Prediction of MGMT methylation status in glioblastoma patients based on radiomics feature extracted from intratumoral and peritumoral MRI imaging

Abstract Assessing MGMT promoter methylation is crucial for determining appropriate glioblastoma therapy. Previous studies have focused on intratumoral regions, overlooking the peritumoral area. This study aimed to develop a radiomic model using MRI-derived features from both regions. We included 96...

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Detalhes bibliográficos

Principais autores:	Wang-Sheng Chen, Fang-Xiong Fu, Qin-Lei Cai, Fei Wang, Xue-Hua Wang, Lan Hong, Li Su
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2025-07-01
coleção:	Scientific Reports
Assuntos:	Glioblastoma MGMT methylation Radiomics MRI imaging Machine learning Personalized treatment
Acesso em linha:	https://doi.org/10.1038/s41598-025-08608-9
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