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

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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Bibliographic Details
Main Authors: Wang-Sheng Chen, Fang-Xiong Fu, Qin-Lei Cai, Fei Wang, Xue-Hua Wang, Lan Hong, Li Su
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Glioblastoma
MGMT methylation
Radiomics
MRI imaging
Machine learning
Personalized treatment
Online Access:https://doi.org/10.1038/s41598-025-08608-9
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https://doi.org/10.1038/s41598-025-08608-9

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