Authors: Sixue Dong, Weigang Hu, Jiazhou Wang, Zhen Zhang
Affiliation: Fudan University Shanghai Cancer Center
Abstract Preview: Purpose: This study aimed to evaluate the dosimetric benefits and treatment efficiency of different beam configurations in 4π non-coplanar VMAT for SBRT in recurrent head and neck tumors
Method...
Authors: Edward D. Brandner, Weihua Fu, M. Saiful Huq, Ronald John Lalonde, Kiran Mehta, Hima Bindu Musunuru, Yongqian Zhang
Affiliation: UPMC Hillman Cancer Center and University of Pittsburgh School of Medicine, Department of Radiation Oncology, University of Pittsburgh School of Medicine and UPMC Hillman CancerCenter
Abstract Preview: Purpose: Treatment of diffuse and extensive involvement of the skull by malignancy presents a difficult challenge for radiation therapy. This study reports preliminary experience of a modified volumet...
Authors: Liqin HU, Tao He, Jing JIA, Pengcheng LONG, Wei Meng, Yang Yuan
Affiliation: SuperAccuracy Science & Technology Co. Ltd.
Abstract Preview: Purpose: A multi-criteria optimization method based on reinforcement learning and adaptive boosting(RLAB MCO) has been developed to enhance radiotherapy plan quality by offering reasonable and effecti...
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: Ivan L. Cordrey, Dharmin D. Desai
Affiliation: Cumberland Medical Center - Cancer Center, Varian Advanced Oncology Solutions
Abstract Preview: Purpose: For larger PTVs, VMAT optimizations performed within Eclipse often generate SRS plans with widely scattered hotspots distributed around the inner edge of the PTV – the “ring of fire.” This pr...
Authors: Lu Jiang, Shusen Jing, Qihui Lyu, Dan Ruan, Ke Sheng, Qifan Xu
Affiliation: Department of Radiation Oncology, University of California, Los Angeles, University of California San Francisco, Department of Radiation Oncology, University of California at San Francisco, Department of Radiation Oncology, University of California, San Francisco
Abstract Preview: Purpose: In radiotherapy, the conformity and compactness of dose distribution are vital to patient outcomes. The introduction of highly complex planning, such as 4π radiotherapy, has provided a system...
Authors: Richard Lesieur, Olivia Magneson, David E. Solis, Sotirios Stathakis
Affiliation: Louisiana State University, Mary Bird Perkins Cancer Center
Abstract Preview: Purpose: This study evaluates the deliverability and precision of multileaf collimator (MLC) positioning in treatment plans generated by two different Treatment Planning Systems (TPS), Monaco and Pinn...
Authors: Maria Jose Almada, Bruno Forti, Andres Lima, Carlos Daniel Venencia
Affiliation: Instituto Zunino - Fundacion Marie Curie
Abstract Preview: Purpose:
To automate the planning of radiotherapy treatments for bone metastases using a script in the ECLIPSE planning system version 15.6 with a graphical interface.
Methods:
A script was d...
Authors: Maria Jose Almada, Bruno Forti, Patricia Murina, Carlos Daniel Venencia
Affiliation: Instituto Zunino - Fundacion Marie Curie, Dra.
Abstract Preview: Purpose: The use of VMAT for the breast requires duplication of the patient's CT, several planning structures, and patient-specific dose-volume constraints depending on the patient's anatomy, fraction...
Authors: Lei Dong, Yin Gao, Taoran Li, Michael Salerno, Boon-Keng Kevin Teo, Melissa Vila
Affiliation: Department of Radiation Oncology, University of Pennsylvania, University of Pennsylvania
Abstract Preview: Purpose: A novel solution, RapidArc Dynamic-RAD (Varian Medical Systems, Palo Alto, USA) has been implemented to integrate VMAT with modulation of IMRT-like static-angle ports, including use of a dyna...
Authors: Kai-Cheng Chuang, Oana I. Craciunescu, Christopher Kelsey, Joseph Kowalski, Nicole Larrier, Xinyi Li, Sheridan G. Meltsner, Anna E. Rodrigues, Yang Sheng, Qiuwen Wu
Affiliation: Duke University, Duke University Medical Center
Abstract Preview: Purpose: To clinically implement a Volumetric Modulated Arc Therapy (VMAT) procedure for Total Body Irradiation (TBI) with off-the-shelf tools.
Methods: Patient is treated on linac couch with a hyb...
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: Xiance Jin
Affiliation: 1st Affiliated Hospital of Wenzhou Medical University
Abstract Preview: Purpose:
Deep learning deformable registration models was proposed to predict optimal dose distributions a with a few of optimal planned doses using a few-shot learning for cervical cancer.
