Yan et al. (2021) developed a fusion model based on CE-T1WI and the apparent diffusion coefficient (ADC) to predict molecular typing and evaluate the survival prediction performance of glioma patients. The results showed that the fusion model achieved significant stratification in the molecular subgroup and optimal identification efficiency for predicting IDH. Zhang et al. (2020) found that dynamic contrast-enhanced (DCE)-MRI was superior to dynamic susceptibility contrast (DSC) imaging in identifying glioma molecular typing. The gene discussed is IDH2; the disease is central nervous system cancer.