Meeting Banner
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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here