Meth...
Authors: Aliasghar Rohani, Rui Zhang
Affiliation: Louisiana State University, Baton Rouge, Louisiana, Department of Radiation Oncology, Mary Bird Perkins Cancer Center
Abstract Preview: Purpose: This study aimed to evaluate the impact of simultaneous optimization of multi-photon beam energy and fluence on IMRT and VMAT treatment planning.
Methods: An Elekta linear accelerator (lin...
Authors: Eva Lee, R. Lee MacDonald, Alasdair Syme, Christopher G. Thomas
Affiliation: Department of Radiation Oncology, QE2 Cancer Centre, Nova Scotia Health, Dalhousie University, Nova Scotia Health
Abstract Preview: Purpose:
Dynamic couch rotation in radiotherapy offers dosimetric benefits, however patient comfort remains a concern. This study investigates couch kinematics in trajectory-based radiotherapy plan...
Authors: Dharmin D. Desai, Ellis Lee Johnson, Philip J. Kallenberg, Kapil M. Mishra
Affiliation: Spectrum Medical Physics, University of Kentucky, Varian Advanced Oncology Solutions
Abstract Preview: Purpose: The “Ask For It” (AFI) manual optimization strategy has been shown to generate high quality SRS plans within Eclipse. The purpose of this work is to directly compare manually generated Eclips...
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...
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...
Authors: Pat Esposito, Ashley Klein, Carmine Verna, Ling Zhuang
Affiliation: Northwestern Medicine
Abstract Preview: Purpose: To evaluate dosimetric parameters and treatment delivery efficiency between volumetric modulated arc therapy (VMAT) and hybrid dynamic conformal arc (HDCA) on SRS and SBRT planning through st...
Authors: Chunhui Han, An Liu, Anthony Magliari, Lesley Rosa
Affiliation: Office of Medical Affairs, Varian, A Siemens Healthineers Company, Department of Radiation Oncology, City of Hope National Medical Center
Abstract Preview: Purpose: To evaluate the performance of a knowledge-based planning (KBP) optimization model for total marrow and lymphoid irradiation (TMLI) on a ring-gantry linac with a dual-layer MLC and to evaluat...
Authors: Yang Sheng, Qingrong Jackie Wu, Qiuwen Wu, Xin Wu, Dongrong Yang
Affiliation: Duke University Medical Center
Abstract Preview: Purpose:
Treatment planning for intensity-modulated radiation therapy (IMRT) and volumetric modulated arc therapy (VMAT) relies on inverse planning, an iterative and non-intuitive process of adjust...
Authors: Peng Dong, Elizabeth Kidd, Sheng Liu, Thomas R. Niedermayr, Oscar Pastor-Serrano, Lei Xing, Yong Yang, James Zou
Affiliation: Department of Biomedical Data Science, Stanford University, Department of Radiation Oncology, Stanford University, Stanford University
Abstract Preview: Purpose: Radiotherapy treatment planning is a time-consuming and potentially subjective process that requires iterative adjustments of optimization parameters to balance conflicting objectives. In thi...
Authors: Drexell Hunter Boggs, Carlos E. Cardenas, Jingwei Duan, Joseph Harms, Joel A. Pogue, Richard A. Popple, Courtney Bosse Stanley, Dennis N. Stanley, Sean Xavier Sullivan, Natalie N. Viscariello
Affiliation: Washington University in St. Louis, The University of Alabama at Birmingham, University of Alabama at Birmingham
Abstract Preview: Purpose: CBCT-guided online adaptive radiation therapy (OART) with Ethos for stereotactic accelerated partial breast irradiation (APBI) can mitigate inter-fraction variation, leading to dosimetric adv...
Authors: Andreea Dimofte, Maksym Sharma, Weibing Yang, Timothy C. Zhu
Affiliation: Department of Radiation Oncology, University of Pennsylvania, University of Pennsylvania
Abstract Preview: Purpose:
To assess the effectiveness and dosimetric impact of utilizing a knowledge-based planning model for GI site-specific plans.
Methods:
Six knowledge-based planning models were develope...
Authors: Ara Alexandrian, Sadiki Daniel
Affiliation: Louisiana State University, Mary Bird Perkins Cancer Center
Abstract Preview: Purpose: To develop a learning-to-optimize machine learning model that accelerates optimization in VMAT treatment planning by training on prostate patient data.
Methods: A treatment plan dataset of...
Authors: Nobuki Imano, Daisuke Kawahara, Akito S Koganezawa, Yuji Murakami, Ikuno Nishibuchi, Takuya Wada
Affiliation: Department of Information and Electronic Engineering, Faculty of Science and Engineering, Teikyo University, Department of Radiation Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University
Abstract Preview: Purpose: Adaptive radiotherapy (ART) compensates for treatment plans based on anatomical changes while not considering biological effects such as interruptions during treatment. This study aims to dev...
