We developed a novel, microstructure-based, voxel-wise map of the peritumoral region in glioma brain tumors using DTI-based free water volume fraction map and deep-learning. This novel map captures the infiltrative heterogeneity of peritumoral region and can differentiate between gliomas with distinct IDH1 mutation status (IDH-mutant vs. IDH-wildtype). Thus, this new derived map that incorporates microstructure information can be used as a new diffusion based radiomic feature for various oncological investigations involving mutation status.
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