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Abstract #3075

Development and Validation of a Radiomics model Based on Conventional MRI for Preoperative Prediction of Gliomas with IDH1 Mutations

Liang Han1, Yanwei Miao1, Junyi Dong1, Xiaoxin Li1, Lizhi Xie2, KaiYu Wang2, Qingwei Song1, and Ailian Liu1

1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2GE healthcare, Beijing, China

As the most common malignant tumor in the central nervous system, glioma is characterized by low progression-free survival. Studies show that abnormal expression of isocitrate dehydrogenase 1(IDH1) is closely related with the occurrence of brain tumors, especially gliomas. Evidence suggests that gliomas with mutated IDH1 have improved prognosis compared to those with wild-type IDH1.Radiomics means the high-throughput extraction of large amounts of quantitative image features from radiographic images, including segmenting tumors, building models, and then predicting and analyzing those massive feature data to assistphysicians. In this study, the IDH1 mutation was predicted by such radiomics modeling.

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