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Cervical and thoracic cord atrophy in multiple sclerosis phenotypes: Quantification and correlation with clinical disability

OBJECTIVE: We sought to characterize spinal cord atrophy along the entire spinal cord in the major multiple sclerosis (MS) phenotypes, and evaluate its correlation with clinical disability. METHODS: Axial T(1)-weighted images were automatically reformatted at each point along the cord. Spinal cord c...

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Autores principales: Mina, Yair, Azodi, Shila, Dubuche, Tsemacha, Andrada, Frances, Osuorah, Ikesinachi, Ohayon, Joan, Cortese, Irene, Wu, Tianxia, Johnson, Kory R., Reich, Daniel S., Nair, Govind, Jacobson, Steven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8131917/
https://www.ncbi.nlm.nih.gov/pubmed/34215150
http://dx.doi.org/10.1016/j.nicl.2021.102680
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author Mina, Yair
Azodi, Shila
Dubuche, Tsemacha
Andrada, Frances
Osuorah, Ikesinachi
Ohayon, Joan
Cortese, Irene
Wu, Tianxia
Johnson, Kory R.
Reich, Daniel S.
Nair, Govind
Jacobson, Steven
author_facet Mina, Yair
Azodi, Shila
Dubuche, Tsemacha
Andrada, Frances
Osuorah, Ikesinachi
Ohayon, Joan
Cortese, Irene
Wu, Tianxia
Johnson, Kory R.
Reich, Daniel S.
Nair, Govind
Jacobson, Steven
author_sort Mina, Yair
collection PubMed
description OBJECTIVE: We sought to characterize spinal cord atrophy along the entire spinal cord in the major multiple sclerosis (MS) phenotypes, and evaluate its correlation with clinical disability. METHODS: Axial T(1)-weighted images were automatically reformatted at each point along the cord. Spinal cord cross‐sectional area (SCCSA) were calculated from C1-T10 vertebral body levels and profile plots were compared across phenotypes. Average values from C2-3, C4-5, and T4-9 regions were compared across phenotypes and correlated with clinical scores, and then categorized as atrophic/normal based on z-scores derived from controls, to compare clinical scores between subgroups. In a subset of relapsing-remitting cases with longitudinal scans these regions were compared to change in clinical scores. RESULTS: The cross-sectional study consisted of 149 adults diagnosed with relapsing-remitting MS (RRMS), 49 with secondary-progressive MS (SPMS), 58 with primary-progressive MS (PPMS) and 48 controls. The longitudinal study included 78 RRMS cases. Compared to controls, all MS groups had smaller average regions except RRMS in T4-9 region. In all MS groups, SCCSA from all regions, particularly the cervical cord, correlated with most clinical measures. In the RRMS cohort, 22% of cases had at least one atrophic region, whereas in progressive MS the rate was almost 70%. Longitudinal analysis showed correlation between clinical disability and cervical cord thinning. CONCLUSIONS: Spinal cord atrophy was prevalent across MS phenotypes, with regional measures from the RRMS cohort and the progressive cohort, including SPMS and PPMS, being correlated with disability. Longitudinal changes in the spinal cord were documented in RRMS cases, making it a potential marker for disease progression. While cervical SCCSA correlated with most disability and progression measures, inclusion of thoracic measurements improved this correlation and allowed for better subgrouping of spinal cord phenotypes. Cord atrophy is an important and easily obtainable imaging marker of clinical and sub-clinical progression in all MS phenotypes, and such measures can play a key role in patient selection for clinical trials.
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spelling pubmed-81319172021-05-21 Cervical and thoracic cord atrophy in multiple sclerosis phenotypes: Quantification and correlation with clinical disability Mina, Yair Azodi, Shila Dubuche, Tsemacha Andrada, Frances Osuorah, Ikesinachi Ohayon, Joan Cortese, Irene Wu, Tianxia Johnson, Kory R. Reich, Daniel S. Nair, Govind Jacobson, Steven Neuroimage Clin Regular Article OBJECTIVE: We sought to characterize spinal cord atrophy along the entire spinal cord in the major multiple sclerosis (MS) phenotypes, and evaluate its correlation with clinical disability. METHODS: Axial T(1)-weighted images were automatically reformatted at each point along the cord. Spinal cord cross‐sectional area (SCCSA) were calculated from C1-T10 vertebral body levels and profile plots were compared across phenotypes. Average values from C2-3, C4-5, and T4-9 regions were compared across phenotypes and correlated with clinical scores, and then categorized as atrophic/normal based on z-scores derived from controls, to compare clinical scores between subgroups. In a subset of relapsing-remitting cases with longitudinal scans these regions were compared to change in clinical scores. RESULTS: The cross-sectional study consisted of 149 adults diagnosed with relapsing-remitting MS (RRMS), 49 with secondary-progressive MS (SPMS), 58 with primary-progressive MS (PPMS) and 48 controls. The longitudinal study included 78 RRMS cases. Compared to controls, all MS groups had smaller average regions except RRMS in T4-9 region. In all MS groups, SCCSA from all regions, particularly the cervical cord, correlated with most clinical measures. In the RRMS cohort, 22% of cases had at least one atrophic region, whereas in progressive MS the rate was almost 70%. Longitudinal analysis showed correlation between clinical disability and cervical cord thinning. CONCLUSIONS: Spinal cord atrophy was prevalent across MS phenotypes, with regional measures from the RRMS cohort and the progressive cohort, including SPMS and PPMS, being correlated with disability. Longitudinal changes in the spinal cord were documented in RRMS cases, making it a potential marker for disease progression. While cervical SCCSA correlated with most disability and progression measures, inclusion of thoracic measurements improved this correlation and allowed for better subgrouping of spinal cord phenotypes. Cord atrophy is an important and easily obtainable imaging marker of clinical and sub-clinical progression in all MS phenotypes, and such measures can play a key role in patient selection for clinical trials. Elsevier 2021-04-28 /pmc/articles/PMC8131917/ /pubmed/34215150 http://dx.doi.org/10.1016/j.nicl.2021.102680 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Mina, Yair
Azodi, Shila
Dubuche, Tsemacha
Andrada, Frances
Osuorah, Ikesinachi
Ohayon, Joan
Cortese, Irene
Wu, Tianxia
Johnson, Kory R.
Reich, Daniel S.
Nair, Govind
Jacobson, Steven
Cervical and thoracic cord atrophy in multiple sclerosis phenotypes: Quantification and correlation with clinical disability
title Cervical and thoracic cord atrophy in multiple sclerosis phenotypes: Quantification and correlation with clinical disability
title_full Cervical and thoracic cord atrophy in multiple sclerosis phenotypes: Quantification and correlation with clinical disability
title_fullStr Cervical and thoracic cord atrophy in multiple sclerosis phenotypes: Quantification and correlation with clinical disability
title_full_unstemmed Cervical and thoracic cord atrophy in multiple sclerosis phenotypes: Quantification and correlation with clinical disability
title_short Cervical and thoracic cord atrophy in multiple sclerosis phenotypes: Quantification and correlation with clinical disability
title_sort cervical and thoracic cord atrophy in multiple sclerosis phenotypes: quantification and correlation with clinical disability
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8131917/
https://www.ncbi.nlm.nih.gov/pubmed/34215150
http://dx.doi.org/10.1016/j.nicl.2021.102680
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