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Results for "pre alc": 155 found

A Dynamic Reconstruction and Motion Estimation Framework for Cardiorespiratory Motion-Resolved Real-Time Volumetric MR Imaging (DREME-MR)

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

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

Abstract Preview: Purpose: Based on a 3D pre-treatment MRI scan, we developed DREME-MR to jointly reconstruct the reference patient anatomy and a data-driven, patient-specific cardiorespiratory motion model. Via a moti...

A Five-Year Retrospective Analysis of Dose Reduction for the Top 10 Adult CT Protocols

Authors: Emi Ai Eastman, Christina Lee, Xinhua Li, Yifang (Jimmy) Zhou

Affiliation: Cedars-Sinai Medical Center

Abstract Preview: Purpose:
This study aimed to retrospectively evaluate dose reduction efforts in past five years using acquisition-level data and to compare the results with ACR achievable dose (AD) and dose refere...

A Framework for Automated Selection of Dose-Volume Objectives to Improve Radiation-Induced Immune Suppression (RIIS)-Related Overall Survival (OS) Following Chemo-Radiotherapy

Authors: Gabriel Lucas Andrade de Sousa, Einsley-Marie Janowski, Cam Nguyen, Krishni Wijesooriya

Affiliation: Department of Radiation Oncology, University of Virginia, Department of Physics, University of Virginia

Abstract Preview: Purpose: Optimizing radiation therapy (RT) to spare the immune system may improve Overall Survival (OS) in cancer patients. This study develops a computational algorithm to identify optimal dose-volum...

A GUI-Based Python Platform for the Quantification of Pre-Clinical Planar Optical Imaging Using 3D Anatomical Information

Authors: Bryan Bednarz, Malick Bio Idrissou, Campbell Haasch, Reinier Hernandez

Affiliation: Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin - Madison, Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin–Madison, University of Wisconsin - Madison

Abstract Preview: Purpose: Quantitative optical imaging is a powerful tool in murine models for assessing tumor growth and metastatic spread using bioluminescence imaging (BLI) and for detecting radiopharmaceutical upt...

A Hybrid 4π-Proton Arc Robust Optimization

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

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

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

A Hybrid-PCA Based Accelerated MR Method for Real-Time Target Tracking and Motion Management

Authors: B. Gino Fallone, Keith D. Wachowicz, Mark G. Wright, Jihyun Yun

Affiliation: Medical Physics Division, Department of Oncology, University of Alberta, Dept. of Medical Physics, Cross Cancer Institute and Dept. of Oncology, University of Alberta, Medical Physics Division, Department of Oncology, University of Alberta and Department of Medical Physics, Cross Cancer Institute, Dept. of Medical Physics, Cross Cancer Institute and Dept. of Oncology, University of Alberta; MagnetTx Oncology Solutions, www.magnetTX.com

Abstract Preview: Purpose: This work focusses on a hybrid Principal Component Analysis (PCA) based MR acceleration method for prospectively acquired undersampled data on a hybrid MR-Linac system for real-time target-tr...

A Method to Reduce Workload in Adaptive Radiotherapy

Authors: Ramesh Boggula, Lincoln Houghton

Affiliation: Karmanos Cancer Institute, Wayne State University

Abstract Preview: Purpose: To evaluate an approach that selectively applies adaptive re-planning only when needed to reduce clinical workload while maintaining treatment quality. Daily adaptive radiotherapy (ART) has t...

A Novel Group-Wise Non-Rigid Iterative Closest Point Shape Registration Algorithm with Temporal Smoothness Regularizations for Computing the Respiratory Motion of the Heart in Respiratory 4DCTs and Avoiding Random Cardiac Motion Artifacts

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: Cardiorespiratory motion management is crucial in stereotactic arrhythmia radiotherapy to define target margins and minimize cardiac toxicity. While respiratory 4DCT (r4DCT) images can infer ...

A Novel Groupwise Shape Deformable Registration Algorithm to Quantify the Respiratory Motion of the Heart in Respiratory 4DCTs While Accounting for Random Cardiac Motion Artifacts in the Respiratory 4DCTs

Authors: Anna E. Rodrigues, Yuhao Wang, Deshan Yang

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

Abstract Preview: Purpose: Accurate motion margin definition in StereoTactic Arrhythmia Radiotherapy (STAR) requires accurate cardiorespiratory motion assessment. However, respiratory 4DCT (r4DCT) images are affected b...

A Novel Integrated Framework for Rapid Automatic Calculation of Organ Absorbed Dose from kV-CBCT Imaging during Radiotherapy

Authors: Marios Myronakis, Kyriaki Theodorou

Affiliation: Medical Physics Department, Medical School, University of Thessaly

Abstract Preview: Purpose: The development of an integrated application framework for rapid, seamless, and automated calculation of absorbed organ dose for individual patients undergoing kV CBCT imaging over the course...

A Radiomic Quantification Framework for Hyperparameter Optimization in Texture Characterization

Authors: Yuli Lu, Chendong Ni, Cheng Qian, Kun Qian, Weiwei Sang, Chunhao Wang, Fan Xia, Zhenyu Yang, Fang-Fang Yin, Rihui Zhang, Haiming Zhu

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

Abstract Preview: Purpose: To develop a radiomic quantification framework to evaluate the effects of radiomic image preprocessing hyperparameters (i.e., image resampling and discretization) on texture characterization ...

A Recent Evaluation on the Performance of Llms on Radiation Oncology Physics Using Questions of Randomly Shuffled Options

Authors: Dequan Chen, Jason Michael Holmes, Tianming Liu, Wei Liu, Zhengliang Liu, Jiajian Shen, Peilong Wang

Affiliation: Department of Radiology, Mayo Clinic, Department of Radiation Oncology, Mayo Clinic, School of Computing, University of Georgia

Abstract Preview: Purpose:
We present a study to evaluate the performance of large language models (LLMs) in answering radiation oncology physics questions, focusing on the recently released models.
Methods:
A...

A Retrospective Assessment of Proton Radiation Response in Brain Tumor Patients Using Diffusion-Weighted MR Imaging

Authors: Liu Hong, Wen C. Hsi, Faraz Kalantari, Romy Megahed, Ganesh Narayanasamy, Maida Ranjbar, Pouya Sabouri, Zhong Su

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

Abstract Preview: Purpose: Quantitative apparent diffusion coefficients (ADC) in diffusion-weighted MRI (dMRI) reflect water diffusivity and thus provide tissue cellular density information. Functional diffusion mappin...

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

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

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

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

A Study of Large Model Alignment Techniques for MRI Images of Small Sample Meningioma

Authors: Xiangli Cui, Man Hu, Wanli Huo, Da Yao, 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, Department of Oncology, Xiangya Hospital, Central South University, Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences

Abstract Preview: Purpose:
To study the fine-tuning strategy of pre-trained AI image generation model to adapt to the generation of small sample meningioma MRI images, explore its impact on observer performance, and...

A Tool to Quantitatively Assess Dose after Patient Motion

Authors: Asma Amjad, Renae Conlin, Beth A. Erickson, William Hall, Eric S. Paulson, Christina M. Sarosiek

Affiliation: Department of Radiation Oncology, Medical College of Wisconsin

Abstract Preview: Purpose: The adapt-to-shape (ATS) workflow on the MR-Linac involves manual contour edits followed by treatment plan reoptimization on daily pre-beam MRIs. A verification image is acquired after plan o...

A Vision-Language Deep Learning Model for Predicting Survival Outcomes in Glioblastoma Patients

Authors: Zachary Buchwald, Chih-Wei Chang, Richard L.J. Qiu, Mojtaba Safari, Hui-Kuo Shu, Lisa Sudmeier, Xiaofeng Yang, David Yu, Xiaohan Yuan

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

Abstract Preview: Purpose: This study proposes a novel vision-language model (VLM) to predict survival outcomes in glioblastoma (GBM) patients. By integrating multimodal MRI data and clinical information, the proposed ...

