Authors: Matthew S Brown, Joshua Genender, John M. Hoffman, Gabriel Melendez-Corres, Muhammad W. Wahi-Anwar
Affiliation: David Geffen School of Medicine at UCLA, UCLA Department of Radiology
Abstract Preview: Purpose: Renal lesions are evaluated using scoring systems based on visual assessments and manual measurements. The purpose of this work is to develop a multi-agent system for automated anatomic landm...
Authors: Zhenzhen Dai, Anthony J. Doemer, Ryan Hall, Kenneth Levin, Bing Luo, Benjamin Movsas, Karen C. Snyder, Kundan S Thind, Eleanor Walker
Affiliation: Henry Ford Health, HFHS
Abstract Preview: Purpose: To investigate the feasibility of a predictive tool for efficient allocation of hypofractionated whole-breast irradiation patients between Varian Truebeam and Ethos systems.
Methods: A ful...
Authors: Ioannis Androulakis, Miranda E.M.C. Christianen, Jérémy Godart, Mischa Hoogeman, Inger-Karine K. Kolkman-Deurloo, Lorne Luthart, Remi A. Nout, Henrike Westerveld
Affiliation: Department of Radiotherapy, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands, Department of Radiotherapy, Erasmus MC Cancer Institute, University Medical Center Rotterdam
Abstract Preview: Purpose:
Despite the advantages of transrectal ultrasound-based treatment planning for HDR prostate cancer brachytherapy which allows on-line treatment delivery in the intraoperative setting, it is...
Authors: Paul L. Carson, Sander Dekker, Stephen Z Pinter, Megan K. Russ
Affiliation: Clinical Imaging Physics Group, Department of Radiology, Duke University Health System, University of Michigan, Cablon Medical B.V., Univ of Michigan, Dept. of Radiology
Abstract Preview: Purpose:
To promote a simplified, inexpensive, but rigorous set of ultrasound QA tests and to evaluate their potential using a Randomly-placed very Hypoechoic Sphere Phantom (RHSP) in comparison to...
Authors: Shanli Ding, Osama R. Mawlawi, Tinsu Pan
Affiliation: UT MD Anderson Cancer Center
Abstract Preview: Purpose:
Reliable detection of anomalies in Gamma Camera/SPECT flood images is vital for quality assurance (QA). Traditional methods relying on numerical thresholds and manual inspections often mis...
Authors: Sven Ferguson, S. Murty Goddu, Ana Heermann, Taeho Kim, Nels C. Knutson, Hugh HC Lee, Shanti Marasini, Timothy Mitchell, Seungjong Oh, Kevin Renick
Affiliation: Washington University in St. Louis School of Medicine, Washington University School of Medicine in St. Louis, Department of Radiation Oncology, Washington University School of Medicine in St. Louis
Abstract Preview: Purpose: In the Gamma Knife stereotactic radiosurgery (GK-SRS), the delineation of organs-at-risks (OARs) was not fully automated. Due to the cumbersome nature of manual OAR contouring, dose evaluatio...
Authors: Ergun E. Ahunbay, Abdul Parchur, Eric S. Paulson, Ilaria Rinaldi, Angelo Schiavi, Li Zhao
Affiliation: Sapienza University of Rome, Department of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht University Medical Centre+, Department of Radiation Oncology, Medical College of Wisconsin
Abstract Preview: Purpose: Online adaptive replanning is often necessary in Intensity Modulated Proton Therapy (IMPT) due to the sensitivity of proton dose distributions to daily anatomical changes. A rapid, automated ...
Authors: Austin Castelo, Xinru Chen, Caroline Chung, Laurence Edward Court, Jaganathan A Parameshwaran, Zhan Xu, Jinzhong Yang, Yao Zhao
Affiliation: The University of Texas MD Anderson Cancer Center, Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Department of Imaging Physics, The University of Texas MD Anderson Cancer Center
Abstract Preview: Purpose:
To develop a deep learning-based segmentation model to automatically delineate tumors from full-body PET/CT images.
Methods:
PET/CT image pairs of 91 patients were collected for this...
Authors: David L. Barbee, David Byun, Matt Long, Jose R. Teruel Antolin, Michael J Zelefsky
Affiliation: NYU Langone Health
Abstract Preview: Purpose:
Online adaptive MR-Linac therapy requires contour adaptation, often adding 20 minutes to treatment time and reducing machine throughput. This study introduces a fully automated MR contour ...
