Search: WFRF:(Ineichen A) >
Association between...
-
Moridi, TKarolinska Institutet
(author)
Association between brain volume and disability over time in multiple sclerosis
- Article/chapterEnglish2022
Publisher, publication year, extent ...
-
2022-12-18
-
SAGE Publications,2022
Numbers
-
LIBRIS-ID:oai:prod.swepub.kib.ki.se:236570871
-
http://kipublications.ki.se/Default.aspx?queryparsed=id:236570871URI
-
https://doi.org/10.1177/20552173221144230DOI
Supplementary language notes
-
Language:English
-
Summary in:English
Part of subdatabase
Classification
-
Subject category:ref swepub-contenttype
-
Subject category:art swepub-publicationtype
Notes
-
Most previous multiple sclerosis (MS) brain atrophy studies using MS impact scale 29 (MSIS-29) or symbol digit modalities test (SDMT) have been cross-sectional with limited sets of clinical outcomes. Objectives To investigate which brain and lesion volume metrics show the strongest long-term associations with the expanded disability status scale (EDSS), SDMT, and MSIS-29, and whether MRI-clinical associations vary with age. Methods We acquired MRI and clinical data from a real-world Swedish MS cohort. FreeSurfer and SPM Lesion Segmentation Tool were used to obtain brain parenchymal, cortical and subcortical grey matter, thalamic and white matter fractions as well as T1- and T2-lesion volumes. Mixed-effects and rolling regression models were used in the statistical analyses. Results We included 989 persons with MS followed for a median of 9.3 (EDSS), 10.1 (SDMT), and 9.3 (MSIS-29) years, respectively. In a cross-sectional analysis, the strength of the associations of the MRI metrics with the EDSS and MSIS-29 was found to drastically increase after 40–50 years of age. Low baseline regional grey matter fractions were associated with longitudinal increase of EDSS and physical MSIS-29 scores and decrease in SDMT scores and these atrophy measures were stronger predictors than the lesion volumes. Conclusions The strength of MRI-clinical associations increase with age. Grey matter volume fractions are stronger predictors of long-term disability measures than lesion volumes.
Added entries (persons, corporate bodies, meetings, titles ...)
-
Stawiarz, LKarolinska Institutet
(author)
-
McKay, KAKarolinska Institutet
(author)
-
Ineichen, BV
(author)
-
Ouellette, RKarolinska Institutet
(author)
-
Ferreira, DKarolinska Institutet
(author)
-
Muehlboeck, JSKarolinska Institutet
(author)
-
Westman, EKarolinska Institutet
(author)
-
Kockum, IKarolinska Institutet
(author)
-
Olsson, TKarolinska Institutet
(author)
-
Piehl, F
(author)
-
Hillert, JKarolinska Institutet
(author)
-
Manouchehrinia, AKarolinska Institutet
(author)
-
Granberg, TKarolinska Institutet
(author)
-
Karolinska Institutet
(creator_code:org_t)
Related titles
-
In:Multiple sclerosis journal - experimental, translational and clinical: SAGE Publications8:4, s. 20552173221144230-2055-2173
Internet link
Find in a library
To the university's database
- By the author/editor
-
Moridi, T
-
Stawiarz, L
-
McKay, KA
-
Ineichen, BV
-
Ouellette, R
-
Ferreira, D
-
show more...
-
Muehlboeck, JS
-
Westman, E
-
Kockum, I
-
Olsson, T
-
Piehl, F
-
Hillert, J
-
Manouchehrinia, ...
-
Granberg, T
-
show less...
- Articles in the publication
-
Multiple scleros ...
- By the university
-
Karolinska Institutet