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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