Using machine learning to predict gamma passing rate in volumetric‐modulated arc therapy treatment plans

PURPOSE: This study aims to develop an algorithm to predict gamma passing rate (GPR) in the volumetric‐modulated arc therapy (VMAT) technique. MATERIALS AND METHODS: A total of 118 clinical VMAT plans, including 28 mediastina, 25 head and neck, 40 brains intensity‐modulated radiosurgery, and 25 pros...

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Detalles Bibliográficos
Autores principales: Salari, Elahheh, Shuai Xu, Kevin, Sperling, Nicholas Niven, Parsai, E. Ishmael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Radiation Oncology Physics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9924108/
https://www.ncbi.nlm.nih.gov/pubmed/36495010
http://dx.doi.org/10.1002/acm2.13824

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9924108/
https://www.ncbi.nlm.nih.gov/pubmed/36495010
http://dx.doi.org/10.1002/acm2.13824

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