High-throughput features from T1-weighted, T2-weighted MR, and FLAIR images of 103 LrGG (lower grade glioma) patients (73: training and 30: validation) were extracted and SVM models were used to find optimal features for IDH and TP53 mutation detection. Here, TP53 is linked to glioma.