Abstract #4528

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

Junqi Xu¹, He Wang^1,2, 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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