Abstract #4349

Diffusional kurtosis imaging for differentiating between high-grade glioma and primary central nervous system lymphoma

Haopeng Pang¹, Yan Ren¹, Zhenwei Yao¹, Jingsong Wu¹, Chengjun Yao¹, Xuefei Dang², Yong Zhang³, and Xiaoyuan Feng¹

¹Affiliated Huashan Hospital of Fudan University, Shanghai, China, People's Republic of, ²The 307th Hospital of Chinese People’s liberation Army, Beijing, China, People's Republic of, ³MR Research China, GE Healthcare, Beijing, China, People's Republic of

This study provided a new non-invasive method to better discriminate between high-grade gliomas and primary nervous system lymphomas. We found the kurtosis parameters (MK and K_//) showed more obvious differences that can be used for differentiating between these two types of tumors than diffusion parameters (FA, MD, λ_// and λ⊥). The ROC curve analysis showed MK and K_// had the largest area under curve, which further confirmed that the kurtosis parameters MK and K_// could better separate these tumors than traditional diffusion parameters.

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