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Results for "without sacrificing": 4 found

A Clinical Evaluation of Two Commercially Available Deep-Learning Algorithms for Automated Organs at Risk Contouring

Authors: Steven DiBiase, Gurtej S. Gill, Haohua Billy Huang, Nicholas J. Lavini, Luxshan Shanmugarajah, Salar Souri, Samantha Wong

Affiliation: Stony Brook University, Northwell Health, Cornell University, NewYork-Presbyterian, New York-Presbyterian

Abstract Preview: Purpose: Clinical applications of deep learning-based algorithms have come to the radiation oncology field as organ at risk (OAR) auto contouring programs. We evaluated two of these algorithms’ (Radfo...

A Method to Reduce Workload in Adaptive Radiotherapy

Authors: Ramesh Boggula, Lincoln Houghton

Affiliation: Karmanos Cancer Institute, Wayne State University

Abstract Preview: Purpose: To evaluate an approach that selectively applies adaptive re-planning only when needed to reduce clinical workload while maintaining treatment quality. Daily adaptive radiotherapy (ART) has t...

Towards Clinical Translation: Optical Methods Deliver in-Vivo per-Pulse Dosimetry in Electron Flash-RT

Authors: Petr Bruza, Rafael Carballeira, Megan Clark, David J. Gladstone, Austin Sloop, Roman Vasyltsiv, Kevin Jacob Willy

Affiliation: Dartmouth College, Thayer School of Engineering, Dartmouth College

Abstract Preview: Purpose: Develop an optical dosimetry system to accomplish standard of care on-patient dosimetry and pretreatment quality assurance for ultra-high dose rate (UHDR) electron therapy ahead of human tria...

Whole Heart Sparing Ethos Adaptive Radiotherapy for Lung Cancer

Authors: Ibrahim Aref, David Bergman, Justine M. Cunningham, Payton Dolan, Aharon Feldman, Yimei Huang, Joshua P. Kim, Brett M. Miller, Emily Moats, Benjamin Movsas, Kundan S Thind

Affiliation: Henry Ford Health

Abstract Preview: Purpose: Cardiac radiation dose is directly associated with adverse cardiac events which are predictive of mortality in lung cancer patients. In fractionated lung radiotherapy, studies have shown a hi...