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Abstract #2748

AI-driven markers of IDH1 mutational status using microstructure-based characterization of peritumoral region in gliomas

Zahra Riahi Samani1, Drew Parker1, Steven Brem2, and Ragini Verma1
1DiCIPHR (Diffusion and Connectomics in Precision Healthcare Research) Lab, University of Pennsylvania, Philadelphia, PA, United States, 2Department of Radiology, Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA, United States


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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