Authors: Ryan Clark, Jon Cornelisse, Kenny Guida, Anthony Magliari, Lesley Rosa, Megan Smith, Shane R Stecklein
Affiliation: Office of Medical Affairs, Varian, A Siemens Healthineers Company, Department of Radiation Oncology, University of Kansas Medical Center
Abstract Preview: Purpose: Post-mastectomy radiation therapy (PMRT) can pose a challenge for planners of all levels of experience. For cases where 3D conformal therapy yields undesirable results (i.e., dose heterogenei...
Authors: Kenny Guida, Hongyu Jiang, Harold Li, Hem Bahadur Moktan Tamang
Affiliation: University of Nebraska Medical Center, Department of Radiation Oncology, University of Kansas Medical Center
Abstract Preview: Purpose: Varian Eclipse v18.0 introduced Enhanced Leaf Model (ELM) of MLC, which provides better dose calculation accuracy than original DLG-based MLC model. The leaf-gap (LG) parameter for ELM repres...
Authors: J. Daniel Bourland, Christina K Cramer, Justin M. Napolitano, James D. Ververs
Affiliation: Wake Forest University School of Medicine
Abstract Preview: Purpose:
Brain metastases (BM) can be treated with linear accelerator (LINAC)-based stereotactic radiosurgery (SRS). Treatment planning for this modality has evolved over time; treatment plans typi...
Authors: Nesrin Dogan, Panagiota Galanakou, Robert Kaderka
Affiliation: University of Miami, Sylvester Comprehensive Cancer Center, University of Miami Sylvester Comprehensive Cancer Center
Abstract Preview: Purpose:
To develop knowledge-based treatment planning (KBP) for volumetric modulated arc therapy (VMAT) in chest wall treatments with regional nodal involvement. Given the challenges posed due to ...
Authors: Peng Dong, Lei Xing
Affiliation: Department of Radiation Oncology, Stanford University, Stanford University
Abstract Preview: Purpose: Volumetric Modulated Arc Therapy (VMAT) optimization is a complex, non-convex problem with numerous variables and intricate constraints. Traditional optimization methods often lack efficiency...
Authors: William N. Duggar, John C. White
Affiliation: UMMC, University of Mississippi Medical Center
Abstract Preview: Purpose:
To evaluate the impact of patient motion on PTV coverage for 95% and 90% target volumes in VMAT breast treatment plans and to determine the appropriate flash margins required to maintain r...
Authors: Michael Bowers, Patrik Brodin, Madhur Garg, Rafi Kabarriti, William P. Martin, Todd R. McNutt, Julie Shade, Wolfgang A. Tomé, Christian Velten
Affiliation: Johns Hopkins University, Oncospace, Inc., Montefiore Medical Center
Abstract Preview: Purpose: Development of an automated planning tool utilizing AI generated patient-specific dose-volume histogram predictions for rapid H&N plan generation.
Methods: Planning best-practices were dev...
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: Parham Alaei, Timothy J Allen, Tomas Agustin Montenegro
Affiliation: University of Minnesota, Department of Radiation Oncology, University of Minnesota, Minneapolis
Abstract Preview: Purpose:
To assess possible relationships between treatment plan optimization parameters and gamma pass rates in quality assurance (QA) analysis of IMRT/VMAT plans.
Methods:
Plan optimization...
Authors: Issra Rashed, Jennie Wilder, Jingeng Zhu
Affiliation: Rush Riverside Cancer Institute, Advanced Oncology Solutions (AOS) Varian, a Siemens Healthineers company
Abstract Preview: Purpose: Develop a method to plan and deliver homogeneous dose to Craniospinal(CS) irradiation on Linear Accelerator.
Methods: Three treatment planning volumes (PTV) are created in sequence from su...
Authors: Qijie Huang, Gourav Jhanwar, Saad Nadeem, Vicki Trier Taasti, Mojtaba Tefagh, Seppo Tuomaala, Masoud Zarepisheh
Affiliation: Varian Medical Systems Inc, Department of Clinical Medicine - Danish Center for Particle Therapy, Aarhus University Hospital, Memorial Sloan Kettering Cancer Center, The University of Edinburgh
Abstract Preview: Purpose:
We have developed PortPy (Planning and Optimization for Radiation Therapy in Python), a first-of-its-kind open-source package designed to accelerate research and development in radiotherap...