Adaptive Proton Flash Therapy through Iterative Modular Pin Recycling

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

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

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

Advancing Cardiac Sparing with Upright Patient Geometry and Deep Learning

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

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

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

An Assessment of the Potential Impact of the Elekta Unity’s 1.5T Magnetic Field upon the Performance of a Conventional Linac Installed in an Adjacent Vault: A Case Study

Authors: Matthew Stephen Andriotty, Taoran Cui, Josh Kilian-Meneghin, Ke Nie, Xiao Wang, Zhenyu Xiong, Ning J. Yue, Yin Zhang

Affiliation: Rutgers Cancer Institute of New Jersey, RWJBarnabas Health

Abstract Preview: Purpose: To investigate the potential impact of the Elekta Unity’s 1.5T magnetic field upon the performance of a conventional linac installed in an adjacent vault.
Methods: The linac vaults for thi...

An Automated Solution to Staged Treatments for Arteriovenous Malformations in Gammaknife

Authors: Strahinja Stojadinovic, Robert Timmerman, Yulong Yan

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

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

An Efficient Workflow for X-Ray Imaging-Based IGRT/ART

Authors: Lili Chen, Ahmed A. Eldib, Chang Ming Charlie Ma

Affiliation: Fox Chase Cancer Center

Abstract Preview: Purpose: Specialized adaptive radiotherapy (ART) systems have been developed and clinically implemented, which are either cost-ineffective such as MR-linacs or inflexible in workflow such as the Ethos...

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

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

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

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

Application of 3D Printed Individualized Applicators Based on Pre-Planning in Interstitial Brachytherapy for Cervical Cancer

Authors: Zhitao Dai

Affiliation: Chinese Academy of Medical Sciences Cancer Hospital Shenzhen Hospital

Abstract Preview: Purpose: To investigate the accuracy of 3D printed individualized vaginal template assisted pre-planning in the interstitial implantation of cervical cancer, to examine the advantages when compared wi...

Assessing Breast Cancer Tumor Segmentability on an Investigational, Double-Bolus, Prone-to-Supine Breast MRI Protocol for Surgical Guidance.

Authors: Richard J Barth, Brook Kennedy Byrd, Roberta DiFlorio-Alexander, Misty J Fox, Venkat Krishnaswamy, Keith D. Paulsen, Timothy B Rooney

Affiliation: Cairn Surgical Inc., Dartmouth Health, Thayer School of Engineering, Dartmouth Hitchcock Medical Center, University of Virginia Health, CairnSurgical Inc.

Abstract Preview: Purpose: Supine breast MRI enables precise surgical planning with demonstrated benefit in decreasing positive margin rates during BCS. However, acquiring supine breast MRI scans in a secondary imaging...

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...

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...

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

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

Affiliation: Department of Radiation Oncology, University of Rochester

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

Backward Photon Monte Carlo Propagator (BPMCP): Proof of Concept of a Fully Physics-Driven SPECT Reconstruction

Authors: Alejandro Bertolet, Carlos Huesa-Berral, Victor V. Onecha

Affiliation: Massachusetts General Hospital and Harvard Medical School

Abstract Preview: Purpose: Radioembolization for liver tumors using 90Y microspheres uses SPECT as confirmatory dosimetry, although 90Y is a pure ÎČ-emitter, and SPECT-imaging is only available through subsequent bremss...

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...

Big Data in-Vivo Epid Image Prediction for VMAT Radiotherapy

Authors: Casey E. Bojechko, Lance C Moore

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

Abstract Preview: Purpose: EPID images collected during treatment can serve as an in-vivo error detection mechanism. Previous works have shown that comparing in-vivo EPID images to AI-predicted EPID images for IMRT pla...

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...

Characterization and Validation of Cerenkov Radiation Extraction Methods from a Plastic Scintillation Detector in 0.35T MR-Linac Environments

Authors: Mateb Ali Alghamwa, Haya Aljuaid, Siyong Kim, Tianjun Ma, William Song

Affiliation: Virginia Commonwealth University

Abstract Preview: Purpose: The integration of Plastic Scintillation Detectors (PSDs) into 0.35T MR-Linac systems represents a significant advancement in radiotherapy, offering substantial benefits due to their tissue-e...

Characterization of HCC Tumor Response in 90Y-Radioembolization Clinical Trial RAPY90D Using Prospective Voxel Dosimetry

Authors: E Courtney Henry, Srinivas Cheenu Kappadath, Armeen Mahvash

Affiliation: UT MD Anderson Cancer Center

Abstract Preview: Purpose:
Characterization of hepatocellular carcinoma (HCC) tumor responses for single-arm single-center prospective 90Y-radioembolization clinical trial (n=40) that used patient-specific voxel-dos...

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...

Commissioning of Varian HDR Surface Applicators Using High-Resolution Diode Array and Film Dosimetry

Authors: Milad BaradaranGhahfarokhi, Manuel A. Morales Paliza

Affiliation: Vanderbilt University Medical Center

Abstract Preview: Purpose: The purpose of this study was to commission Varian HDR surface applicators using a high-resolution diode array and film dosimetry. This work evaluates dosimetric characteristics of these appl...

Commissioning of an AI-Assisted Tool for Enhancing Post-Radiosurgery Follow-up in Multiple Brain Metastases Patients

Authors: Rex Carden, Carlos E. Cardenas, Ho-hsin Rita Chang, John B Fiveash, Heinzman A. Katherine, Yogesh Kumar, Gaurav Nitin Rathi, Richard A. Popple, Kayla Lewis Steed

Affiliation: University of Alabama at Birmingham

Abstract Preview: Purpose: Brain metastases (BMs) often require multiple radiotherapy (RT) courses as new lesions appear. Comparing follow-up imaging with prior RT plans is time-intensive. We developed an AI tool that ...

Comparison of CBCT Dose Calculation Accuracy between Truebeam Hypersight Image Reconstruction Algorithms

Authors: Sarah Aubert, Harald Keller, Jeff D. Winter

Affiliation: Princess Margaret Cancer Centre

Abstract Preview: Purpose: Support for treatment planning directly on CBCT imaging on C-arm linacs will enable adaptive radiation therapy (ART) capacity with increased treatment technique flexibility. The HyperSight im...

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...

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

Authors: Hao Peng, Yajun Yu

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

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

Confidence in a Tattoo-Less Transition

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

Affiliation: Christiana Care

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

Correlation of Dose Volume Metrics with Skin Systemic Sclerosis 12 Months Post Radiotherapy for Head & Neck Cancer

Authors: Gregory A Azzam, Danielle Cerbon, Laura Huang, Panayiotis Mavroidis, Diana Molinares, Stuart E Samuels, Sotirios Stathakis

Affiliation: Mary Bird Perkins Cancer Center, University of Miami Sylvester Comprehensive Cancer Center, Mount Vernan Rehabilitation Medicine Associates, Department of Radiation Oncology, University of Miami, University of North Carolina

Abstract Preview: Purpose: This study examines the correlation of different dose volume metrics of the skin, sternocleidomastoid (SCM) muscle and subcutaneous tissue (subcut) structures with the skin systemic sclerosis...

Cumulative Doses in Radiotherapy Treatment of Lymphoma Patients

Authors: Klaus Bacher, Tom Boterberg, Jeff Rutten, Barbara Vanderstraeten, Gwenny Verfaillie, Sarah Waelkens

Affiliation: Ghent University, Ghent University Hospital

Abstract Preview: Purpose: Lymphoma cancer patients frequently receive ionizing radiation during their treatment trajectory, including diagnostic CT, planning CT (pCT), recurrent CBCTs, radiotherapy (out-of-field) dose...

