In this study, we performed multi-habitat and multi-sequence MRI radiomics to make preoperative prediction on MGMT promoter methylation in grade II-IV gliomas. Quantitative imaging features were extracted on each habitat from CE-T1WI, T2FLAIR and ADC maps to reveal the genetic heterogeneity of the tumor and describe the subtle textural characteristics of different molecular subtypes. The habitat-integrated radiomics signature behaved more stable and had better predictive efficacy than one-region based radiomics signature. The final constructed predictive model incorporating the proposed radiomics signature and traditional clinical predictors achieved the optimal performance on the MGMT status.
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