Abstract #4388

Anomalous diffusion in cerebral gliomas assessed using a fractional motion model

Boyan Xu¹, Lu Su², Zhenxiong Wang³, Yaoyu Zhang¹, Yang Fan⁴, Bing Wu⁴, Gaolang Gong⁵, Wenzhen Zhu³, Peiyi Gao², and Jia-Hong Gao¹

¹Center for MRI Research, Peking University, Beijing, People's Republic of China, ²Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China, ³Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China, ⁴MR Research China, GE Healthcare, Beijing, People's Republic of China, ⁵State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, People's Republic of China

Several models have been proposed to explain the anomalous diffusion in biological tissues. Among them, the fractional motion (FM) model was considered more appropriate. In this study, the FM model was applied in gliomas to assess its feasibility for grading gliomas. It was found that the FM model could improve the diagnostic accuracy in differentiation low- and high-grade gliomas, indicating the potential of the FM model to facilitate future studies of neuro-pathological changes in clinical populations.

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