Authors: Muhammad Ramish Ashraf, Dixin Chen, Lloyd Emmanuel Kamole Ghomsi, Edward Elliot Graves, Billy W Loo, Stavros Melemenidis, Joseph B. Schulz, Lawrie Skinner
Affiliation: Department of Radiation Oncology, Department of Radiation Oncology, Stanford University School of Medicine
Abstract Preview: Purpose: Precise beam collimation is essential in preclinical radiotherapy studies to ensure accurate dose delivery. Manual design and fabrication of organ-specific collimators usually consist of mult...
Authors: Shane McCarthy, Damodar Pokhrel, William St. Clair, Eddy S Yang
Affiliation: University of Kentucky, Department of Radiation Medicine
Abstract Preview: Purpose: Demonstration of automated stereotactic treatment planning for recurrent head and neck (RHN) cancers using knowledge-based planning, multicriteria optimization (MCO), and dosimetric scorecard...
Authors: Simon Brundage, Jiajin Fan, Ulrich Langner, Qiongge Li, Jian Liu, Wei Nie, Edwin Quashie, Xiaofeng Zhu
Affiliation: Brown University Health, Hofstra University Medical Physics Program, Inova Hospital, Inova Schar Cancer Institute, Indiana University School of Medicine, Department of Radiation Oncology
Abstract Preview: Purpose:
Managing departmental policies, clinical protocols, QA procedures, workflows, and troubleshooting documentation is critical in radiation oncology. A Microsoft-based wiki platform was devel...
Authors: David L. Barbee, Paulina E. Galavis, Lena Adel Samad, Jose R. Teruel Antolin
Affiliation: NYU, NYU Langone Health
Abstract Preview: Purpose: To validate an automated script that converts treatment plans of varying Varian MLC models
Methods: A C# script was developed using the Eclipse Scripting API to convert treatment plans...
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...
Authors: Chase Cochran, Damodar Pokhrel, William St Clair
Affiliation: University of Kentucky, Department of Radiation Medicine, University of Kentucky, Radiation Medicine
Abstract Preview: Purpose: Currently, intraocular disease is primarily treated via COMS-plaques brachytherapy. Various stereotactic approaches via photons/proton beam have also been implemented (CyberKnife/GammaKnife/p...
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...
Authors: Kaelyn Becker, Xenia Ray
Affiliation: University of California, San Diego, University of California San Diego
Abstract Preview: Purpose: Ethos 2.0 with HyperSight (Varian Medical Systems) imaging enables nearly fully automated offline adaptive radiotherapy including automated deformation of targets and recalculation on the Hou...
Authors: Ming Chao, Hao Guo, Tenzin Kunkyab, Yang Lei, Tian Liu, Kenneth Rosenzweig, Robert Samstein, Junyi Xia, Jiahan Zhang
Affiliation: Icahn School of Medicine at Mount Sinai
Abstract Preview: Purpose:
This study aims to develop and validate an Eclipse Scripting Application Programming Interface (ESAPI)-based planning toolbox that incorporates preset human expertise to improve planning e...
Authors: Somayeh Gholami, Saeedeh Ketabi, Jeremy Kunz, Ali Yousefi
Affiliation: Department of Radiation Oncology, University of Utah, University of Utah, Department of Management- Operations Research, University of Isfahan
Abstract Preview: Purpose: This paper aims to present a novel approach for automatic knowledge-based planning optimization for Intensity Modulated Radiotherapy, along with the two downsizing techniques for improving th...
Authors: Edward Robert Criscuolo, Chenlu Qin, Deshan Yang, Zhendong Zhang
Affiliation: Duke University, Department of Radiation Oncology, Duke University
Abstract Preview: Purpose:
Low-dose CT (LDCT) imaging minimizes radiation exposure but introduces significant noise, compromising image quality. While deep learning-based denoising models such as HFormer achieve sta...
Authors: Diana Cardona, Casey C. Heirman, William Jeck, Kyle J. Lafata, Xiang Li, 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: Medical physicists traditionally support radiation-based medicine, but their expertise is translatable to image-based fields like pathology. As pathology transitions to digital practices, phy...
Authors: Yasin Abdulkadir, John Charters, Melissa Ghafarian, James M. Lamb, Dishane Chand Luximon, Jack Neylon
Affiliation: Department of Radiation Oncology, University of California, Los Angeles
Abstract Preview: Purpose:
Assessment of radiotherapy treatment quality in large-scale multi-institutional contexts remains an outstanding challenge. Retrospective human review of treatment plans is labor intensive ...
Authors: Jihun Kim, Jin Sung Kim, Jun Won Kim, Yong Tae Kim, Chanwoong Lee, Jihyn Pyo, Young Hun Yoon
Affiliation: Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Department of Radiation Oncology, Gangnam Severance Hospital, Yonsei University College of Medicine
Abstract Preview: Purpose: Although segmentation foundation models have recently demonstrated promising zero-shot performance on natural images, its clinical application to magnetic resonance (MR) images still requires...
