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T1/T2 ratio: A quantitative sensitive marker of brain tissue integrity in multiple sclerosis.

Authors :
Hannoun S
Kocevar G
Codjia P
Barile B
Cotton F
Durand-Dubief F
Sappey-Marinier D
Source :
Journal of neuroimaging : official journal of the American Society of Neuroimaging [J Neuroimaging] 2022 Mar; Vol. 32 (2), pp. 328-336. Date of Electronic Publication: 2021 Nov 09.
Publication Year :
2022

Abstract

Background and Purpose: The aim of this study is to determine whether cerebral white matter (WM) microstructural damage, defined by decreased fractional anisotropy (FA) and increased axial (AD) and radial (RD) diffusivities, could be detected as accurately by measuring the T1/T2 ratio, in relapsing-remitting multiple sclerosis (RRMS) patients compared to healthy control (HC) subjects.<br />Methods: Twenty-eight RRMS patients and 24 HC subjects were included in this study. Region-based analysis based on the ICBM-81 diffusion tensor imaging (DTI) atlas WM labels was performed to compare T1/T2 ratio to DTI values in normal-appearing WM (NAWM) regions of interest. Lesions segmentation was also performed and compared to the HC global WM.<br />Results: A significant 19.65% decrease of T1/T2 ratio values was observed in NAWM regions of RRMS patients compared to HC. A significant 6.30% decrease of FA, as well as significant 4.76% and 10.27% increases of AD and RD, respectively, were observed in RRMS compared to the HC group in various NAWM regions. Compared to the global WM HC mask, lesions have significantly decreased T1/T2 ratio and FA and increased AD and RD (p < . 001).<br />Conclusions: Results showed significant differences between RRMS and HC in both DTI and T1/T2 ratio measurements. T1/T2 ratio even demonstrated extensive WM abnormalities when compared to DTI, thereby highlighting the ratio's sensitivity to subtle differences in cerebral WM structural integrity using only conventional MRI sequences.<br /> (© 2021 American Society of Neuroimaging.)

Details

Language :
English
ISSN :
1552-6569
Volume :
32
Issue :
2
Database :
MEDLINE
Journal :
Journal of neuroimaging : official journal of the American Society of Neuroimaging
Publication Type :
Academic Journal
Accession number :
34752685
Full Text :
https://doi.org/10.1111/jon.12943