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Feasibility of detecting atrophy relevant for disability and cognition in multiple sclerosis using 3D-FLAIR

BACKGROUND AND OBJECTIVES: Disability and cognitive impairment are known to be related to brain atrophy in multiple sclerosis (MS), but 3D-T1 imaging required for brain volumetrics is often unavailable in clinical protocols, unlike 3D-FLAIR. Here our aim was to investigate whether brain volumes deri...

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Autores principales: Noteboom, Samantha, van Nederpelt, D. R., Bajrami, A., Moraal, B., Caan, M. W. A., Barkhof, F., Calabrese, M., Vrenken, H., Strijbis, E. M. M., Steenwijk, M. D., Schoonheim, M. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576669/
https://www.ncbi.nlm.nih.gov/pubmed/37466663
http://dx.doi.org/10.1007/s00415-023-11870-4
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author Noteboom, Samantha
van Nederpelt, D. R.
Bajrami, A.
Moraal, B.
Caan, M. W. A.
Barkhof, F.
Calabrese, M.
Vrenken, H.
Strijbis, E. M. M.
Steenwijk, M. D.
Schoonheim, M. M.
author_facet Noteboom, Samantha
van Nederpelt, D. R.
Bajrami, A.
Moraal, B.
Caan, M. W. A.
Barkhof, F.
Calabrese, M.
Vrenken, H.
Strijbis, E. M. M.
Steenwijk, M. D.
Schoonheim, M. M.
author_sort Noteboom, Samantha
collection PubMed
description BACKGROUND AND OBJECTIVES: Disability and cognitive impairment are known to be related to brain atrophy in multiple sclerosis (MS), but 3D-T1 imaging required for brain volumetrics is often unavailable in clinical protocols, unlike 3D-FLAIR. Here our aim was to investigate whether brain volumes derived from 3D-FLAIR images result in similar associations with disability and cognition in MS as do those derived from 3D-T1 images. METHODS: 3T-MRI scans of 329 MS patients and 76 healthy controls were included in this cross-sectional study. Brain volumes were derived using FreeSurfer on 3D-T1 and compared with brain volumes derived with SynthSeg and SAMSEG on 3D-FLAIR. Relative agreement was evaluated by calculating the intraclass correlation coefficient (ICC) of the 3D-T1 and 3D-FLAIR volumes. Consistency of relations with disability and average cognition was assessed using linear regression, while correcting for age and sex. The findings were corroborated in an independent validation cohort of 125 MS patients. RESULTS: The ICC between volume measured with FreeSurfer and those measured on 3D-FLAIR for brain, ventricle, cortex, total deep gray matter and thalamus was above 0.74 for SAMSEG and above 0.91 for SynthSeg. Worse disability and lower average cognition were similarly associated with brain (adj. R(2) = 0.24–0.27, p < 0.01; adj. R(2) = 0.26–0.29, p < 0.001) ventricle (adj. R(2) = 0.27–0.28, p < 0.001; adj. R(2) = 0.19–0.20, p < 0.001) and deep gray matter volumes (adj. R(2) = 0.24–0.28, p < 0.001; adj. R(2) = 0.27–0.28, p < 0.001) determined with all methods, except for cortical volumes derived from 3D-FLAIR. DISCUSSION: In this cross-sectional study, brain volumes derived from 3D-FLAIR and 3D-T1 show similar relationships to disability and cognitive dysfunction in MS, highlighting the potential of these techniques in clinical datasets. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00415-023-11870-4.
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spelling pubmed-105766692023-10-16 Feasibility of detecting atrophy relevant for disability and cognition in multiple sclerosis using 3D-FLAIR Noteboom, Samantha van Nederpelt, D. R. Bajrami, A. Moraal, B. Caan, M. W. A. Barkhof, F. Calabrese, M. Vrenken, H. Strijbis, E. M. M. Steenwijk, M. D. Schoonheim, M. M. J Neurol Original Communication BACKGROUND AND OBJECTIVES: Disability and cognitive impairment are known to be related to brain atrophy in multiple sclerosis (MS), but 3D-T1 imaging required for brain volumetrics is often unavailable in clinical protocols, unlike 3D-FLAIR. Here our aim was to investigate whether brain volumes derived from 3D-FLAIR images result in similar associations with disability and cognition in MS as do those derived from 3D-T1 images. METHODS: 3T-MRI scans of 329 MS patients and 76 healthy controls were included in this cross-sectional study. Brain volumes were derived using FreeSurfer on 3D-T1 and compared with brain volumes derived with SynthSeg and SAMSEG on 3D-FLAIR. Relative agreement was evaluated by calculating the intraclass correlation coefficient (ICC) of the 3D-T1 and 3D-FLAIR volumes. Consistency of relations with disability and average cognition was assessed using linear regression, while correcting for age and sex. The findings were corroborated in an independent validation cohort of 125 MS patients. RESULTS: The ICC between volume measured with FreeSurfer and those measured on 3D-FLAIR for brain, ventricle, cortex, total deep gray matter and thalamus was above 0.74 for SAMSEG and above 0.91 for SynthSeg. Worse disability and lower average cognition were similarly associated with brain (adj. R(2) = 0.24–0.27, p < 0.01; adj. R(2) = 0.26–0.29, p < 0.001) ventricle (adj. R(2) = 0.27–0.28, p < 0.001; adj. R(2) = 0.19–0.20, p < 0.001) and deep gray matter volumes (adj. R(2) = 0.24–0.28, p < 0.001; adj. R(2) = 0.27–0.28, p < 0.001) determined with all methods, except for cortical volumes derived from 3D-FLAIR. DISCUSSION: In this cross-sectional study, brain volumes derived from 3D-FLAIR and 3D-T1 show similar relationships to disability and cognitive dysfunction in MS, highlighting the potential of these techniques in clinical datasets. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00415-023-11870-4. Springer Berlin Heidelberg 2023-07-19 2023 /pmc/articles/PMC10576669/ /pubmed/37466663 http://dx.doi.org/10.1007/s00415-023-11870-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Communication
Noteboom, Samantha
van Nederpelt, D. R.
Bajrami, A.
Moraal, B.
Caan, M. W. A.
Barkhof, F.
Calabrese, M.
Vrenken, H.
Strijbis, E. M. M.
Steenwijk, M. D.
Schoonheim, M. M.
Feasibility of detecting atrophy relevant for disability and cognition in multiple sclerosis using 3D-FLAIR
title Feasibility of detecting atrophy relevant for disability and cognition in multiple sclerosis using 3D-FLAIR
title_full Feasibility of detecting atrophy relevant for disability and cognition in multiple sclerosis using 3D-FLAIR
title_fullStr Feasibility of detecting atrophy relevant for disability and cognition in multiple sclerosis using 3D-FLAIR
title_full_unstemmed Feasibility of detecting atrophy relevant for disability and cognition in multiple sclerosis using 3D-FLAIR
title_short Feasibility of detecting atrophy relevant for disability and cognition in multiple sclerosis using 3D-FLAIR
title_sort feasibility of detecting atrophy relevant for disability and cognition in multiple sclerosis using 3d-flair
topic Original Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576669/
https://www.ncbi.nlm.nih.gov/pubmed/37466663
http://dx.doi.org/10.1007/s00415-023-11870-4
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