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Abstract #1729

Prediction of high-grade glioma prognosis based on radiomics features of tumor and peritumoral edema areas from magnetic resonance imaging

YiXin HU1, Lan Li1, JiuQuan Zhang1, and Jianqing SUN2
1Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, ChongQing, China, 2Philips Healthcare, Shanghai, China

To build a radiomics signature from MR images to predict high grade glioma (HGG, WHO grade III and IV) patients with different prognosis. Then, to explore the predictive value based on the edge of the tumor area and PBZ, respectively.

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Abstract