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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