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Abstract #0504

Prediction of prognostic characteristics in glioma patients using amide proton transfer imaging at 3 Tesla

Jie Liu1, Xiaofei Lv2, Chao Ke3, Zongwei Xu1, Long Qian4, Shijie Xu3, Xin Liu1, Hairong Zheng1, and Yin Wu1
1Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2Department of Medical Imaging, Sun Yat-Sen University Cancer Center, Guangzhou, China, 3Department of Neurosurgery, Sun Yat-Sen University Cancer Center, Guangzhou, China, 4GE Healthcare, Beijing, China

Early identification of glioma prognostic characteristics is of great clinical importance. This study aims to evaluate the feasibility of APT in the prediction of tumor grade, IDH mutation and MGMT promoter methylation status at 3 Tesla. A total of 50 patients were recruited. Results show that although APTw effect exhibits no substantial difference based on MGMT methylation status, it enables the discrimination of histopathological grade and IDH mutant status with AUCs higher than 0.88. The results suggest APTw is a valuable imaging biomarker for prediction of tumor prognostic parameters, that may benefit accurate diagnosis and prompt treatment decisions.

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