Authors: Adnan Jafar, Xun Jia, An Qin
Affiliation: Johns Hopkins University
Abstract Preview: Purpose: 3D whole-brain radiotherapy (WBRT) is widely used due to its simplicity and effectiveness. While modern treatment planning systems, like RayStation, offer automated Field-in-Field planning, p...
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 HyperSight® offline adaptive-workflow is to create a methodical approach to adaptive-radiotherapy (ART) that considers modifications in patient setup and anatomy. Through effi...
Authors: Benjamin J. Sintay, Caroline Vanderstraeten, David B. Wiant
Affiliation: Fuse Oncology, Cone Health
Abstract Preview: Purpose: The Joint Commission (JC) mandates that healthcare organizations establish and evaluate staff competencies to ensure safe and effective patient care. In the context of increasing sub-speciali...
Authors: James M. Lamb, Jack Neylon, Dylan P. O'Connell
Affiliation: Department of Radiation Oncology, University of California, Los Angeles
Abstract Preview: Purpose: Communication is imperative to safe, accurate, and timely radiotherapy. The past decade has seen a significant shift toward higher doses and shorter fractionations, which has in turn led to i...
Authors: Sarah E. Holler, Daniel Johnson
Affiliation: Department of Radiation Oncology, University of Kansas Medical Center
Abstract Preview: Purpose: As the technological availability of modern clinical infrastructure increases in resource-restricted regions of the world, the needs to maintain quality standards of practice need not be hamp...
Authors: Ivan M. Buzurovic, Evangelia Kaza
Affiliation: Department of Radiation Oncology, Dana-Farber/Brigham and Women’s Cancer Center, Harvard Medical School, Brigham and Women's Hospital, Harvard Medial School, Dana-Farber Cancer Institute, Department of Radiation Oncology
Abstract Preview: Purpose: Recent advances allow for depiction of surface brachytherapy flap applicators using MRI, with empty catheters detected by signal intensity reduction. As manual catheter detection is subjectiv...
Authors: Hulya Ozdemir Buss, Jeffrey Geiger, Kim Howard, Julius G. Ojwang, Neelu Soni
Affiliation: Mercy Hospital Springfield
Abstract Preview: Purpose: The Radixact Synchrony system integrates real-time motion tracking and compensates to improve treatment accuracy for moving targets. This study presents a streamlined and efficient quality as...
Authors: Shifeng Chen, Erica Fisler, Arun Gopal, Mariana Guerrero, Jason Hendershot, Kai Huang, Eric Kusmaul, Adam Schrum, Megan Steinberg, Kai Wang
Affiliation: University of Maryland School of Medicine, Department Radiation Oncology, Kaufman Cancer Center, Upper Chesapeake Medical Center, University of Maryland Medical System Central Maryland Radiation Oncology, Department of Radiation Oncology, University of Maryland Medical Center, Baltimore Washington Medical Center Radiation Oncology, Department of Radiation Oncology, University of Maryland School of Medicine
Abstract Preview: Purpose:
Our goal is to develop and clinically deploy an automated planning tool using multicriteria optimization (MCO) for VMAT in prostate only, whole pelvis radiotherapy treatments.
Methods:<...
Authors: Keiichi Jingu, Noriyuki Kadoya, Takafumi Komiyama, Takeru Nakajima, Hikaru Nemoto, Hiroshi Onishi, Masahide Saito, Ryota Tozuka
Affiliation: Department of Radiology, University of Yamanashi, Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Department of Advanced Biomedical Imaging, University of Yamanashi
Abstract Preview: Purpose: We evaluated the accuracy of a new AI-based fully automated planning software in stereotactic body radiotherapy (SBRT) for early-stage lung cancer.
Methods: We collected data from 125 pati...
Authors: Daisuke Kawahara, Takaaki Matsuura, Yuji Murakami, Ryunosuke Yanagida
Affiliation: Hiroshima High-Precision Radiotherapy Cancer Center, Department of Radiation Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Department of Radiation Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima
Abstract Preview: Purpose: In recent years, automation in radiation therapy planning using AI has gained significant attention to reduce the workload of treatment planners. Adaptive Radiation Therapy (ART), as a new fo...
Authors: Paola E. Alvarez, Robert Dejournett, Mallory Glenn, Stephen F. Kry, Jessica R. Lowenstein, Andrea Molineu, Paige A. Taylor
Affiliation: The University of Texas MD Anderson Cancer Center, UT MD Anderson Cancer Center
Abstract Preview: Purpose: Current IROC Houston practices are often reactive in nature, relying on several manual processing steps to receive and review institution data and distribute credentialing information. The IR...