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

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

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

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

Demystifying Magnetic Resonance Imaging: Targeted Educational Initiatives for Medical Physicists in TĂŒrkiye and Preclinical Medical Students in the United States

Authors: Samuel A. Einstein, Jesutofunmi Fajemisin, Evren O. Göksel, Görkem O. GĂŒngör, Marthony Robins, Travis C. Salzillo, Charles R. Thomas, Turgay Toksay, Joseph Weygand, Yue Yan

Affiliation: Acibadem MAA University, Department of Radiation Oncology and Applied Science, Dartmouth Health, Dartmouth College, Moffitt Cancer Center, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Penn State College of Medicine, Bursa Ali Osman Sönmez Oncology Hospital

Abstract Preview: Purpose: Magnetic resonance imaging (MRI) is an indispensable clinical tool, offering unparalleled soft tissue contrast critical for diagnosing and managing a wide range of conditions. However, its co...

Design and Testing of an External Control System for Beam Control and Pre-Delivery Optimization for Conventional- and Ultra-High-Dose-per-Pulse Flash Irradiations

Authors: Alexander Baikalov, Luke Connell, Nicholas Coupey, Nolan M. Esplen, Rebecca Lim, Chinh Nguyen, Emil Schueler

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

Abstract Preview: Purpose: FLASH radiotherapy delivered using electron linear accelerators (LINAC) requires precise control and minimal variation of dose rate and We developed a robust external beam control system (EBC...

Design of a Small Animal Proton Flash Irradiation System with High Achievable Dose and Dose Rate Using a Synchrotron Proton Beamline

Authors: Zongsheng Hu, Yuting Li, Radhe Mohan, Emil Schueler, Uwe Titt

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

Abstract Preview: Purpose: In previous work, we developed an irradiation system for pre-clinical ultra-high-dose-rate(FLASH) radiotherapy experiments based on synchrotron proton beamline. However, the beam current limi...

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...

Detection of the Linac Jaw Face Angle Misalignment: Case Studies

Authors: Peter Balter, Andres V Cibrian, Song Gao

Affiliation: The University of Texas MD Anderson Cancer Center

Abstract Preview: Purpose: The purpose of this study is to demonstrate a means of detecting misaligned jaw face angles on the Varian TrueBeam based on a beam symmetry metric for electron beam profiles.
Methods: Duri...

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

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

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

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

Development of a Bayesian Network for a Comprehensive Uncertainty Assessment in Personalized Dosimetry after Targeted Radionuclide Therapy

Authors: NadÚge Anizan, David Broggio, Eric Chojnacki, Estelle Davesne, Didier Franck, Stéphanie Lamart, Alexandre Pignard

Affiliation: Institut Bergonié, Service de Physique Médicale, Autorité de Sûreté Nucléaire et de Radioprotection (ASNR), PSE-SANTE/SDOS/LEDI, Autorité de Sûreté Nucléaire et de Radioprotection (ASNR), PSE-SANTE/SDOS, Autorité de Sûreté Nucléaire et de Radioprotection (ASNR), PSN-RES/SEMIA/LSMA

Abstract Preview: Purpose: To develop an innovative method enabling a comprehensive uncertainty budget associated to personalized absorbed doses for 177Lu-PSMA therapy and providing probability distributions of all dos...

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

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

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

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

Development of a Computational Immunohistochemical Stained Tissue Analysis of Intracellular Flash Induced Radiochemical Oxygen Depletion

Authors: Najah Curtis, Michele M. Kim, Cameron Koch, Ioannis I Verginadis, Rodney D. Wiersma, Jennifer Wei Zou

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

Abstract Preview: Purpose: FLASH has been shown to have increased normal tissue sparing compared to standard dose rate radiation and, separately, has been shown to rapidly consume oxygen intercellularly in vivo through...

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 Ultrafast MR Technique to Detect Linac Radiation Pulses for Biological Imaging on a Clinical 0.35T MR-Linac

Authors: Pierre Gardair, Johnathan E Leeman, Claire Keun Sun Park, Atchar Sudhyadhom

Affiliation: Brigham and Women’s Hospital, Dana Farber Cancer Institute, Harvard Medical School, Brigham and Women’s Hospital and Dana Farber Cancer Institute, Harvard Medical School,, Brigham and Women’s Hospital and Dana Farber Cancer Institute, Harvard Medical School, Harvard Medical School

Abstract Preview: Purpose: Dose is a poor surrogate for radiobiological damage but no in vivo technology exists to directly measure damage such as DNA strand breaks and free radical generation (FRG). Recent advances in...

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-Îł-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 Îł-ray dual-modality radiation (TaiChiB) system, comparing i...

Dosimetric Comparison of 6X and 10X Flattening Filter-Free Photon Beams on a Truebeam Linac Using the Eclipse TPS

Authors: Carlos E. Cardenas, Udbhav S. Ram, Marcin Wierzbicki

Affiliation: The University of Alabama at Birmingham, University of Alabama at Birmingham, Juravinski Cancer Centre

Abstract Preview: Purpose:
This study aims to systematically evaluate the dosimetric properties and delivery efficiency of 6X-FFF and 10X-FFF beams for lung SBRT on the Varian TrueBeam STx using the Eclipse TPS 16.1...

Dosimetric Feasibility of Dominant Intraprostatic Lesion Dose Escalation in HDR Prostate Brachytherapy

Authors: Abby E. Besemer, Carolyn Eckrich, John M. Floberg, Michael J. Lawless, Jessica R. Miller, Joseph B. Schulz, Jordan M. Slagowski, Autumn E. Walter-Denzin

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

Abstract Preview: Purpose: The aim of this treatment planning study was to evaluate the feasibility of escalating dose with HDR prostate brachytherapy to imaging-identified intraprostatic macroscopic lesions while mode...

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

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

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

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

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...

Efficient Monte Carlo Simulation of Radiation-Induced Double Strand Break Production and Repair Kinetics

Authors: Zakaria Aboulbanine, Greeshma A. Agasthya, Paul Inman, Anuj J. Kapadia, Anthony Hong Cheol Lim, Jayasai Ram Rajagopal, Chris C. Wang

Affiliation: Oak Ridge National Laboratory, Georgia Institute of Technology

Abstract Preview: Purpose: Radiobiological simulation via TOPAS-nBio requires significant computational resources and time to provide meaningful results. This study aims to decrease simulation time and computational re...

End-to-End Pre-Planning Needle Trajectory and Dwell Time Optimization for 3D Printable Cervical and Vaginal Templates

Authors: Deidre Batchelar, Michael Kudla, Stephanie Merkl, Tony Teke

Affiliation: BC Cancer - Kelowna

Abstract Preview: Purpose: Preplanning 3D-printed templates for cervical and vaginal brachytherapy is an iterative process, often taking hours to for an individual patient.
This study demonstrates an end-to-end auto...

Enhanced Prediction of Iroc Stereotactic Radiosurgery Phantom Audit Results with Treatment Parameters, Complexity Metrics, DVH, and Dosiomics Using Machine Learning

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

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

Abstract Preview: Purpose: To develop predictive models for IROC SRS head phantom audits and to identify important factors influencing institutional performance.
Methods: The IROC SRS head phantom includes two TLDs ...

Enhanced Prognostic Modeling for Clear Cell Renal Cell Carcinoma Via Multi-Omics Model and Computational Pathology Foundation Model Integration

Authors: James Brugarolas, Meixu Chen, Raquibul Hannan, Payal Kapur, Jing Wang, Kai Wang

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

Abstract Preview: Purpose: Accurate prognosis of clear cell renal cell carcinoma (ccRCC) is essential for guiding personalized treatment planning. In this study, we present a multi-modal ensemble model (MMEM) that inte...

