Predicting the efficacy of bevacizumab on peritumoral edema based on imaging features and machine learning

Abstract This study proposes a novel approach to predict the efficacy of bevacizumab (BEV) in treating peritumoral edema in metastatic brain tumor patients by integrating advanced machine learning (ML) techniques with comprehensive imaging and clinical data. A retrospective analysis was performed on...

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Главные авторы:	Xuexue Bai, Ming Feng, Wenbin Ma, Shiyong Wang
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Nature Portfolio 2025-05-01
Серии:	Scientific Reports
Предметы:	Bevacizumab Peritumoral edema Machine learning Predictive model
Online-ссылка:	https://doi.org/10.1038/s41598-025-00758-0
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