cui, Joseph P. Kowalski, Qiuwen Wu, Yibo Xie

Affiliation: Duke University, Duke University Medical Center

Abstract Preview: Purpose: A Varian Ethos/Halcyon linac was recently commissioned in our clinic and was used to treat head and neck cancer patients. The purpose of this study is to compare treatment plan quality and de...

Tumor Dose Escalation for Recurrent Head and Neck SRT Via a Hyperarc-Based Rapidplan Model

Authors: Shane McCarthy, Damodar Pokhrel, William St. Clair, Eddy S Yang

Affiliation: University of Kentucky, Department of Radiation Medicine

Abstract Preview: Purpose: Demonstrating the feasibility of dose escalation for stereotactic recurrent head and neck (RHN) cancers through the deployment of a Hyper-Arc Based RapidPlan (HARP) model through an Eclipse S...

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...

Using Open-Source Reasoning Large Language Models for Radiotherapy Structure Name Harmonization

Authors: Claus Belka, Stefanie Corradini, Christopher Kurz, Guillaume Landry, Matteo Maspero, Adrian Thummerer, Erik van der Bijl

Affiliation: Department of Radiation Oncology, LMU University Hospital, LMU Munich, Radboud University Medical Center, UMC Utrecht

Abstract Preview: Purpose: To automatically harmonize non-standardized organ-at-risk (OAR) structure names from multi-lingual, multi-institutional radiotherapy datasets using state-of-the-art open-source reasoning larg...

Validating a Pre-Existing CT HU-to-Mass Density Curve for Direct Dose Calculation on High Quality Cbcts

Authors: Casey E. Bojechko, Tricia Chinnery, Grace Gwe-Ya Kim, Xenia Ray

Affiliation: University of California San Diego

Abstract Preview: Purpose: To evaluate the use of a calibration curve generated from the CT simulator for direct dose calculation on cone beam computed tomography (CBCT) images taken with the on-board imaging system. T...

Volumetric-Modulated Arc Therapy (VMAT) Is Associated with Improved Dose Homogeneity, but More Normal Tissue Irradiation Compared to Three-Dimensional Conformal Radiation Therapy (3DCRT) for Breast Cancer

Authors: Laura I. Cervino, Linda X. Hong, Jessica Pagan, Angelica A. Perez-Andujar, Maria Thor

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

Abstract Preview: Purpose: Three-dimensional conformal radiotherapy (3DCRT) and Volumetric-Modulated Arc Therapy (VMAT) are used to treat locally advanced breast cancer. The 3DCRT treatment plans use the treatment fiel...

Web-Based Tool for CT Ring Artifact Identification Using Streamlit and Python

Authors: Sarah Huo, David Zander, Wei Zhou

Affiliation: Cherry Creek High School, University of Colorado Anschutz Medical Campus, University of Colorado Anschutz Medical Campus, School of Medicine

Abstract Preview: Purpose:
Ring artifact is commonly seen in CT, and it is usually caused by detector element failure or miscalibration. Although many ring artifacts are apparent and easy to recognize, those origina...