Establishing a Conventional Linac-Based Electron Flash Beam

Authors: Christopher Bartee, Justin Riley DeFrancisco, Marcos Feijoo, Siyong Kim, Tianjun Ma

Affiliation: Blue Physics LLC, Virginia Commonwealth University

Abstract Preview: Purpose: Irradiation with FLASH has been shown to decrease normal tissue toxicity while maintaining similar tumor control. To advance FLASH into the clinic, more preclinical investigations are first n...

Evaluating Deep Learning Models for Accurate Segmentation of GTV and Oars in MR-Guided Adaptive Radiotherapy for Pancreatic Cancer

Authors: Christopher G. Ainsley, Pradeep Bhetwal, Yingxuan Chen, Wookjin Choi, Vimal K. Desai, Karen E. Mooney, Adam Mueller, Hamidreza Nourzadeh, Yevgeniy Vinogradskiy, Maria Werner-Wasik

Affiliation: Thomas Jefferson University

Abstract Preview: Purpose: MR-guided adaptive radiotherapy (MRgART) has demonstrated improved outcomes for patients with pancreatic cancer. However, the time-consuming re-segmentation of targets and organs-at-risk (OAR...

Evaluating Discrete Proton Arcs Converted to Pencil Beam Scanning Plans for Glioma and Chordoma in Raystation with a Mevion s250i Hyperscan Proton Therapy System

Authors: Mark A. Newpower, Jill Taylor

Affiliation: University of Oklahoma Health Sciences Center

Abstract Preview: Purpose: RayStation 2024A allows planners to optimize intensity modulated proton therapy (IMPT) plans using discrete arcs which can then be converted to traditional pencil beam scanning (PBS) beams fo...

Evaluating Three Practical Approaches to Managing Dose Accumulation in Normal Tissues during Radiation Re-Treatments

Authors: Derek A. Fiedler, Nixon Gutierrez, Quyen L. Jones, Zejian Liu, Tatsiana Reynolds

Affiliation: Texas Oncology, Minnesota Oncology, US Oncology

Abstract Preview: Purpose: Optimize patient safety and treatment efficacy during radiation re-treatment planning. Provide a comprehensive comparison of the methods by focusing on their applicability, accuracy, and limi...

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

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

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

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

Evaluating the Impact of Spot Spacing on Dosimetric Outcomes in Dynamic Arc Proton Therapy for Prostate SBRT

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

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

Abstract Preview: Purpose: DynamicARC is a novel pencil beam scanning (PBS) proton therapy technique with the potential to provide more conformal dose distributions and reduce treatment time. This study investigates th...

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

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

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

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

Evaluation of Deformable Image Registration Accuracy Used in MR-Only Ventilation Mapping

Authors: Fei Han, James M. Lamb, Michael Vincent Lauria, Daniel A. Low, Tessa Elizabeth Maurer, Danilo Maziero, Claudia R. Miller, Drew Moghanaki, Louise Naumann, Nicolas Viot

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

Abstract Preview: Purpose: Patients with lung disease outside radiotherapy are barred from high dose protocols used for motion modeling, but MRI could offer no-dose alternatives. Image-based ventilation is a promising ...

Evaluation of Target Localization Accuracy As a Function of CBCT Acquisition Speed

Authors: Kuan Ling Chen, Jiajin Fan, Maduka M. Kaluarachchi, Wei Nie

Affiliation: Inova Schar Cancer Institute

Abstract Preview: Purpose: This study evaluates the impact of CBCT acquisition speed on the accuracy of moving target alignment during image-guided radiotherapy. Additionally, the influence of target motion speed and r...

Evaluation of the Geometric Integrity of Elekta MR/CT Tandem and Ring Applicator Models for Brachytherapy

Authors: Jingxi Weng, Jian Wu

Affiliation: University of Florida

Abstract Preview: Purpose: Modern brachytherapy treatment planning software includes pre-defined applicator models. However, previous studies have shown significant discrepancies between actual and model-based first dw...

Evaluation of the Inverse Planning Optimization with Leksell GammaplanÂź

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

Affiliation: FCCC at Temple University Hospital

Abstract Preview: Purpose: Our GammaKnife(GK) has been upgraded from 4C to ICON recently. In this study we evaluated the performance of Lightning IPO for ICON.
Methods: 10 cases with single brain metastasis previous...

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...

Feasibility Study of Ethos Artificial-Intelligence Online Adaptive Prostate SBRT

Authors: Miguel Albaladejo, Ana Corbalan, Aitor Ortega, Vicente Puchades, David Ramos, Alfredo Serna-Berna, Jonattan Suarez

Affiliation: Hospital General Universitario Santa Lucia

Abstract Preview: Purpose:
Prostate SBRT treatments are frequently delivered using standard VMAT IGRT technique. The aim of this study is to test the feasibility of Ethos Artificial Intelligence (AI) prostate SBRT b...

Feasibility Study of Using HDR1000+ Well-Type Ionization Chambers for Solution Based 90y Measurements

Authors: Denis Bergeron, Larry A. DeWerd, Sean Jollota, Peyton Alexandra Lalain, Likhitha Polepalli

Affiliation: Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin - Madison, National Institute of Standards and Technology

Abstract Preview: Purpose: 90Y is a challenging radionuclide to measure because it is a pure beta-emitter and is typically quantified using a radionuclide calibrator. These devices, such as the Capintec model used in t...

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

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

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

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

Feasibility of Rapidarc Dynamic for Lattice Radiation Therapy of Bulky Liver Tumors

Authors: Christine V. Chung, Laurence Edward Court, Meena S. Khan, Ethan B. Ludmir, Rachael M. Martin Paulpeter, Saurabh Shashikumar Nair, Callistus M. Nguyen, Joshua S. Niedzielski, Luis Augusto Perles

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

Abstract Preview: Purpose: Spatially Fractionated Radiation Therapy (SFRT) has re-emerged as an efficacious treatment approach for bulky solid tumors. RapidArc Dynamic (RAD) has unique beam delivery capabilities that m...

First in-Vivo Application of a Novel Precision Small Animal Irradiation Platform with Proton IMPT Delivery and Advanced on-Board Image-Guidance

Authors: Niels Bassler, Jonathan Bortfeldt, Davide Boscaini, Francesco Evangelista, Guyue Hu, Ze Huang, Margarita Kozak, Julie Lascaud, Giulio Lovatti, Eero Lönnqvist, Jasper Nijkamp, Munetaka Nitta, Prasannakumar Palaniappan, Katia Parodi, Marco Pinto, Per R. Poulsen, Marco Riboldi, Babak Sharifi, Brita Singers SÞrensen, Peter Thirolf

Affiliation: Department of Medical Physics, Ludwig-Maximilians-UniversitĂ€t MĂŒnchen (LMU Munich), Ludwig-Maximilians UniversitĂ€t, Danish Centre for Particle Therapy, Aarhus University Hospital, Department of Medical Physics, Ludwig-Maximilians-UniversitĂ€t (LMU) MĂŒnchen, Department of Experimental Clinical Oncology, Aarhus University, Department of Oncology, Aarhus University Hospital

Abstract Preview: Purpose: To perform the first in vivo application of a novel small animal radiation research platform combining on-board image-guidance with multi-field intensity modulated spot scanning delivery [1] ...

Frequent MR Imaging of Fibrosis during Radiation Therapy: Implications for Adaptive RT in Gynecologic Cancer

Authors: Himanshu Bhat, Bruce Lewis Daniel, Junghoon Lee, Michael B. Roumeliotis, Ehud J. Schmidt, Ravi Seethamraju, Khadija Sheikh, Pan Su, Akila N. Viswanathan

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Siemens Medical Solutions USA Inc., Stanford Medical School, Department of Cardiology, Johns Hopkins University

Abstract Preview: Purpose: To perform frequent MRI during EBRT and brachytherapy (BT) to evaluate RT-induced fibrosis and remnant tumor changes, identified using ultrashort echo-time (UTE) and multiparametric (mpMRI), ...

