Authors: Rex A. Cardan, Richard A. Popple
Affiliation: University of Alabama at Birmingham
Abstract Preview: Purpose:
Compliance with TG 263 naming conventions for target structures in radiation oncology remains a challenging task due to the complexity and variability of the protocol. Traditional validati...
Authors: Katelyn M. Atkins, Indrin J. Chetty, Elizabeth M. McKenzie, Taman Upadhaya, Samuel C. Zhang
Affiliation: Department of Radiation Oncology,Cedars-Sinai Medical Center, Cedars-Sinai Medical Center
Abstract Preview: Purpose:
We explored a multi-regional and multi-omics approach to extract CT-based radiomics and 3D dosiomics features to predict radiation pneumonitis (RP) in patients with locally advanced Non-Sm...
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 ...
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...
Authors: Chuan He, Anh H. Le, Iris Z. Wang
Affiliation: Roswell Park Comprehensive Cancer Center, Cedars-Sinai
Abstract Preview: Purpose: To develop a non-measured and DVH-based (NMDB) IMRT QA framework integrating machine learning (ML) to classify lung SBRT VMAT plans prone to delivery errors
Methods: 560 Eclipse AcurosXB l...
Authors: Weigang Hu
Affiliation: Fudan University Shanghai Cancer Center
Abstract Preview: Purpose: The purpose of this study is to introduce a VQVAE-based framework that addresses the limitations of conventional dose prediction methods, which rely on fixed deep learning models that produce...
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...
Authors: Lars R Furenlid, Chiao Huang, Matthew A. Kupinski, Brian W. Miller
Affiliation: University of Arizona, Departments of Radiation Oncology and Medical Imaging, University of Arizona
Abstract Preview: Purpose: To sample correlated k-constants in tissue-compartment model for pharmacokinetic study in targeted alpha therapy.
Methods: This work simulated the biodistribution of PSMA-11 tracers labele...
Authors: Fumiaki Komatsu, Shunsuke Moriya, Ryosuke Nakamura, Takeji Sakae, Toshiyuki Terunuma, Tetsuya Tomita
Affiliation: Graduate School of Comprehensive Human Sciences, University of Tsukuba, Institute of Medicine, University of Tsukuba, Proton Medical Research Center, University of Tsukuba, Department of Radiology, University of Tsukuba Hospital
Abstract Preview: Purpose: To develop a deep learning (DL) model capable of accurately tracking lung tumors independent of beam angle variations.
Methods: A thoracic dynamic phantom simulating lung motion in the sup...
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...
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 ...
Authors: Anupama Chundury, Hyejoo Kang, John C. Roeske, Iris A. Rusu
Affiliation: Loyola University Medical Center, Department of Radiation Oncology, Stritch School of Medicine, Loyola University Chicago, Stritch School of Medicine Loyola University Chicago, Cardinal Bernardin Cancer Center, Loyola University Chicago
Abstract Preview: Purpose: To quantify the dosimetric impact of six degrees of freedom (6DoF) intrafractional errors on gross tumor volume (GTV) and planning target volumes (PTV) for single-isocenter multi-target stere...
Authors: Ndey Badjan, Chris Beasley, Issack Boru, Josh Joyner, Erica Owenby, Scott H. Robertson, Nicholas Said
Affiliation: Duke University Health System
Abstract Preview: Purpose:
To design MRI-visible laterality markers to boost patient safety by minimizing errors in laterality and subsequent procedures.
Methods:
The markers were made using commercially avail...
Authors: Alanah M. Bergman, Marc W Deyell, Tania Karan, Jakob Marshall, Justin Poon, Devin Schellenberg, Steven Thomas, Richard Thompson
Affiliation: University of British Columbia, University of Alberta, BC Cancer
Abstract Preview: Purpose: A conservative approach to account for random errors due to intra-fraction cardiac and respiratory motion during cardiac radioablation (CR) is to define a margin equal to the amplitude of car...
Authors: Alyssa Capizzi, John J Dombrowski, Nabil N. Khater
Affiliation: Saint Louis University
Abstract Preview: Purpose: To evaluate a mask-less adaptable headrest (MAHR) prototype for head-and-neck IMRT designed to reduce random and systematic shifts of patients’ setups. MAHR complements current image-guidance...
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...
Authors: Jonathan Dowell, Wei Luo, Shane McCarthy, Janelle A. Molloy, Markus Murphy
Affiliation: University of Kentucky, Department of Radiation Medicine, Iridesce Solutions, Inc.
Abstract Preview: Purpose: The novel machine quality assurance (QA) device nüFilm (Iridesce Solutions, Lexington KY) allows for an objective assessment of light and radiation fields independent of setup. Herein, the ab...
Authors: Belen Juste, Choonsik Lee, Matthew Mille, Rafael Miró, Sergio Morato Rafet, Agustin Santos, Gumersindo Verdú
Affiliation: Division of Cancer Epidemiology and Genetics, National Cancer Institute, Universitat Politècnica de València, Servicio de Radiofísica y Protección Radiológica, Consorcio Hospitalario Provincial de Castellón, National Cancer Institute
Abstract Preview: Purpose: To evaluate the differences in CT scan radiation dose estimation between personalized dose reconstruction, based on real patient CT images, and generalized phantom-based dose calculations.
Authors: Lian Duan, Stephen F. Kry, Hunter S. Mehrens, Paige A. Taylor
Affiliation: The University of Texas MD Anderson Cancer Center, UT MD Anderson Cancer Center
Abstract Preview: Purpose: To develop a machine learning model for predicting dose delivery accuracy and identifying its key factors in IROC’s proton phantom program.
Methods: IROC’s proton QA program has six proton...
Authors: Ahmad K. Al-Basheer, Andrew Clarke Grice, Kelly E. Hosier, Mark Logsdon, Evan A. Silverstein, Chris Tunnicliff, Chuan Wu
Affiliation: Sutter Medical Foundation, Sutter Health
Abstract Preview: Purpose: For Prostate SBRT Boost treatments, determine whether a uniform 2mm CTV to PTV margin is sufficient to give 95% dose coverage to the CTV in 90% of patients via a modified Van Herk Margin Form...
Authors: Xiaoda Cong, Xuanfeng Ding, Gang Liu, Peilin Liu, Lewei Zhao
Affiliation: Department of Radiation Oncology, Stanford University, Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Corewellhealth William Beaumont University Hospital
Abstract Preview: Purpose:
This study investigates the dosimetric impact of systematic and random gantry position errors (GPE) during dynamic Spot-Scanning Proton Arc Therapy (SPArc) delivery.
Methods:
Four ca...
Authors: Farhad Jafari, Brandon Hai Nguyen
Affiliation: Department of Radiation Oncology, University of Minnesota Medical School, Department of Radiology, University of Minnesota
Abstract Preview: Purpose: To validate a bottom-up approach to dosimetry in nuclear medicine.
Methods: A pharmacokinetic model is developed to represent the flow of activity between different compartments of the...
Authors: Caiden Atienza, Daniel E. Hyer, Samuel D. Rusu, Blake R. Smith, Joel J. St-Aubin
Affiliation: Iowa Health Care, University of Iowa
Abstract Preview: Purpose: Pinnacle3 TPS (Philips Radiation Oncology Systems, Fitchburg, WI, USA) support is set to end by December 31, 2026. This work presents a validated method to archive Pinnacle data, which may be...