Habould et al. produced an automated segmentation-based radiomics algorithm, which also incorporated clinical and laboratory data, to differentiate HGGs from LGGs and to predict the glioma molecular status in relation to IDH, ATRX and MGMT mutation and to 1p19q codeletion [16]. The gene discussed is IDH2; the disease is central nervous system cancer.