GPU Accelerated Monte Carlo Simulation for Tset Dose Calculation

Authors: Veng Jean Heng, Jan P. Seuntjens, Timothy C. Zhu, Yifeng Zhu

Affiliation: Department of Radiation Oncology, Stanford University, Princess Margaret Cancer Centre & University of Toronto, University of Pennsylvania

Abstract Preview: Purpose: We have developed a GPU-accelerated Monte Carlo (MC) simulation to determine the cumulative dose distribution of patients undergoing Total Skin Electron Therapy (TSET) using the Stanford tech...

Gradient-Based Radiomics for Outcome Prediction and Decision-Making in Personalized Ultra-Fractionated Stereotactic Adaptive Radiotherapy (PULSAR): A Preliminary Study

Authors: Michael Dohopolski, Jiaqi Liu, Hao Peng, Robert Timmerman, Zabi Wardak, Haozhao Zhang

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

Abstract Preview: Purpose:
This study introduces a gradient-based radiomics framework to enhance outcome prediction in Personalized Ultra-Fractionated Stereotactic Adaptive Radiotherapy (PULSAR) for brain metastases...

HypersightÂź Offline Adaptive Workflow

Authors: Doris Dimitriadis/Dimitriadou, Denisa R. Goia, M. Saiful Huq, Ronald John Lalonde, Noor Mail, Adam Olson, Tyler Wilhite

Affiliation: UPMC Hillman Cancer Center, UPMC Hillman Cancer Center and University of Pittsburgh School of Medicine, UPMC

Abstract Preview: Purpose: The goal of the HyperSightÂź offline adaptive-workflow is to create a methodical approach to adaptive-radiotherapy (ART) that considers modifications in patient setup and anatomy. Through effi...

Identifying Candidates for Endobronchial Valve (EBV) Treatment for Patients with Moderate to Severe Emphysema: Exploring the Use of Estimated Lung Elasticity Using a Biomechanically Based Model Derived from CT Image Data

Authors: Ryan Andosca, Peter Boyle, Grace Hyun Kim, Minji Victoria Kim, Michael Vincent Lauria, Michael F. McNitt-Gray, Gabriel Melendez-Corres, Jack Neylon, Brad Stiehl, Pang Yu Teng

Affiliation: David Geffen School of Medicine at UCLA, University of California, Los Angeles, UCLA Department of Radiology, Department of Radiation Oncology, University of California, Los Angeles, UCLA, Cedars-Sinai Medical Center

Abstract Preview: Purpose: Endobronchial Valves (EBV) are one of the few treatment options for patients with moderate to severe emphysema. Eligibility is typically assessed from CT image data analysis including Emphyse...

Impact of Source-to-Imager Distance on Patient-Specific Quality Assurance Using Epid

Authors: Hajee Reyaz Ali Sahib, Sangeeta Hazarika, Muthukumaran Manavalan, Jaswin Raj, Daya Nand Sharma, Seema Sharma, Subramani Vellaiyan

Affiliation: AIIMS NCI Jhajjar, PTW North America Corporation, All India Institute of Medical Sciences

Abstract Preview: Purpose:
Purpose is to investigate the effect of extended source-to-imager distances (SID) on the resolution of VMAT patient-specific quality assurance (PSQA) in portal dosimetry (PD).
Methods:<...

Improve the Risk Prediction of Radiation-Induced Esophagitis in Lung IMRT By an Anisotropic Dose Convolution Neural Network

Authors: Ibtisam Almajnooni, Elisabeth Weiss, Lulin Yuan

Affiliation: Virginia Commonwealth University

Abstract Preview: Purpose: We developed a deep learning neural network (DLNN) to predict the risk of radiation-induced esophagitis (RE) during lung cancer radiation therapy based on the spatial dose distribution, for t...

Improved Setup Accuracy for Dibh Whole Breast Radiotherapy with Surface-Guided Radiation Therapy

Authors: CheukKai Becket Hui, Goldie M. Klein, Yildirim D. Mutaf, Amir Pourmoghaddas

Affiliation: UC Health, Kaiser Permanente

Abstract Preview: Purpose:
In this study, we investigated the effect of SGRT (Align-RT) implementation on patient setup accuracy for DIBH breast radiotherapy treatments.
Methods:
We extracted vertical post-ima...

Innovative Deep Learning Network for Overall Survival Prediction for NSCLC: Outperforming Pre-Trained Models VGG16 and ResNet50

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: Early-stage NSCLC patients undergoing SBRT often die due to intercurrent illnesses. However, prediction of overall survival (OS) remains crucial due to the risk of disease recurrence. This st...

Integrating Radiomics and ADC Ratio for Multicenter Prostate Cancer Diagnosis: A Harmonized Machine Learning Approach

Authors: George Agrotis, Marios Myronakis, Dimitrios Samaras, Kyriaki Theodorou, Ioannis Tsougos, Vassilios Tzortzis, Maria Vakalopoulou, Alexandros Vamvakas, Aikaterini Vassiou, Marianna Vlychou

Affiliation: Medical Physics Department, Medical School, University of Thessaly, Department of Radiology, University of Thessaly, Netherland Cancer Institute, Department of Urology, University of Thessaly, CentraleSupelec, University Paris-Saclay

Abstract Preview: Purpose: Prostate cancer (PCa) diagnosis remains challenging due to discrepancies in Gleason Scoring (GS) and risks of overdiagnosis and underdiagnosis. Multiparametric MRI (mpMRI), including Apparent...

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...

Investigating Pitch Factor on Plan Quality in Patients Treated with Hippocampal Avoidance Whole Brain Radiotherapy Using Volo Ultra-Optimized Helical Tomotherapy Plans

Authors: Awens Alphonse, Nebi Demez, Noufal Manthala Padannayil, Shyam Pokharel, Suresh Rana, Lauren A. Rigsby, Gagandeep Saini, Nishan Shrestha, Somol Sunny

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

Abstract Preview: Purpose: This study examined the impact of varying the pitch factor in hippocampal-avoidance whole-brain (HP-WB) radiotherapy treatments, utilizing the newly introduced VOLO Ultra optimization for Hel...

Investigating the Dosimetric Impact of Margin Reduction for Head and Neck Sequential Boost Treatments with Online Adaptive Radiotherapy

Authors: Jimmy Caudell, Eduardo G. Moros, Nour Nasser, Gage H. Redler, George Yang

Affiliation: Moffitt Cancer Center

Abstract Preview: Purpose: Dosimetric evaluation of PTV margin reduction for Head and Neck(H&N) sequential boost plans using the Ethos online adaptive radiotherapy(oART) system to investigate the tradeoff in decreased ...

Knowledge-Based Online Adaptive Proton Stereotactic Ablative Radiotherapy (SABR) for Localized Prostate Cancer Using Gaussian Process Regression

Authors: Hania A. Al-Hallaq, Duncan Henry Bohannon, Chih-Wei Chang, Anees H. Dhabaan, Vishal Dhere, H Scott McGinnis, Pretesh Patel, Sagar Patel, Keyur Shah, Xiaofeng Yang, Jun Zhou

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

Abstract Preview: Purpose: Two-fraction proton SABR is an attractive alternative to brachytherapy for localized prostate cancer. However, potential interfractional anatomical changes necessitate online adaptation, espe...

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

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

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

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

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...

Leveraging Hybrid Quantum Solvers for Eye Plaque Brachytherapy Treatment Planning Optimization

Authors: Xianjin Dai, PhD, Wu Liu, Eric Nguyen, Lei Xing, Lewei Zhao

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

Abstract Preview: Purpose: Recent developments in hybrid quantum solvers, which combine quantum and classical processing, enable greater flexibility to tackle problems outside the limited scope of pure quantum computin...

