IDH1 and glioma: Shao et al. [31] reported that FeAture Explorer (FAE) generated models (AUC = 0.925), based on radiomics features of conventional MR images, demonstrated superior discriminatory ability between H3 G34-mutant and IDH-mutant gliomas compared to Visually Accessible Rembrandt Image (VASARI) feature analysis (AUC = 0.843).