Currently, only Park et al. [24] conducted a relevant study in which they used a machine learning classifier based on preoperative MRI Visual AcceSAble Rembrandt Images (VASARI) and radiomics features to identify IDH wild-type low-grade gliomas with GBM molecular features, and obtained satisfactory classification results in the test set (AUC: 0.854). The gene discussed is IDH1; the disease is glioma.