Pretreatment patient-specific quality assurance prediction based on 1D complexity metrics and 3D planning dose: classification, gamma passing rates, and DVH metrics

Pretreatment patient-specific quality assurance prediction based on 1D complexity metrics and 3D planning dose: classification, gamma passing rates, and DVH metrics

Abstract Purpose Highly modulated radiotherapy plans aim to achieve target conformality and spare organs at risk, but the high complexity of the plan may increase the uncertainty of treatment. Thus, patient-specific quality assurance (PSQA) plays a crucial role in ensuring treatment accuracy and pro...

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Bibliographic Details
Main Authors: Liyuan Chen, Huanli Luo, Shi Li, Xia Tan, Bin Feng, Xin Yang, Ying Wang, Fu Jin
Format: Article
Language:English
Published: BMC 2023-11-01
Series:Radiation Oncology
Subjects:
Deep learning
Patient-specific quality assurance
Complexity metrics
Dose-volume histograms
Online Access:https://doi.org/10.1186/s13014-023-02376-4

Internet

https://doi.org/10.1186/s13014-023-02376-4

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