Evaluation of a highly refined prediction model in knowledge-based volumetric modulated arc therapy planning for cervical cancer

Abstract Background and purpose To explore whether a highly refined dose volume histograms (DVH) prediction model can improve the accuracy and reliability of knowledge-based volumetric modulated arc therapy (VMAT) planning for cervical cancer. Methods and materials The proposed model underwent repea...

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Bibliographic Details
Main Authors: Mingli Wang, Huikuan Gu, Jiang Hu, Jian Liang, Sisi Xu, Zhenyu Qi
Format: Article
Language:English
Published: BMC 2021-03-01
Series:Radiation Oncology
Subjects:
Online Access:https://doi.org/10.1186/s13014-021-01783-9