In this retrospective single-center study, we developed a simple radiomics model using a Support Vector Machine algorithm, based on a minimal set of tumor features obtained using a single and multislice tumor segmentation approach on multiparametric MRI sequences for pretreatment prediction of IDH1 status in high-grade glioma patients. This evidence concerns the gene IDH1 and central nervous system cancer.