The LSTM model in combination with oxygen metabolism and the MLP in combination with oxygen metabolism along with microvascular architecture demonstrated the highest performance parameters, which in part was in line with our hypothesis: combining physio-metabolic MRI and deep learning algorithms enables a noninvasive and reliable classification of the IDH gene mutation status of gliomas. The gene discussed is IDH1; the disease is central nervous system cancer.