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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