Arita et al. [71] established a radiomics model based on conventional MRI images and lesion location information to classify three molecular subtypes of grade II/III gliomas (based on IDH genotype and TERT promoter mutation status), and the accuracy of the training set was 74%. This evidence concerns the gene IDH1 and glioma.