investigated the value of a radiomics model based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted imaging (DWI) in estimating the isocitrate dehydrogenase 1 (IDH1) mutation and angiogenesis in gliomas, which suggested that the SVM model showed good performance for predicting the VEGF expression (validation group, AUC = 0.919) (62). The gene discussed is IDH1; the disease is central nervous system cancer.