Lu et al. [70] proposed a multimodal MRI radiomics-based three-level machine learning model to classify five glioma molecular subtypes (based on IDH genotype and 1p/19q co-deletion status), achieving an accuracy of 81.8%. This evidence concerns the gene IDH2 and central nervous system cancer.