Linac Based Dose-Escalated Radiation Therapy for Pancreatic Cancer: Assessing Respiratory Motion

Authors: Neal Andruska, Lianna D. DiMaso-Myers

Affiliation: Northwestern Medicine

Abstract Preview: Purpose: To provide details on how our clinic assesses respiratory motion during treatment of a pancreatic adenocarcinoma during dose escalated radiation therapy on a linear accelerator with the aid o...

Lu-177 Recovery Coefficients Using Tc-99m Surrogate Method: Intra- & Inter-Scanner Comparison

Authors: Ben Piacitelli, Celeste Winters

Affiliation: OHSU, Department of Diagnostic Radiology, Oregon Health & Science University

Abstract Preview: Purpose: To compare recovery coefficients measured with Lu-177 and Tc-99m with the goal of assessing accuracy of the Tc-99m surrogate method and comparing RC reproducibility between scanners of the sa...

Lymph Node Dose Is Associated with Immune Suppression and Poor Overall Survival in Locally Advanced Non-Small Cell Lung Cancer (NSCLC)

Authors: Ryan Gentzler, Xin He, James Larner, J.T. Morgan, Cam Nguyen, Wendy Stewart, Krishni Wijesooriya, Grant Williams

Affiliation: Department of Physics, University of Virginia, Department of Radiation Oncology, University of Virginia, Division of Hematology & Oncology, Department of Medicine, University of Virginia

Abstract Preview: Purpose: Some recent studies have shown Overall Survival (OS) of advanced-stage lung cancer patients treated with chemo-radiation therapy (CRT) is correlated with heart dose [1-5], while in other stud...

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 ...

Machine Learning Model for Early Prediction of Chemoradiotherapy Response in Oropharyngeal Cancer Patients

Authors: Waleed Mutlaq Almutairi, Ke Colin Huang, Vishwas Mukundan, Christopher F. Njeh, Oluwaseyi Oderinde, Yong Yue

Affiliation: Purdue University, Indiana University School of Medicine, Department of Radiation Oncology, Advanced Molecular Imaging in Radiotherapy (AdMIRe) Research Laboratory, Purdue University, West Lafayette, Indiana, USA

Abstract Preview: Purpose:
This study aimed to develop a machine learning (ML) model for early prediction of chemoradiotherapy (CRT) response in order to enhance personalized treatment selection for oral or orophary...

Mesial Temporal Tau-PET Is Related to Diffusion Tensor Imaging Outcomes in Adults with Down Syndrome

Authors: Andrew Alexander, Brecca Bettcher, Bradley T Christian, Jose Guerrero-Gonzalez, Steven Kecskemeti, Lisette LeMerise, Max McLachlan, Andrew McVea, Matthew Zammit

Affiliation: University of Wisconsin-Madison School of Medicine and Public Health and Waisman Center

Abstract Preview: Purpose: Individuals with Down syndrome (DS) develop Alzheimer’s Disease (AD) with very high prevalence (>90%). Neuropathology includes amyloid plaque (AÎČ) accumulation, followed by neurofibrillary ta...

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...

Minimizing Positioning Errors in Intracranial SRS: The Role of Verification Imaging after 6-Dof Corrections

Authors: Anthony J. Doemer, Yimei Huang, Benjamin Movsas, Ellen Park, Mira Shah, Salim Siddiqui, Karen C. Snyder, Kundan S Thind, Bo Zhao

Affiliation: Henry Ford Health

Abstract Preview: Purpose: The 6 degrees-of-freedom (6-DoF) robotic couch is considered essential for linac-based stereotactic radiosurgery (SRS), particularly for irregularly shaped targets adjacent to critical organs...

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

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

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

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

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...

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

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

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

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

Multi-Path Deep Learning Model for Predicting Post-Radiotherapy Functional Liver Imaging in Patients with Hepatocellular Carcinoma

Authors: Smith Apisarnthanarax, Stephen R. Bowen, Sunan Cui, Jie Fu, Clemens Grassberger, Yulun He, Yejin Kim, Matthew J. Nyflot, Sharon Pai

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

Abstract Preview: Purpose: 99mTc-sulfur colloid SPECT imaging enables quantitative assessment of voxel-wise liver function in patients with hepatocellular carcinoma (HCC). Accurately predicting post-radiotherapy (RT) l...

Multi-Variat, Multi-Model, and Multi-Patient: From Pure Feasibility to Generalizability in Machine Learning Outcome Prediction Model-Based Treatment Plan Optimization

Authors: Martin Frank, Oliver JĂ€kel, Niklas Wahl

Affiliation: Department of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Karlsruhe Institute of Technology (KIT)

Abstract Preview: Purpose: Machine learning (ML) models on normal tissue complication and tumor control probability ((N)TCP) exploiting e.g. dosiomic and radiomic features are playing an increasingly important role in ...

Multiparametric and Low-Field MRI for Biomimetic MRI-Readable Gel Dosimeters

Authors: Kaitlyn M Betz, David Dunkerley, Eric Johnson, Kalina V Jordanova, Kathryn E. Keenan, Samuel D Oberdick, Gregory P. Penoncello, Stephen E Russek

Affiliation: Dept of Radiology, Stanford, University of Colorado School of Medicine, NIST, College of Wooster

Abstract Preview: Purpose: Examine use of low-field MRI and multiparametric analysis for 3D MRI-readable biomimetic gel dosimetry. Low-field MRIs are compact, inexpensive, and portable. They could be located within rad...

NTCP Modeling of Skin Systemic Sclerosis 12 Months Post Radiotherapy for Head & Neck Cancer

Authors: Gregory A Azzam, Danielle Cerbon, Laura Huang, Panayiotis Mavroidis, Diana Molinares, Stuart E Samuels, Sotirios Stathakis

Affiliation: Mary Bird Perkins Cancer Center, University of Miami Sylvester Comprehensive Cancer Center, Mount Vernan Rehabilitation Medicine Associates, Department of Radiation Oncology, University of Miami, University of North Carolina

Abstract Preview: Purpose: This study aims at performing a normal tissue complication probability (NTCP) modeling by fitting the doses to the skin, sternocleidomastoid (SCM) muscle and subcutaneous tissue (subcut) stru...

Novel Approach to Improve Treatment Planning Process for Mixed Fractionation Schemes on ZAP-X

Authors: Michael Evan Chaga, Timothy Chen, Darra M. Conti, Shabbar Danish, Jing Feng, Wenzheng Feng, Joseph Hanley, Tingyu Wang

Affiliation: Hackensack Meridian Health, Jersey Shore University Medical Center

Abstract Preview: Purpose: Using mixed fractionation schemes is a common technique in treating CNS lesions. This article describes an innovative plan-and-split approach for more efficient planning on the ZAP-X and thus...

Novel Use of 3D Printing for Pre-Operative Dose Estimation in the First Case of Gammatile Spine Implantation

Authors: Ali Al Asadi, Amanda Lynn DiCarlo, Anthony J. Doemer, Jessie Y. Huang, Ian Y Lee, Alexandra Moceri, Adam Robin, Lisa Scarpace, Mira Shah, Salim Siddiqui, Kundan S Thind

Affiliation: Henry Ford Innovations, Henry Ford Health

Abstract Preview: Purpose: For a patient who had two previous courses of external beam therapy for rectosigmoid adenocarcinoma and presented with painful, recurrent disease in the sacrum, this study describes the first...

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

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

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

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

Optimizing Atlas Counts for MRI-Guided Atlas-Based Autosegmentation of Swallowing Muscles in Head and Neck Radiotherapy

Authors: Zayne Belal, Rachel Drummey, Clifton David Fuller, Stephen Y. Lai, Brigid A. McDonald, Setareh Sharafi, Sonja Stieb, Kareem Abdul Wahid

Affiliation: Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Department of Radiation Oncology, Hospital of the University of Pennsylvania, Department of Radiology, Johns Hopkins University, KSA-KSB, Cantonal Hospital Aarau, College Of Osteopathic Medicine, NOVA Southeastern University, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center

Abstract Preview: Purpose:
Radiotherapy-induced dysphagia can significantly impair head and neck (H&N) cancer patients’ quality of life. Despite the dose-dependent relationship between radiotherapy and dysphagia, sw...

