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Research ArticleAdult Brain
Open Access

White Matter Abnormalities in Multiple Sclerosis Evaluated by Quantitative Synthetic MRI, Diffusion Tensor Imaging, and Neurite Orientation Dispersion and Density Imaging

A. Hagiwara, K. Kamagata, K. Shimoji, K. Yokoyama, C. Andica, M. Hori, S. Fujita, T. Maekawa, R. Irie, T. Akashi, A. Wada, M. Suzuki, O. Abe, N. Hattori and S. Aoki
American Journal of Neuroradiology October 2019, 40 (10) 1642-1648; DOI: https://doi.org/10.3174/ajnr.A6209
A. Hagiwara
aFrom the Departments of Radiology (A.H., K.K., K.S., C.A., M.H., S.F., T.M., R.I., T.A., A.W., M.S., S.A.)
cDepartment of Radiology (A.H., S.F., T.M., R.I., O.A.), Graduate School of Medicine, University of Tokyo, Tokyo, Japan
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  • ORCID record for A. Hagiwara
K. Kamagata
aFrom the Departments of Radiology (A.H., K.K., K.S., C.A., M.H., S.F., T.M., R.I., T.A., A.W., M.S., S.A.)
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K. Shimoji
aFrom the Departments of Radiology (A.H., K.K., K.S., C.A., M.H., S.F., T.M., R.I., T.A., A.W., M.S., S.A.)
dDepartment of Diagnostic Radiology (K.S.), Tokyo Metropolitan Geriatric Hospital, Tokyo, Japan
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K. Yokoyama
bNeurology (K.Y., N.H.), Juntendo University School of Medicine, Tokyo, Japan
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C. Andica
aFrom the Departments of Radiology (A.H., K.K., K.S., C.A., M.H., S.F., T.M., R.I., T.A., A.W., M.S., S.A.)
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M. Hori
aFrom the Departments of Radiology (A.H., K.K., K.S., C.A., M.H., S.F., T.M., R.I., T.A., A.W., M.S., S.A.)
eDepartment of Radiology (M.H.), Toho University Omori Medical Center, Tokyo, Japan.
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S. Fujita
aFrom the Departments of Radiology (A.H., K.K., K.S., C.A., M.H., S.F., T.M., R.I., T.A., A.W., M.S., S.A.)
cDepartment of Radiology (A.H., S.F., T.M., R.I., O.A.), Graduate School of Medicine, University of Tokyo, Tokyo, Japan
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T. Maekawa
aFrom the Departments of Radiology (A.H., K.K., K.S., C.A., M.H., S.F., T.M., R.I., T.A., A.W., M.S., S.A.)
cDepartment of Radiology (A.H., S.F., T.M., R.I., O.A.), Graduate School of Medicine, University of Tokyo, Tokyo, Japan
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R. Irie
aFrom the Departments of Radiology (A.H., K.K., K.S., C.A., M.H., S.F., T.M., R.I., T.A., A.W., M.S., S.A.)
cDepartment of Radiology (A.H., S.F., T.M., R.I., O.A.), Graduate School of Medicine, University of Tokyo, Tokyo, Japan
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T. Akashi
aFrom the Departments of Radiology (A.H., K.K., K.S., C.A., M.H., S.F., T.M., R.I., T.A., A.W., M.S., S.A.)
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A. Wada
aFrom the Departments of Radiology (A.H., K.K., K.S., C.A., M.H., S.F., T.M., R.I., T.A., A.W., M.S., S.A.)
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M. Suzuki
aFrom the Departments of Radiology (A.H., K.K., K.S., C.A., M.H., S.F., T.M., R.I., T.A., A.W., M.S., S.A.)
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O. Abe
cDepartment of Radiology (A.H., S.F., T.M., R.I., O.A.), Graduate School of Medicine, University of Tokyo, Tokyo, Japan
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N. Hattori
bNeurology (K.Y., N.H.), Juntendo University School of Medicine, Tokyo, Japan
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S. Aoki
aFrom the Departments of Radiology (A.H., K.K., K.S., C.A., M.H., S.F., T.M., R.I., T.A., A.W., M.S., S.A.)
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Abstract

BACKGROUND AND PURPOSE: A number of MR-derived quantitative metrics have been suggested to assess the pathophysiology of MS, but the reports about combined analyses of these metrics are scarce. Our aim was to assess the spatial distribution of parameters for white matter myelin and axon integrity in patients with relapsing-remitting MS by multiparametric MR imaging.