Authors: Steve B. Jiang, Austen Matthew Maniscalco, Dan Nguyen, Chenyang Shen, Jiacheng Xie, Shunyu Yan, Ying Zhang, You Zhang
Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, 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, The University of Texas at Dallas
Abstract Preview: Purpose: Although treatment planning systems (TPSs) can handle dose calculation and plan optimization automatically, planning for radiotherapy still requires extensive efforts and expertise from a mul...
Authors: William T. Hrinivich, Junghoon Lee, Lina Mekki
Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Department of Biomedical Engineering, Johns Hopkins University, Johns Hopkins University
Abstract Preview: Purpose: Volumetric modulated arc therapy (VMAT) planning is a computationally expensive process. In this work, we propose a reinforcement learning (RL) framework to automatically optimize dose rate a...
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...
Authors: Yukio Fujita, Satoshi Ishikura, Fumiki Ito, Yujiro Nakajima, Takumi Sakamoto, Naoki Tohyama, Ryohei Yamauchi
Affiliation: Komazawa University Graduate School, St. Luke's International Hospital
Abstract Preview: Purpose: The aperture shape controller (ASC) is an Eclipse feature that increases muti-leaf collimator (MLC) aperture size. This study aimed to evaluate the effects of ASC settings on the robustness o...
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...
Authors: Eric C. Ford, Yulun He, Minsun Kim, Dustin Melancon, Juergen Meyer, Dong Joo Rhee, Yinghua Tao
Affiliation: Department of Radiation Oncology, Fred Hutchinson Cancer Center, University of Washington, MD Anderson Cancer Center, University of Washington
Abstract Preview: Purpose: To develop and evaluate an automated-planning technique capable of generating high-quality treatment plans for hippocampal-sparing-whole-brain radiation therapy.
Methods: An auto-planning ...
Authors: Alyssa Gadsby, William J. Godwin, Daniel G. McDonald, Jean L. Peng, Alek K. Rapchak, Sean A Roles, Austin M. Skinner, Stephanie Tan
Affiliation: Medical University of South Carolina
Abstract Preview: Purpose: To utilize multi-criteria optimization (MCO) in a targeted fashion to quickly and easily improve dose to the rectum when treating the prostate with stereotactic body radiation therapy (SBRT)....
Authors: Kazi Towmim Afrin, Imad M. Ali, Jordan West
Affiliation: University of Oklahoma Health Sciences Center, University of Oklahoma
Abstract Preview: Purpose: To simulate total-body-irradiation (TBI) with field-in-field treatment planning techniques and test portal dosimetry for dose verification and quality assurance.
Methods: CT images of full...
Authors: Yunfeng Cui, Joseph P. Kowalski, Qiuwen Wu, Yibo Xie
Affiliation: Duke University, Duke University Medical Center
Abstract Preview: Purpose: A Varian Ethos/Halcyon linac was recently commissioned in our clinic and was used to treat head and neck cancer patients. The purpose of this study is to compare treatment plan quality and de...
Authors: Michael Armstrong, Courtney R. Buckey, Quan Chen, Suzanne J. Chungbin, Mirek Fatyga, Yi Rong, Jun Tan, Xiang Sheng Yan
Affiliation: Mayo Clinic Arizona, Mayo Clinic
Abstract Preview: Purpose: To model a commercial rotational table in treatment planning system (TPS) for accurate dose optimization and calculation.
Methods: A commercial rotational table (CDR Equilibrium®) is r...
Authors: Ryan Burri, Nazanin Hoshyar, Jerry W. McCoy, Yulin Song, Huma Syed
Affiliation: Bay Pines VA Medical Center
Abstract Preview: Purpose: The study aimed to streamline traditionally manual, iterative, and time-consuming VMAT commissioning process. The goal was to identify an optimal set of MLC dosimetric parameters that minimiz...
Authors: Jameson T. Baker, Sean T Grace, Cindy Pham, Michael A. Trager
Affiliation: Northwell
Abstract Preview: Purpose:
In VMAT planning, increasing complexity in MLC motion and modulation may improve dose distributions and OAR sparing while maintaining PTV coverage. However, increasing complexity can creat...
Authors: Avinash Mudireddy, Nathan Shaffer, Joel J. St-Aubin
Affiliation: University of Iowa
Abstract Preview: Purpose: This work demonstrates preliminary results in training a reinforcement learning (RL) network to perform VMAT machine parameter optimization.
Methods: We implemented a policy gradient RL al...
Authors: Kenny Guida, Daniel Johnson, Wesley Tucker
Affiliation: University of Kansas Medical Center, Department of Radiation Oncology, University of Kansas Medical Center
Abstract Preview: Purpose: Intensity modulated proton therapy (IMPT) has emerged as a standard of care for unilateral head and neck (HN) cancers due to superior OAR sparing. With the increase of proton centers national...