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Abstract #4528

Differentiating Low- and High-Grade Adult glioma Using Multi-diffusion Models

Junqi Xu1, He Wang1,2, Xueying Zhao1, Hui Zhang1, Xiaoyuan Feng3, and Ren Yan3
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Human Phenome Institute, Fudan University, Shanghai, China, 3Radiology, Huashan Hospital, Fudan University, Shanghai, China

To offer a potential multiparameter-mapping platform for clinical pathological diagnosis using multi-diffusion models including mono-exponentional model, IVIM, SEM, FROC, CTRW, SM and DKI. The U-test and ROC analysis show the superiority of FROC, CTRW and DKI models in diagnostic accuracy for grading brain tumors (at 0.770, 0.780 and 0.817 respectively).

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