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 EBRT Workflow: Impact of Physics-Managed, Centralized Task Scheduling on Treatment Timeliness

Authors: Carl D. Elliston, Michael J. Price, Adam C. Riegel, Yi-Fang Wang

Affiliation: Columbia University Irving Medical Center

Abstract Preview: Purpose: To quantify the impact on the timely initiation of EBRT patient treatments when a workflow is implemented for which a core team of physicists (CTP) oversees the scheduling of all patient-cent...

Optimizing Lung SBRT Delivery: Role of Multiple Cbcts in Managing Intra-Fraction Motion

Authors: Anthony J. Doemer, Ian Gallagher, Yimei Huang, Jeff A. Riess, Kundan S Thind, Bo Zhao

Affiliation: Henry Ford Health

Abstract Preview: Purpose: Stereotactic body radiation therapy (SBRT) is commonly used for early-stage lung cancer. While pre-treatment CT captures some tumor motion, it may not fully represent intra-fraction motion du...

PET Guided Radiation Therapy for Large Planning Target Volume Expansions of Small PET-Active Gross Tumor Volumes

Authors: Sarah Dumont, Trevor Ketcherside, An Liu, William T. Watkins, Qiuyun Xu

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

Abstract Preview: Purpose:
The RefleXion X1 SCINTIX algorithm convolves beam fluence with real-time PET distributions for tracking and plan adaptation, but radiotherapy Planning Target Volumes (PTVs) are often signi...

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

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

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

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

Patient-Specific Imaging Modality Agnostic Virtual Digital Twins Modeling Temporally Varying Digestive Motion

Authors: James M. Balter, Lando S. Bosma, Jorge Tapias Gomez, Nishant Nadkarni, Mert R Sanbuncu, William Paul Segars, Ergys D. Subashi, Neelam Tyagi, Harini Veeraraghavan

Affiliation: University of Michigan, The University of Texas MD Anderson Cancer Center, Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Carl E. Ravin Advanced Imaging Laboratories and Center for Virtual Imaging Trials, Duke University Medical Center, Cornell University, University Medical Center Utrecht, Memorial Sloan Kettering Cancer Center

Abstract Preview: Purpose: Develop patient-specific virtual digital twin (VDT) cohorts modeling physically realistic spatio-temporal gastrointestinal (GI) organs (stomach and duodenum) digestive motion.
Methods: Pat...

Performance Evaluation of End-of-Life Epid Panel Utilizing Automated Quality Assurance Test Suite

Authors: Michael Paul Barnes, Lana C. Critchfield, John J. DeMarco, Ellie Durussel, Nilendu Gupta, James Irrer, Peyton Jensen, Grace Gwe-Ya Kim, Cory S. Knill, Seng Boh Gary Lim, Justin K. Mikell, Jean M. Moran, Seyyedeh Azar Oliaei Motlagh, Mario Perez, Michael Pillainayagam, Claire Zhang

Affiliation: University of Michigan, Department of Radiation Oncology, University of Michigan, Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Department of Radiation Oncology, The Ohio State University Wexner Medical Center, Washington University School of Medicine in St. Louis, University of California San Diego, Royal North Shore Hospital, Calvary Mater Hospital Newcastle, Cedars-Sinai Medical Center

Abstract Preview: Purpose: EPIDs are widely used in linac QA due to their efficiency and accuracy. As EPIDs age, performance degradation may occur, potentially compromising reliability of EPID-based automated QA result...

Posterior-Mean Diffusion Model for Realistic PET Image Reconstruction

Authors: Osama R. Mawlawi, Yiran Sun

Affiliation: RICE University, UT MD Anderson Cancer Center

Abstract Preview: Purpose: Conventional PET reconstruction methods often produce noisy images with artifacts due to data/model mismatches and inconsistencies. Recently, deep learning-based conditional denoising diffusi...

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...

Predicting Prostate Cancer Recurrence Using an Atlas-Based Tumor Control Probability Model

Authors: Jeremy T. Booth, Martin Andrew Ebert, Robert Finnegan, Annette Haworth, George Hruby, Burhan Javed, Kazi Ridita Mahtaba, Leyla Moghaddasi, Yutong Zhao

Affiliation: Northern Sydney Cancer Centre, Royal North Shore Hospital, The University of Sydney, The University of Western Australia, Genesis Care, Rockhampton Hospital

Abstract Preview: Purpose:
To evaluate the efficacy of an atlas-based tumor control probability (TCP) model in predicting prostate cancer (PCa) recurrence by retrospectively integrating patient-specific primary radi...

Predicting and Monitoring Response to Head and Neck Cancer Radiotherapy Using Multi-Modality Imaging and Radiobiological Digital Twin Simulations

Authors: Eric Aliotta, Michalis Aristophanous, Joseph O. Deasy, Bill Diplas, Milan Grkovski, James Han, Vaios Hatzoglou, Jeho Jeong, Nancy Y Lee, Ramesh Paudyal, Nadeem Riaz, Heiko Schoder, Amita Shukla-Dave

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

Abstract Preview: Purpose: To forecast radiotherapy treatment response for head and neck cancer (HNC) using multimodality imaging and personalized radiobiological modeling.
Methods: Multi-modality imaging data from ...

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...

Quantification of Global Dosimetry Audit Performance: Assessing the Sensitivity and Specificity of Dosimetry Audits to Establish Reciprocity Among Different International Clinical Trials Credentialing Organizations

Authors: Fre'Etta Brooks, Catharine H Clark, Patricia Diez, Peter B. Greer, Hideaki Hirashima, Rebecca M. Howell, Mohammad Hussein, Stephen F. Kry, Joerg Lehmann, Jessica Lye, Mitsuhiro Nakamura, Christopher L. Nelson, Rushil Patel, Christine Peterson, Julianne M. Pollard-Larkin

Affiliation: Kyoto University, The University of Texas MD Anderson Cancer Center, Radiotherapy Trials Quality Assurance Group, Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Department of Medical Physics & Biomedical Engineering, University College London, Metrology for Medical Physics, National Physical Laboratory, Austin Health, University of Washington Medical Center, University of Newcastle

Abstract Preview: Purpose: To assess the consistency of end-to-end dosimetry audits currently used by different international clinical trial QA organizations with the goal of harmonizing audits and reducing audit overl...

Radiation Sub-Segmentectomy in 90y Radioembolization: Post-Therapy Dosimetry, Treatment Response, and Pathological Necrosis

Authors: Guilherme Rosa Ferreira, Dan Giardina, John Karageorgiou, Chris Malone, Allan Thomas

Affiliation: Washington University School of Medicine, Mallinckrodt Institute of Radiology, Washington University School of Medicine

Abstract Preview: Purpose: Radiation segmentectomy has become a primary strategy in 90Y radioembolization, with localized treated volumes that can include up to two liver segments. The goal is complete pathological nec...

Rapid Reconstruction of Extremely Accelerated Liver 4D MRI Via Chained Iterative Refinement

Authors: Mary Feng, Yi Lao, Hui Lin, Hengjie Liu, Xin Miao, Michael Ohliger

Affiliation: University of California, Los Angeles, Department of Radiation Oncology, University of California San Francisco, Department of Radiation Oncology, City of Hope National Medical Center, University of California San Francisco, Siemens Medical Solutions USA Inc.

Abstract Preview: Purpose: 4D MRI with high spatiotemporal resolution is vital to characterize the tumor/tumor motion for liver radiotherapy. However, high-quality 4D MRI requires an impractically long scanning time fo...

