Multiple sclerosis: Benefits of q-space imaging in evaluation of normal-appearing and periplaque white matter

Abstract Introduction Diffusion tensor imaging (DTI) reveals white matter pathology in patients with multiple sclerosis (MS). A recent non-Gaussian diffusion imaging technique, q-space imaging (QSI), may provide several advantages over conventional MRI techniques in regard to in vivo evaluation of t...

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Bibliographic Details
Published in:Magnetic resonance imaging 2014-07, Vol.32 (6), p.625-629
Main Authors: Hori, Masaaki, Yoshida, Mariko, Yokoyama, Kazumasa, Kamagata, Koji, Kumagai, Fumitaka, Fukunaga, Issei, Kamiya, Kouhei, Suzuki, Michimasa, Masutani, Yoshitaka, Hamasaki, Nozomi, Suzuki, Yuriko, Kyogoku, Shinsuke, Hattori, Nobutaka, Aoki, Shigeki
Format: Article
Language:English
Subjects:
Adult
Anisotropy
Diffusion tensor imaging
Diffusion Tensor Imaging - methods
Female
Humans
Image Interpretation, Computer-Assisted - methods
Male
Middle Aged
Multiple sclerosis
Multiple Sclerosis - pathology
Normal-appearing white matter
Periplaque white matter
q-space imaging
Radiology
Reproducibility of Results
Root mean square displacement
White Matter - pathology
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Summary:Abstract Introduction Diffusion tensor imaging (DTI) reveals white matter pathology in patients with multiple sclerosis (MS). A recent non-Gaussian diffusion imaging technique, q-space imaging (QSI), may provide several advantages over conventional MRI techniques in regard to in vivo evaluation of the disease process in patients with MS. The purpose of this study is to investigate the use of root mean square displacement (RMSD) derived from QSI data to characterize plaques, periplaque white matter (PWM), and normal-appearing white matter (NAWM) in patients with MS. Methods We generated apparent diffusion coefficient (ADC) and fractional anisotropy (FA) maps by using conventional DTI data from 21 MS patients; we generated RMSD maps by using QSI data from these patients. We used the Steel–Dwass test to compare the diffusion metrics of regions of interest in plaques, PWM, and NAWM. Results ADC differed ( P < 0.05) between plaques and PWM and between plaques and NAWM. FA differed ( P < 0.05) between plaques and NAWM. RMSD differed ( P < 0.05) between plaques and PWM, plaques and NAWM, and PWM and NAWM. Conclusion RMSD values from QSI may reflect microstructural changes and white-matter damage in patients with MS with higher sensitivity than do conventional ADC and FA values.
ISSN:0730-725X
1873-5894
DOI:10.1016/j.mri.2014.02.024