Machine learning for dose-volume histogram based clinical decision-making support system in radiation therapy plans for brain tumors

Purpose: To create and investigate a novel, clinical decision-support system using machine learning (ML). Methods and Materials: The ML model was developed based on 79 radiotherapy plans of brain tumor patients that were prescribed a total dose of 60 Gy delivered with volumetric-modulated arc therap...

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Bibliographic Details
Main Authors: Pawel Siciarz, Salem Alfaifi, Eric Van Uytven, Shrinivas Rathod, Rashmi Koul, Boyd McCurdy
Format: Article
Language:English
Published: Elsevier 2021-11-01
Series:Clinical and Translational Radiation Oncology
Online Access:http://www.sciencedirect.com/science/article/pii/S2405630821000793