MATERIALS AND METHODS: Twenty-four patients with relapsing-remitting MS and 24 age- and sex-matched controls were prospectively scanned by quantitative synthetic and 2-shell diffusion MR imaging. Synthetic MR imaging data were used to retrieve relaxometry parameters (R1 and R2 relaxation rates and proton density) and myelin volume fraction. Diffusion tensor metrics (fractional anisotropy and mean, axial, and radial diffusivity) and neurite orientation and dispersion index metrics (intracellular volume fraction, isotropic volume fraction, and orientation dispersion index) were retrieved from diffusion MR imaging data. These data were analyzed using Tract-Based Spatial Statistics.

RESULTS: Patients with MS showed significantly lower fractional anisotropy and myelin volume fraction and higher isotropic volume fraction in widespread white matter areas. Areas with different isotropic volume fractions were included within areas with lower fractional anisotropy. Myelin volume fraction showed no significant difference in some areas with significantly decreased fractional anisotropy in MS, including in the genu of the corpus callosum and bilateral anterior corona radiata, whereas myelin volume fraction was significantly decreased in some areas where fractional anisotropy showed no significant difference, including the bilateral posterior limb of the internal capsule, external capsule, sagittal striatum, fornix, and uncinate fasciculus.

CONCLUSIONS: We found differences in spatial distribution of abnormality in fractional anisotropy, isotropic volume fraction, and myelin volume fraction distribution in MS, which might be useful for characterizing white matter in patients with MS.

ABBREVIATIONS:

AVF
axon volume fraction
EDSS
Expanded Disability Status Scale
FA
fractional anisotropy
ICVF
intracellular volume fraction
ISO
isotropic volume fraction
MNI
Montreal Neurological Institute
MVF
myelin volume fraction
NAWM
normal-appearing white matter
NODDI
neurite orientation dispersion and density imaging
ODI
orientation dispersion index
QRAPMASTER
quantification of relaxation times and proton density by multiecho acquisition of a saturation-recovery using turbo spin-echo readout
  • © 2019 by American Journal of Neuroradiology

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American Journal of Neuroradiology: 40 (10)
American Journal of Neuroradiology
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Cite this article
A. Hagiwara, K. Kamagata, K. Shimoji, K. Yokoyama, C. Andica, M. Hori, S. Fujita, T. Maekawa, R. Irie, T. Akashi, A. Wada, M. Suzuki, O. Abe, N. Hattori, S. Aoki
White Matter Abnormalities in Multiple Sclerosis Evaluated by Quantitative Synthetic MRI, Diffusion Tensor Imaging, and Neurite Orientation Dispersion and Density Imaging
American Journal of Neuroradiology Oct 2019, 40 (10) 1642-1648; DOI: 10.3174/ajnr.A6209

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White Matter Abnormalities in Multiple Sclerosis Evaluated by Quantitative Synthetic MRI, Diffusion Tensor Imaging, and Neurite Orientation Dispersion and Density Imaging
A. Hagiwara, K. Kamagata, K. Shimoji, K. Yokoyama, C. Andica, M. Hori, S. Fujita, T. Maekawa, R. Irie, T. Akashi, A. Wada, M. Suzuki, O. Abe, N. Hattori, S. Aoki
American Journal of Neuroradiology Oct 2019, 40 (10) 1642-1648; DOI: 10.3174/ajnr.A6209
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