Thomas Moridi, Leszek Stawiarz, Kyla A McKay, Benjamin V Ineichen, Russell Ouellette, Daniel Ferreira, J-Sebastian Muehlboeck, Eric Westman, Ingrid Kockum, Tomas Olsson, Fredrik Piehl, Jan Hillert, Ali Manouchehrinia, Tobias Granberg
{"title":"多发性硬化症脑容量与残疾之间的关系。","authors":"Thomas Moridi, Leszek Stawiarz, Kyla A McKay, Benjamin V Ineichen, Russell Ouellette, Daniel Ferreira, J-Sebastian Muehlboeck, Eric Westman, Ingrid Kockum, Tomas Olsson, Fredrik Piehl, Jan Hillert, Ali Manouchehrinia, Tobias Granberg","doi":"10.1177/20552173221144230","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Objectives: </strong>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.</p><p><strong>Methods: </strong>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 T<sub>1</sub>- and T<sub>2</sub>-lesion volumes. Mixed-effects and rolling regression models were used in the statistical analyses.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>The strength of MRI-clinical associations increase with age. Grey matter volume fractions are stronger predictors of long-term disability measures than lesion volumes.</p>","PeriodicalId":18961,"journal":{"name":"Multiple Sclerosis Journal - Experimental, Translational and Clinical","volume":"8 4","pages":"20552173221144230"},"PeriodicalIF":2.5000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9768834/pdf/","citationCount":"1","resultStr":"{\"title\":\"Association between brain volume and disability over time in multiple sclerosis.\",\"authors\":\"Thomas Moridi, Leszek Stawiarz, Kyla A McKay, Benjamin V Ineichen, Russell Ouellette, Daniel Ferreira, J-Sebastian Muehlboeck, Eric Westman, Ingrid Kockum, Tomas Olsson, Fredrik Piehl, Jan Hillert, Ali Manouchehrinia, Tobias Granberg\",\"doi\":\"10.1177/20552173221144230\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Objectives: </strong>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.</p><p><strong>Methods: </strong>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 T<sub>1</sub>- and T<sub>2</sub>-lesion volumes. Mixed-effects and rolling regression models were used in the statistical analyses.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>The strength of MRI-clinical associations increase with age. Grey matter volume fractions are stronger predictors of long-term disability measures than lesion volumes.</p>\",\"PeriodicalId\":18961,\"journal\":{\"name\":\"Multiple Sclerosis Journal - Experimental, Translational and Clinical\",\"volume\":\"8 4\",\"pages\":\"20552173221144230\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2022-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9768834/pdf/\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Multiple Sclerosis Journal - Experimental, Translational and Clinical\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/20552173221144230\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Multiple Sclerosis Journal - Experimental, Translational and Clinical","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/20552173221144230","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Association between brain volume and disability over time in multiple sclerosis.
Background: 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.
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