Recovery Factor Comparisons for Reirradiation Overlapping the Spinal Cord

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

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

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

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

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

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

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

Refining the in-House Modified COMS Eye Plaque Workflow

Authors: Vishruta A. Dumane, Andrew Lukban, Kiran Pant, Charlotte Elizabeth Read, Ren-Dih Sheu, Nadia M. Vassell

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

Abstract Preview: Purpose: This work introduces a refined in-house modified COMS eye plaque management system to streamline processes, reduce redundancies, and enhance usability.
Methods: A web-based application wit...

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...

Revealing Unseen Risks: Hands-on Technologist Education to Prevent MRI Incidents Using Ferromagnetic Detecting Wands

Authors: Chris Beasley, Ngara Linda Bird, Flora Ivanova, Erin B. Macdonald, Lauren M. Neldner, Beth Reed, Scott H. Robertson

Affiliation: School of Medicine, Duke University, Duke University, Duke University Health System

Abstract Preview: Purpose: To develop a hands-on, data-driven educational program to improve MRI technologists' understanding and effective use of ferromagnetic detecting (FMD) wands.
Methods: A 30-minute interactiv...

Significantly Limiting Posterior Gantry Angles in Prostate VMAT Optimization: A Dosimetric Assessment of Plan Quality

Authors: Yijian Cao, Sean T Grace, Marissa Joyce Vaccarelli

Affiliation: Northwell

Abstract Preview: Purpose:
This study investigates the dosimetric efficacy of significantly limiting gantry angles in prostate radiation therapy to as a promising strategy to maintain plan quality while enhancing ma...

Spatially Aware Radiomics Integrating Anatomical Knowledge to Improve Lymph Node Malignancy Prediction in Head and Neck Cancer

Authors: Liyuan Chen, Sepeadeh Radpour, David Sher, Jing Wang

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

Abstract Preview: Purpose: Accurate lymph node malignancy prediction is pivotal in optimizing radiation treatment strategies for head and neck (HN) cancer patients. While conventional radiomics models leverage intensit...

Standardized Immobilization and Setup Procedure Improves Accuracy of Multi-Time Point SPECT/CT Image Registration for Radiopharmaceutical Therapy (RPT) Dosimetry

Authors: Bryan Bednarz, Laura Bennett, Abby E. Besemer, Tyler J Bradshaw, Steve Y Cho, John M. Floberg, Joseph Grudzinski, Elissa Khoudary, Michael J. Lawless

Affiliation: Department of Radiology, University of Wisconsin, University of Wisconsin-Madison Department of Medical Physics, Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin - Madison, Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, Voximetry, Inc, University of Pennsylvania, Department of Radiology, University of Wisconsin - Madison, Department of Human Oncology, University of Wisconsin-Madison

Abstract Preview: Purpose: To assess the impact of using a standardized immobilization setup for multi-time-point SPECT/CT imaging on radiopharmaceutical therapy (RPT) dosimetry image registration.

Methods: Ten ...

The Development of Large Field MR Guided Radiotherapy for Pelvic Lymph Node SBRT and Its Dosimetry Improvement

Authors: David Byun, Ting Chen, Paulina E. Galavis, Allison McCarthy, Hesheng Wang, Michael J Zelefsky

Affiliation: NYU Langone Health

Abstract Preview: Purpose: To summarize a MR guided adaptive workflow developed for pelvic lymph nodes (PLN) stereotactic radiotherapy using large field size on Elekta Unity© MR Linac system, and to quantitatively anal...

The Feasibility of Ethos-Based Pulsed Reduced Dose-Rate (PRDR) Radiotherapy

Authors: Chia-Lung Chien, Renteng Hou, Wen C. Hsi, Faraz Kalantari, Ganesh Narayanasamy, Zhong Su

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

Abstract Preview: Purpose:
PRDR is an effective re-irradiation treatment for patients who have already reached the tolerance dose to their organs at risk (OARs). While PRDR is implemented on TrueBeam by limiting the...

The Unspoken Impact of Couch Sag on Breathing-Traces Collected during Patient Simulation

Authors: Giorgi Archuadze, William P. Donahue, David Kanchaveli, Shih-Chi Lin, Sebastian Meyer, Grace Tang

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

Abstract Preview: Purpose: Breathing traces captured at simulations are often used for deep-inspiration breath-hold (DIBH) treatments. However, systematic drift can occur in the traces that is unrelated to the patients...

To Investigate the Utility of Magnetic Resonance Imaging (MRI)-Based Radiomics for Predicting Tumor Response and Adverse Effects, Specifically Gastrointestinal (GI) Toxicity, in Cervical Cancer Patients Undergone Radiotherapy.

Authors: Issam M. El Naqa, Kurukulasuriya Ruwani Fernando, Himani Himani, Vivek Kumar, Arun Oinam, Manju Sharma

Affiliation: Panjab University, Moffitt Cancer Center, H. Lee Moffitt Cancer Center, Post Graduate Institute of Medical Sciences, University of California San Francisco

Abstract Preview: Purpose: To investigate the utility of Magnetic Resonance Imaging (MRI)-based radiomics for predicting tumor response and adverse effects, specifically gastrointestinal (GI) toxicity, in cervical canc...

Tumor Response to Catalytic Effect of Carbamide Peroxide to Megavoltage Radiodynamic Therapy with 5-Aminolevulinic Acid

Authors: Lili Chen, Dusica Cvetkovic, Chang Ming Charlie Ma, Dae-Myoung Yang

Affiliation: Fox Chase Cancer Center

Abstract Preview: Purpose: Cytotoxicity caused by the reactive oxygen species (ROS) is a mechanism for treating cancer cells in radiation therapy. 5-aminolevulinic acid (5-ALA)-mediated radiodynamic therapy (RDT), whic...

Ultrafast Proton Delivery with Pin Ridge Filters (pRFs): A Novel Approach for Motion Management in Proton Therapy

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

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

Abstract Preview: Purpose: Active breath-hold techniques effectively mitigate respiratory motion but poses challenges for patients who are unable to tolerate the procedure. Conventional planning relies on multiple ener...

Using Machine Learning to Predict Esophagitis Risk in Lung Cancer Radiotherapy Based on Clinical and Dosimetric Factors

Authors: Ibtisam Almajnooni, Siyong Kim, Nathaniel Miller, Elisabeth Weiss, Lulin Yuan

Affiliation: Virginia Commonwealth University

Abstract Preview: Purpose: Radiation-induced esophagitis (RE) is a common concern in lung cancer IMRT. Recent studies have indicated that the risk of radiation side effects varies greatly with patients’ baseline clinic...

Utilizing Multiple Modalities to Improve Models to Predict Changes in International Prostate Score for Prostate Cancer

Authors: Matthew C Abramowitz, Alan Dal Pra, Rodrigo Delgadillo, Nesrin Dogan, John C. Ford, Kyle R. Padgett, Levent Sensoy, Benjamin Spieler, Matthew T. Studenski, Jace Allen Walker

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

Abstract Preview: Purpose:
Toxicities that affect a patient’s quality-of-life due to prostate cancer (pCa) radiation therapy (RT) are receiving more attention as RT has become increasingly successful in treating pCA...

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...

Year-Long Evaluation of Online Dwell Position Corrections on a Remote Afterloader with Automatic Length Measurements for HDR Brachytherapy

Authors: Michael B. Altman, Sharbacha Edward, Jose L. Garcia Ramirez, Anamaria Guta, Elizabeth Gaines Jeong, Justin K. Mikell, Phillip D. H. Wall, Jacqueline Esthappan Zoberi

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

Abstract Preview: Purpose: Modern HDR remote afterloaders (RAL) are equipped with enhanced safety features for accurate source positioning. However, little guidance is provided on the use of these features. We have cli...