Authors: Steve Braunstein, Yannet Interian, Hui Lin, Bo Liu, Janine Lupo, Olivier Morin, Benedict Neo
Affiliation: Radiation Oncology, University of California San Francisco, Graduate Program in Bioengineering, University of California San Francisco-UC Berkeley, Department of Radiation Oncology, University of California San Francisco, Department of Data Science, University of San Francisco, University of San Francisco
Abstract Preview: Purpose: Large Language Models (LLMs) demonstrate strong general text comprehension but remain limited in oncology due to insufficient contextual alignment. We pilot embedding alignment through radiol...
Authors: Raneem Atta, Alejandro Bertolet, Mislav Bobić, Wesley E. Bolch, Robert Joseph Dawson, Carlos Huesa-Berral, Harald Paganetti, Eric Wehrenberg-Klee
Affiliation: Massachusetts General Hospital, University of Florida, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Massachusetts General Hospital and Harvard Medical School, Department of Radiology, Massachusetts General Hospital and Harvard Medical School
Abstract Preview: Purpose: Representations of intra-organ vasculature have a variety of uses in the field of computational dosimetry but generally rely on models derived from population-averaged reference individuals. ...
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 β-emitter, and SPECT-imaging is only available through subsequent bremss...
Authors: Derek Tang, Susu Yan
Affiliation: Massachusetts General Hospital
Abstract Preview: Purpose: To evaluate the performance of a multi-task automated-segmentation and synthetic CT generation model (sCT) and investigate its application in an adaptive proton therapy workflow.
Methods: ...
Authors: Alexander Bookbinder, Matthew Tivnan, Xiangyi Wu, Wei Zhao
Affiliation: Stony Brook Medicine, Massachusetts General Hospital
Abstract Preview: Purpose: To investigate and benchmark a system-adaptive diffusion-based digital breast tomosynthesis (DBT) denoising model for a direct-indirect dual-layer flat panel detector (DI-DLFPD) with a k-edge...
Authors: Alejandro Bertolet, Isaac Meyer, Harald Paganetti, Jan PO Schuemann, Wook-Geun Shin
Affiliation: Massachusetts General Hospital, Massachusetts General Hospital and Harvard Medical School
Abstract Preview: Purpose: To develop a methodology for Monte Carlo modeling of cell-specific DNA geometries based on Hi-C data using TOPAS-nBio, and to evaluate early DNA damage distributions.
Methods: Hi-C data of...
Authors: Michael Ashenafi, Nicholas Becerra Espinosa, Mario Ramos Gallardo, Matthew Pacella, Sean M. Tanny
Affiliation: Department of Radiation Oncology, University of Rochester
Abstract Preview: Purpose: The newest version of a large commercial treatment planning system (TPS) has introduced a new physical MLC model. We compare the impact of using an averaged dosimetric leaf gap (DLG) value ve...
Authors: Shifeng Chen, Mariana Guerrero, Michael J. MacFarlane, Huijun Xu, Baoshe Zhang, Jinghao Zhou
Affiliation: University of Maryland School of Medicine, Department of Radiation Oncology, University of Maryland School of Medicine, Capital Region Medical Center, University of Maryland Shore Regional Cancer Center
Abstract Preview: Purpose: The clinical value of surface-guided radiotherapy (SGRT) in prone breast cancer setups is much less established than in supine setups. This study explores SGRT's potential for prone breast pa...
Authors: Gweneth Andersen, Colleen M. Foote, David (Bo) McClatchy, Hannah McFarland
Affiliation: Massachusetts General Hospital
Abstract Preview: Purpose: To quantify the impact of MLC model differences and LINAC age on treatment plan evaluation by log file-based patient-specific QA (PSQA) through the lifetime of the machines.
Methods: 3D ga...
Authors: Alejandro Bertolet, Jose Antonio Lopez-Valverde, Victor V. Onecha, Daniel Puerta
Affiliation: Dana Farber Cancer Institute/Brigham and Women's Hospital, Departamento de Física Atómica, Molecular y Nuclear, Universidad de Granada, Massachusetts General Hospital and Harvard Medical School
Abstract Preview: Purpose: Besides its superior dose conformity, proton therapy induces greater damage to tissue than conventional radiotherapies. This increased damage is usually quantified through the concept of rela...
Authors: Wesley E. Bolch, Chansoo Choi, Chan Hyeong Kim, Suhyeon Kim, Bangho Shin, Yeon Soo Yeom
Affiliation: Hanyang University, University of Florida, 2) Department of Radiation Convergence Engineering, Yonsei University
Abstract Preview: Purpose: Task Group 103 of International Commission on Radiological Protection (ICRP) recently released new-generation adult and pediatric mesh-type reference computational phantoms (MRCPs) via ICRP P...
Authors: Caroline Esposito, Keith T Griffin, Jae Won Jung, Choonik Lee, Choonsik Lee, Matthew Mille, Harald Paganetti, Sergio Morato Rafet, Jan PO Schuemann, Jungwook Shin, Torunn I Yock
Affiliation: East Carolina University, University of Michigan, Massachusetts General Hospital, National Cancer Institute, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Massachusetts General Hospital and Harvard Medical School
Abstract Preview: Purpose: The National Cancer Institute’s Pediatric Proton and Photon Therapy Comparison Cohort aims to collect and analyze data from cancer centers across the United States and Canada to quantify diff...
