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Abstract #2135

Multi-sequence and Habitat-based Radiomics Analysis to Predict MGMT Promoter Methylation Status in Grade II-IV Gliomas Using Magnetic Resonance Imaging

Jingwei Wei1, Jie Tian1, Dongsheng Gu1, Xiaohan Hao1, Guoqiang Yang2, and Yan Tan2

1Chinese Academy of Sciences, Beijing, China, 2Shanxi Medical University, Taiyuan, China

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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