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Abstract #0570

Differentiation of Early-Stage Parkinsonisms using Diffusion Kurtosis/Tensor Imaging

Kenji Ito 1 , Makoto Sasaki 1 , Chigumi Ohtuka 2 , Ikuko Uwano 1 , Fumio Yamashita 1 , Satomi Higuchi 1 , Jonathan Goodwin 1,3 , Taisuke Harada 1,3 , and Yasuo Terayama 2

1 Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, Yahaba, Japan, 2 Department of Neurology and Gerontology, Iwate Medical University, Morioka, Japan, 3 Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Hokkaido, Japan

The differential diagnosis of early-stage parkinsonisms such as PD, MSA-P, MSA-C, and PSP is often difficult. Hence, we investigated whether diffusion kurtosis imaging (DKI), which enables detecting subtle pathological changes, can differentiate these disorders by using an automated ROI-based quantitative analysis. Mean kurtosis (MK) values of the gray matter structures were significantly different between patients with PD and PSP, while fractional anisotropy and/or mean diffusivity in the white matter structures were different between patients with PD and patients with MSA-C/PSP. A combined usage of DKI and other classical diffusion metrics can therefore contribute to the differential diagnosis of early-stage parkinsonisms.

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