Authors: Amy Berrington de Gonzalez, Keith T Griffin, Jae Won Jung, Cari M Kitahara, Choonik Lee, Choonsik Lee, Aimee L McNamara, Matthew Mille, Harald Paganetti, Sergio Morato Rafet, Jan PO Schuemann, Jungwook Shin, Torunn I Yock
Affiliation: University of Michigan, East Carolina University, Massachusetts General Hospital, National Cancer Institute, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Massachusetts General Hospital and Harvard Medical School, Institute of Cancer Research
Abstract Preview: Purpose: Radiotherapy dose reconstruction enables retrospective epidemiological studies that connect late health effects to the organ-absorbed radiation doses received during treatment. Though clinica...
Authors: Yuqi Yang, Fang-Fang Yin
Affiliation: Duke Kunshan University, Medical Physics Graduate Program, Duke Kunshan University
Abstract Preview: Purpose: Reactive oxygen species (ROS) are unstable molecules which play important roles in the cellular process after Flash radiotherapy. The rapid changes in ROS levels during treatment may provide ...
Authors: Yang Sheng, Qingrong Jackie Wu, Qiuwen Wu, Xin Wu, Dongrong Yang
Affiliation: Duke University Medical Center
Abstract Preview: Purpose:
This study aims to leverage large language model (LLMs) to develop a human-in-the-loop agentic framework, enhancing the efficiency of treatment planning in radiotherapy.
Methods:
A L...
Authors: John P. Aris, Wesley E. Bolch, Chansoo Choi, Carlos G. Colon-Ortiz, Robert Joseph Dawson, Abdul-Vehab Dozic, Amy M. Geyer, Harald Paganetti, Shreya P. Pathak, Julia D. Withrow
Affiliation: St. Luke's Health System, Massachusetts General Hospital, University of Florida
Abstract Preview: Purpose: The goal of this study was to enhance the accuracy of renal dosimetry in radiopharmaceutical therapy (RPT) by developing a more detailed and precise kidney model. In RPT, accurate dose estima...
Authors: James Chun Lam Chow, Kay Li
Affiliation: University of Toronto, Princess Margaret Cancer Centre
Abstract Preview: Purpose: This study explores the caution needed when using Generative AI for assessing radiotherapy ethics, highlighting Geoffrey Hinton’s warnings about the risks of relying solely on AI for ethical ...
Authors: Madan M. Rehani
Affiliation: Massachusetts General Hospital
Abstract Preview: N/A...
Authors: Wouter Crijns, Frederik Maes, Loes Vandenbroucke, Liesbeth Vandewinckele
Affiliation: Department of Oncology, Laboratory of Experimental Radiotherapy, KU Leuven; Department of Radiation Oncology, UZ Leuven, Department ESAT/PSI, KU Leuven; Medical Imaging Research Center, UZ Leuven, Department of Oncology, Laboratory of Experimental Radiotherapy, KU Leuven
Abstract Preview: Purpose: To explore intentional deep overfit learning (IDOL) to exploit the initial treatment plan to predict an adaptive radiotherapy plan.
Methods: A conditional generative adversarial network is...
Authors: Ali Ajdari, Thomas R. Bortfeld, Zhongxing Liao, Mara Schubert, Katrin Teichert
Affiliation: The University of Texas MD Anderson Cancer Center, Department Of Radiation Oncology, Massachusetts General Hospital (MGH), Massachusetts General Hospital & Harvard Medical School, Fraunhofer ITWM
Abstract Preview: Purpose: Radiotherapy (RT) treatment planning often involves solving a multi-criteria optimization (MCO) problem. Conventionally, MCO considers a set of generic (population-wide) dosimetric criteria, ...
Authors: Qianxi Ni, Qionghui Zhou
Affiliation: The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University
Abstract Preview: Purpose:
This study aims to develop and evaluate interpretable machine learning models that use radiomic and dosimetric features to predict HT in advanced cervical cancer patients.
Methods:
R...
Authors: Alejandro Bertolet, Jorge Naoki Dominguez Kondo, Bruce A. Faddegon, Kathryn D Held, Nicolas Henthorn, Jay LaVerne, Thongchai Masilela, Stephen J. McMahon, Isaac Meyer, Victor V. Onecha, Harald Paganetti, Jose A. Ramos-Mendez, Jan PO Schuemann, Wook-Geun Shin, Michael Taylor, John Warmenhoven
Affiliation: Massachusetts General Hospital, Queen's University Belfast, Massachusetts General Hospital and Harvard Medical School, University of California San Francisco, University of Manchester, Notre Dame University
Abstract Preview: Purpose: TOPAS-nBio brings a cutting-edge Monte Carlo (MC) simulation framework to the research community to test hypotheses of radiation effects at the nanometer/cell scale. Here, we present the deve...
Authors: Mingli Chen, Xuejun Gu, Hao Jiang, Mahdieh Kazemimoghadam, Weiguo Lu, Qingying Wang, Zi Yang, Kangning Zhang
Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, Department of Radiation Oncology, Stanford University School of Medicine
Abstract Preview: Purpose: Dose prediction (DP) is essential in guiding radiotherapy planning. However, current DP models for intensity-modulated radiation therapy (IMRT) primarily rely on fixed-beam orientations and a...
Authors: Jie Deng, Yunxiang Li, 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: Magnetic Resonance Imaging (MRI) has exceptional soft tissue contrast and an essential role in radiotherapy. The introduction of clinical MR-LINACs has enabled adaptive radiotherapy (ART) usi...
Authors: Claus Belka, Stefanie Corradini, Christopher Kurz, Guillaume Landry, Matteo Maspero, Adrian Thummerer, Erik van der Bijl
Affiliation: Department of Radiation Oncology, LMU University Hospital, LMU Munich, Radboud University Medical Center, UMC Utrecht
Abstract Preview: Purpose: To automatically harmonize non-standardized organ-at-risk (OAR) structure names from multi-lingual, multi-institutional radiotherapy datasets using state-of-the-art open-source reasoning larg...