Preoperative identification of IDH and 1p/19q codeletion could help clinical doctors make the optimal therapy plan. Although, there were few diagnostic studies could provide quantitative cutoff values of ADC and/or CBVfor identifying genogroup of gliomas. In this study, we calculated histogram metrics of ADC and CBV based on core tumor and used these metrics intersection MRS to establish diagnostic models to identify IDH mutant station and 1p/19q codeletion in turn. The main results showed that histogram metrics of ADC and CBV were powerful for identifying molecular status in adult gliomas. And MRS concentrations could improve diagnostic performance in both models.