Machine learning-based radiopathomics ensemble model for predicting multiple molecular subtypes of adult diffuse glioma: a multicenter retrospective study

Abstract Background IDH and TERTp mutations serve as key molecular markers in glioma, closely associated with tumor clinical behavior, treatment response, and patient survival. Precise identification of molecular subtypes facilitates improved clinical risk stratification. This study aims to develop...

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Detalhes bibliográficos

Principais autores:	Xuan Li, Zehui Li, Xin Duan, Qian Liang, Jiang Wu, Hui Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2026-02-01
coleção:	BMC Cancer
Assuntos:	Glioma Molecular subtypes Radiomics Pathomics
Acesso em linha:	https://doi.org/10.1186/s12885-026-15645-8
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