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Abstract #2332

Radiomic analysis to determine glioma’s IDH1 gene status based on multi-MR sequences

Yi Liu1,2, Tong Han2, Xiaoling Yan3, Xuebin Zhang3, and Zhengting Cai4

1graduate school, Tianjin Medical University, Tianjin, China, 2Department of Radiology, Tianjin Huanhu Hospital, Tianjin, China, 3Department of Pathology, Tianjin Huanhu Hospital, Tianjin, China, 4Innovation Department, Huiying Medical Technology Co., Ltd, Beijing, China

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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