2021
DOI: 10.1186/s13014-021-01783-9
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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 repeated refining through progressive training until the training samples increased from initial 25 prior plans up to 100 cases. The estimated DVHs derived from the p… Show more

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Cited by 6 publications
(1 citation statement)
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“…Incorporating more patients in the model libraries for model training have a possibility to lead to fewer outliers and more consistent plan quality. 15 , 16 , 17 However, the application of the CSI technique in clinical practice is not common in most hospitals. In this study, because CSI treatment is relatively rare, we searched databases covering the previous 6 years and found only 38 CT image sets.…”
Section: Discussionmentioning
confidence: 99%
“…Incorporating more patients in the model libraries for model training have a possibility to lead to fewer outliers and more consistent plan quality. 15 , 16 , 17 However, the application of the CSI technique in clinical practice is not common in most hospitals. In this study, because CSI treatment is relatively rare, we searched databases covering the previous 6 years and found only 38 CT image sets.…”
Section: Discussionmentioning
confidence: 99%