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Abstract #2224

Development and validation of a MRI-based radiomics prognostic classifier in patients with primary glioblastoma multiforme

Xin Chen1, Zaiyi Liu2, Xinqing Jiang1, Xinhua Wei1, and Zhongping Zhang3

1Department of radiology, Guangzhou First People's Hospital, Guangzhou, People's Republic of China, 2Department of radiology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China, 3GE Healthcare China, Guangzhou, People's Republic of China

Glioblastoma multiforme (GBM) is the most frequent and deadly type of primary malignant tumor in the central nervous system with a median survival range of only 9-15 months. We developed and validated a MRI-based radiomics classifier to predict overall survival(OS) in patients with newly diagnosed GBM. The results showed that a 7-radiomics classifier allows prediction of survival and stratification of patients with newly diagnosed GBM into a low- or high-risk group for OS.

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