Masaaki Hori1, Mariko Yoshida2, Kazumasa Yokoyama3, Koji Kamagata2, Fumitaka Kumagai4, Issei Fukunaga4, Kouhei Kamiya2, Michimasa Suzuki2, Yoshitaka Masutani5, Nozomi Hamasaki2, Yuriko Suzuki6, Shinsuke Kyogoku7, Nobutaka Hattori3, Shigeki Aoki2. 1. Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan. Electronic address: mahori@juntendo.ac.jp. 2. Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan. 3. Department of Neurology, Juntendo University School of Medicine, Tokyo, Japan. 4. Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan; Department of Health Science, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan. 5. Department of Radiology, The University of Tokyo Hospital, Tokyo, Japan. 6. Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan; Philips Electronics Japan, Tokyo, Japan. 7. Department of Radiology, Juntendo University Urayasu Hospital, Chiba, Japan.
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.
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.
Authors: A Hagiwara; M Hori; K Yokoyama; M Nakazawa; R Ueda; M Horita; C Andica; O Abe; S Aoki Journal: AJNR Am J Neuroradiol Date: 2017-08-03 Impact factor: 3.825
Authors: Qiyuan Tian; Grant Yang; Christoph Leuze; Ariel Rokem; Brian L Edlow; Jennifer A McNab Journal: Neuroimage Date: 2019-01-23 Impact factor: 6.556