Radiomics and AI-Based Prediction of MGMT Methylation Status in Glioblastoma Using Multiparametric MRI: A Hybrid Feature Weighting Approach

Radiomics and AI-Based Prediction of MGMT Methylation Status in Glioblastoma Using Multiparametric MRI: A Hybrid Feature Weighting Approach

<b>Background/Objectives</b>: Glioblastoma (GBM) is a highly aggressive primary central nervous system tumor with a median survival of 14 months. MGMT (O6-methylguanine-DNA methyltransferase) promoter methylation status is a key biomarker as a prognostic indicator and a predictor of chem...

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Bibliographic Details
Main Authors: Erdal Tasci, Ying Zhuge, Longze Zhang, Holly Ning, Jason Y. Cheng, Robert W. Miller, Kevin Camphausen, Andra V. Krauze
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Diagnostics
Subjects:
MGMT
radiomics
image processing
machine learning
feature extraction
feature selection
Online Access:https://www.mdpi.com/2075-4418/15/10/1292
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