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Longitudinal tracking of axonal loss using diffusion magnetic resonance imaging in multiple sclerosis

Axonal loss in the CNS is a key driver of progressive neurological impairments in people with multiple sclerosis. Currently, there are no established methods for tracking axonal loss clinically. This study aimed to determine the sensitivity of longitudinal diffusion MRI-derived fibre-specific measur...

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Autores principales: Boonstra, Frederique M., Clough, Meaghan, Strik, Myrte, van der Walt, Anneke, Butzkueven, Helmut, White, Owen B., Law, Meng, Fielding, Joanne, Kolbe, Scott C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9006042/
https://www.ncbi.nlm.nih.gov/pubmed/35425898
http://dx.doi.org/10.1093/braincomms/fcac065
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author Boonstra, Frederique M.
Clough, Meaghan
Strik, Myrte
van der Walt, Anneke
Butzkueven, Helmut
White, Owen B.
Law, Meng
Fielding, Joanne
Kolbe, Scott C.
author_facet Boonstra, Frederique M.
Clough, Meaghan
Strik, Myrte
van der Walt, Anneke
Butzkueven, Helmut
White, Owen B.
Law, Meng
Fielding, Joanne
Kolbe, Scott C.
author_sort Boonstra, Frederique M.
collection PubMed
description Axonal loss in the CNS is a key driver of progressive neurological impairments in people with multiple sclerosis. Currently, there are no established methods for tracking axonal loss clinically. This study aimed to determine the sensitivity of longitudinal diffusion MRI-derived fibre-specific measures of axonal loss in people with multiple sclerosis. Fibre measures were derived from diffusion MRI acquired as part of a standard radiological MRI protocol and were compared (i) to establish measures of neuro-axonal degeneration: brain parenchymal fraction and retinal nerve fibre layer thickness and (ii) between different disease stages: clinically isolated syndrome and early/late relapsing–remitting multiple sclerosis. Retrospectively identified data from 59 people with multiple sclerosis (18 clinically isolated syndrome, 22 early and 19 late relapsing–remitting) who underwent diffusion MRI as part of their routine clinical monitoring were collated and analysed. Twenty-six patients had 1-year and 14 patients had a 2-year follow-up. Brain parenchymal fraction was calculated from 3D MRI scans, and fibre-specific measures were calculated from diffusion MRI using multi-tissue constrained spherical deconvolution. At each study visit, patients underwent optical coherence tomography to determine retinal nerve fibre layer thickness, and standard neurological assessment expanded the disability status scale. We found a significant annual fibre-specific neuro-axonal degeneration (mean ± SD = −3.49 ± 3.32%, P < 0.001) that was ∼7 times larger than the annual change of brain parenchymal fraction (−0.53 ± 0.95%, P < 0.001), and more than four times larger than annual retinal nerve fibre layer thinning (−0.75 ± 2.50% P = 0.036). Only fibre-specific measures showed a significant difference in annual degeneration between the disease stages (P = 0.029). Reduced brain parenchymal fraction, retinal nerve fibre layer thickness and fibre-specific measures were moderately related to higher expanded disability status scale (rho = −0.368, rho = −0.408 and rho = −0.365, respectively). Fibre-specific measures can be measured from data collected within a standard radiological multiple sclerosis study and are substantially more sensitive to longitudinal change compared with brain atrophy and retinal nerve fibre layer thinning.
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spelling pubmed-90060422022-04-13 Longitudinal tracking of axonal loss using diffusion magnetic resonance imaging in multiple sclerosis Boonstra, Frederique M. Clough, Meaghan Strik, Myrte van der Walt, Anneke Butzkueven, Helmut White, Owen B. Law, Meng Fielding, Joanne Kolbe, Scott C. Brain Commun Original Article Axonal loss in the CNS is a key driver of progressive neurological impairments in people with multiple sclerosis. Currently, there are no established methods for tracking axonal loss clinically. This study aimed to determine the sensitivity of longitudinal diffusion MRI-derived fibre-specific measures of axonal loss in people with multiple sclerosis. Fibre measures were derived from diffusion MRI acquired as part of a standard radiological MRI protocol and were compared (i) to establish measures of neuro-axonal degeneration: brain parenchymal fraction and retinal nerve fibre layer thickness and (ii) between different disease stages: clinically isolated syndrome and early/late relapsing–remitting multiple sclerosis. Retrospectively identified data from 59 people with multiple sclerosis (18 clinically isolated syndrome, 22 early and 19 late relapsing–remitting) who underwent diffusion MRI as part of their routine clinical monitoring were collated and analysed. Twenty-six patients had 1-year and 14 patients had a 2-year follow-up. Brain parenchymal fraction was calculated from 3D MRI scans, and fibre-specific measures were calculated from diffusion MRI using multi-tissue constrained spherical deconvolution. At each study visit, patients underwent optical coherence tomography to determine retinal nerve fibre layer thickness, and standard neurological assessment expanded the disability status scale. We found a significant annual fibre-specific neuro-axonal degeneration (mean ± SD = −3.49 ± 3.32%, P < 0.001) that was ∼7 times larger than the annual change of brain parenchymal fraction (−0.53 ± 0.95%, P < 0.001), and more than four times larger than annual retinal nerve fibre layer thinning (−0.75 ± 2.50% P = 0.036). Only fibre-specific measures showed a significant difference in annual degeneration between the disease stages (P = 0.029). Reduced brain parenchymal fraction, retinal nerve fibre layer thickness and fibre-specific measures were moderately related to higher expanded disability status scale (rho = −0.368, rho = −0.408 and rho = −0.365, respectively). Fibre-specific measures can be measured from data collected within a standard radiological multiple sclerosis study and are substantially more sensitive to longitudinal change compared with brain atrophy and retinal nerve fibre layer thinning. Oxford University Press 2022-03-17 /pmc/articles/PMC9006042/ /pubmed/35425898 http://dx.doi.org/10.1093/braincomms/fcac065 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the Guarantors of Brain. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Boonstra, Frederique M.
Clough, Meaghan
Strik, Myrte
van der Walt, Anneke
Butzkueven, Helmut
White, Owen B.
Law, Meng
Fielding, Joanne
Kolbe, Scott C.
Longitudinal tracking of axonal loss using diffusion magnetic resonance imaging in multiple sclerosis
title Longitudinal tracking of axonal loss using diffusion magnetic resonance imaging in multiple sclerosis
title_full Longitudinal tracking of axonal loss using diffusion magnetic resonance imaging in multiple sclerosis
title_fullStr Longitudinal tracking of axonal loss using diffusion magnetic resonance imaging in multiple sclerosis
title_full_unstemmed Longitudinal tracking of axonal loss using diffusion magnetic resonance imaging in multiple sclerosis
title_short Longitudinal tracking of axonal loss using diffusion magnetic resonance imaging in multiple sclerosis
title_sort longitudinal tracking of axonal loss using diffusion magnetic resonance imaging in multiple sclerosis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9006042/
https://www.ncbi.nlm.nih.gov/pubmed/35425898
http://dx.doi.org/10.1093/braincomms/fcac065
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