MRI-derived Vascular Permeability and Cell Density Habitats for Prediction of Isocitrate Dehydrogenase Mutation in Gliomas

Motivation: Accurate preoperative identification of isocitrate dehydrogenase (IDH) mutation is crucial for improving patients’ management in clinical practice. Intratumor heterogeneity in gliomas limits the accurate determination of IDH mutation to some extent. Goal(s): T1-CE-derived BBB permeability and DWI-derived cell density habitat imaging may enable more precise prediction of IDH mutation by parcellating similar voxels using a clustering method. Approach: We developed and validated imaging habitats based on T1-CE and DWI to predict IDH mutation by localized mapping of tumor heterogeneity. Results: The damaged vascular and hypocellular imaging habitat performed best and robust to predict the IDH mutation, and was considered as the sensitive habitat. Impact: Fully recognizing and exploiting this heterogeneity can contribute to improving the prediction accuracy of IDH mutation status, providing more precise treatment and management strategies, and ultimately improving survival and quality of life.