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Results for "avi planner": 17 found

A Deep Learning-Based Approach for Rapid Prediction of IMRT/VMAT Patient-Specific Quality Assurance for Online Adaptive Plans Generated with a 0.35T MR-Linac

Authors: Suman Gautam, Tianjun Ma, William Song

Affiliation: Virginia Commonwealth University

Abstract Preview: Purpose: We propose an artificial intelligence (AI)-based method to rapidly predict the patient-speci๏ฌc quality assurance (PSQA) results for magnetic resonance (MR)-guided online adaptive radiation th...

A Quantitative, Predictable Guided Optimization Approach for Eclipse to Mitigate the SRS โ€œRing of Fireโ€

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 โ€“ the โ€œring of fire.โ€ This pr...

Automated Plan Optimization Using an Adaptive Objective Function Template in Prostate Cancer

Authors: Michael Joseph Dance, Shiva K. Das, John Dooley, David V. Fried, Spencer Lynch, Michael Repka, Shivani Sud, Neil Ari Wijetunga

Affiliation: University of North Carolina

Abstract Preview: Purpose: The growing complexity of radiation therapy treatment planning presents challenges in maintaining efficient clinical workflows while ensuring plan quality. This study evaluates the use of an ...

Development of an Eclipse Scripting API-Based Toolbox for Automated Planning in Non-Small Cell Lung Cancer: Feasibility and Validation Study

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...

Dosimetric Impact of Adaptive Radiotherapy with Ethos for Prostate Cancer: Localized Analysis of Bladder and Rectum across Planned, Non-Adaptive Accumulated, and Adapted Treatments

Authors: Huisi Ai, Scott Glaser, Yi Lao, Percy Lee, Sara N. Lim, An Liu, Bo Liu, Borna Maraghechi, Kun Qing, Chengyu Shi, William T. Watkins, Terence Williams, Qiuyun Xu, Jiahua Zhu

Affiliation: WashU Medicine, Graduate Program in Bioengineering, University of California San Francisco-UC Berkeley, City of Hope Orange County, Department of Radiation Oncology, City of Hope National Medical Center, Department of Radiation Oncology, City of Hope Orange County, Department of Radiation Oncology, City of Hope Medical Center

Abstract Preview: Purpose: To employ a novel surface dose mapping approach for localized assessment of the dosimetric impact of Ethos adaptive radiotherapy (ART) for prostate cancer (PC).
Methods: This study include...

Eclipse AFI Manual Planning Versus Brainlab Auto-Planning: A Comparison of SRS Plan Quality

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 โ€œAsk For Itโ€ (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...

Empowering Radiation Oncology in Sudan with Virtual and Augmented Reality Solutions

Authors: Abdelfatah Abdalla Nemer Abdelsalam, Elmubarak M. Ahmed, Sarah A. Ashmeg, M. Saiful Huq, Alsadeg Awad Alamin Mohamed, Ali Sid Ahmed Mohammed, Christopher Tyerech

Affiliation: UPMC Hillman Cancer Center and University of Pittsburgh School of Medicine, Department of Radiation Oncology, UPMC Hillman Cancer Center, University of Medical Science and Technology, King Abdulaziz Medical City, Department of Radiation Oncology, University of Pennsylvania, Tumor Therapy and Cancer Research Center, Al Neelain University

Abstract Preview: Purpose: Severe conflict in Sudan has led to the closure of several cancer services within the country. With new centers in development by an IAEA and Rays of Hope initiative, many barriers exist in m...

Free-Breathing VMAT and IMRT Versus Deep Inspiration Breath- Hold 3D-CRT Techniques for Left-Breast Cancer: A Practical Solution for Developing Countries

Authors: Md. Yousuf Ali, Parvin Akhter Banu, Ehteshamul Hoque, Qazi Mushtaq Hussain, Md Jobairul Islam, Md. Abdul Mannan, Sadia Afrin Sarah, Mostafa Aziz Sumon, Ahammad Al Mamun Sweet, AFM Kamal Uddin

Affiliation: Labaid Cancer Hospital & Superspeciality Centre

Abstract Preview: Purpose: Radiotherapy for left-sided breast cancer can induce cardiac injury. Deep Inspiration Breath Hold (DIBH) is a technique that minimizes cardiac exposure during treatment. This study compares d...

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:<...

New Insights into Automatic Treatment Planning for Cancer Radiotherapy Using Explainable Artificial Intelligence.

Authors: Md Mainul Abrar, Yujie Chi

Affiliation: University of Texas at Arlington, Department of Physics, University of Texas at Arlington

Abstract Preview: Purpose: Healthcare 5.0, proposed in 2021, includes interpretable healthcare analysis as a core component. Achieving this requires the application of explainable artificial intelligence (XAI) to overc...

Novel AI-Powered Tool to Objectively Evaluate Brain Dose for Multi-Met Stereotactic Radiosurgery Optimization

Authors: Wenchao Cao, Yingxuan Chen, Haisong Liu, Richard A. Popple, Wenyin Shi, Rodney J. Sullivan, Wentao Wang, Lydia J. Wilson, Zhenghao Xiao

Affiliation: Thomas Jefferson University, The University of Alabama at Birmingham, University of Alabama at Birmingham

Abstract Preview: Purpose: Objectively evaluating brain sparing as a plan-quality indicator for patients receiving stereotactic radiosurgery (SRS) to multiple metastases (multi-met) is complicated by variability in tar...

Phantom Assessment for Treating Large Tumors with Biology-Guided Radiotherapy (BgRT)

Authors: Jon Burns, Angela J Da Silva, Andrew Groll, Gopinath Kuduvalli, Manoj Narayanan, Jeffrey Schmall, Sanchit Sharma, Timothy Pok Chi Yeung

Affiliation: Reflexion Medical Inc,, RefleXion Medical

Abstract Preview: Purpose: Biology-guided radiotherapy uses positron emissions from FDG-avid tumor volumes to provide a of the planned prescribed dose with high accuracy. The purpose of this work is to characterize BgR...

Precision Radiotherapy Dose Prediction Using Foundation Model-Augmented Learning

Authors: Hilary P Bagshaw, Mark K Buyyounouski, Xianjin Dai, PhD, Praveenbalaji Rajendran, Lei Xing, Yong Yang

Affiliation: Department of Radiation Oncology, Stanford University, Massachusetts General Hospital, Harvard Medical School

Abstract Preview: Purpose: Artificial intelligence (AI)-driven methods have transformed dose prediction, streamlining the automation of radiotherapy treatment planning. However, traditional approaches depend exclusivel...

Real-Time Fully Automated IMRT Planning without Optimization Process Using a Two-Step AI Framework

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...

Refined Nnu-Net Training for Practice-Specific Autosegmentation of APBI Targets

Authors: Daniel A. Alexander, Jonathan Baron, Brook Kennedy Byrd, William Ross Green, Bolin Li, Rafe A. McBeth, Abigail Pepin, Steven Philbrook

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

Abstract Preview: Purpose: As accelerated partial breast irradiation (APBI) gains traction, the prospect of a rapid sim-to-completion of treatment workflow is an attractive option for patients. While OAR autocontouring...

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...

Sentinel: Development and Implementation of an Automated, Passive Varian Log File and Treatment Plan Analysis

Authors: Leon Dunn

Affiliation: IsoAnalytics Pty. Ltd.

Abstract Preview: Purpose: The purpose of this work is to present the development and results of an automated Varian Trajectory Log file processing software platform called Sentinel (IsoAnalytics Pty. Ltd.).
Methods...