The purpose of this retrospective study was to demonstrate the feasibility of radiomic methods to determine glioma’s IDH1 gene status based on MR imaging. We used a training set (99 patients)with a test set (29 patients), and extracted 1029 radiomic features from each sequence of T2WI, ADC, FLAIR, T1WI-CE and the combined, then reduced by Least absolute shrinkage and selection operator. Five logistic regression classifiers were built based on training set, evaluated using test set and compared by DeLong test. The results indicated the radiomics of combined four sequences had the best performance in distinguishing IDH1 gene status.
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