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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