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Voxel-based analysis of grey and white matter degeneration in cervical spondylotic myelopathy

In this prospective study, we made an unbiased voxel-based analysis to investigate above-stenosis spinal degeneration and its relation to impairment in patients with cervical spondylotic myelopathy (CSM). Twenty patients and 18 controls were assessed with high-resolution MRI protocols above the leve...

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Autores principales: Grabher, Patrick, Mohammadi, Siawoosh, Trachsler, Aaron, Friedl, Susanne, David, Gergely, Sutter, Reto, Weiskopf, Nikolaus, Thompson, Alan J., Curt, Armin, Freund, Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4837346/
https://www.ncbi.nlm.nih.gov/pubmed/27095134
http://dx.doi.org/10.1038/srep24636
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author Grabher, Patrick
Mohammadi, Siawoosh
Trachsler, Aaron
Friedl, Susanne
David, Gergely
Sutter, Reto
Weiskopf, Nikolaus
Thompson, Alan J.
Curt, Armin
Freund, Patrick
author_facet Grabher, Patrick
Mohammadi, Siawoosh
Trachsler, Aaron
Friedl, Susanne
David, Gergely
Sutter, Reto
Weiskopf, Nikolaus
Thompson, Alan J.
Curt, Armin
Freund, Patrick
author_sort Grabher, Patrick
collection PubMed
description In this prospective study, we made an unbiased voxel-based analysis to investigate above-stenosis spinal degeneration and its relation to impairment in patients with cervical spondylotic myelopathy (CSM). Twenty patients and 18 controls were assessed with high-resolution MRI protocols above the level of stenosis. Cross-sectional areas of grey matter (GM), white matter (WM), and posterior columns (PC) were measured to determine atrophy. Diffusion indices assessed tract-specific integrity of PC and lateral corticospinal tracts (CST). Regression analysis was used to reveal relationships between MRI measures and clinical impairment. Patients showed mainly sensory impairment. Atrophy was prominent within the cervical WM (13.9%, p = 0.004), GM (7.2%, p = 0.043), and PC (16.1%, p = 0.005). Fractional anisotropy (FA) was reduced in the PC (−11.98%, p = 0.006) and lateral CST (−12.96%, p = 0.014). In addition, radial (+28.47%, p = 0.014), axial (+14.72%, p = 0.005), and mean (+16.50%, p = 0.001) diffusivities were increased in the PC. Light-touch score was associated with atrophy (R(2) = 0.3559, p = 0.020) and FA (z score 3.74, p = 0.003) in the PC, as was functional independence and FA in the lateral CST (z score 3.68, p = 0.020). This study demonstrates voxel-based degeneration far above the stenosis at a level not directly affected by the compression and provides unbiased readouts of tract-specific changes that relate to impairment.
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spelling pubmed-48373462016-04-27 Voxel-based analysis of grey and white matter degeneration in cervical spondylotic myelopathy Grabher, Patrick Mohammadi, Siawoosh Trachsler, Aaron Friedl, Susanne David, Gergely Sutter, Reto Weiskopf, Nikolaus Thompson, Alan J. Curt, Armin Freund, Patrick Sci Rep Article In this prospective study, we made an unbiased voxel-based analysis to investigate above-stenosis spinal degeneration and its relation to impairment in patients with cervical spondylotic myelopathy (CSM). Twenty patients and 18 controls were assessed with high-resolution MRI protocols above the level of stenosis. Cross-sectional areas of grey matter (GM), white matter (WM), and posterior columns (PC) were measured to determine atrophy. Diffusion indices assessed tract-specific integrity of PC and lateral corticospinal tracts (CST). Regression analysis was used to reveal relationships between MRI measures and clinical impairment. Patients showed mainly sensory impairment. Atrophy was prominent within the cervical WM (13.9%, p = 0.004), GM (7.2%, p = 0.043), and PC (16.1%, p = 0.005). Fractional anisotropy (FA) was reduced in the PC (−11.98%, p = 0.006) and lateral CST (−12.96%, p = 0.014). In addition, radial (+28.47%, p = 0.014), axial (+14.72%, p = 0.005), and mean (+16.50%, p = 0.001) diffusivities were increased in the PC. Light-touch score was associated with atrophy (R(2) = 0.3559, p = 0.020) and FA (z score 3.74, p = 0.003) in the PC, as was functional independence and FA in the lateral CST (z score 3.68, p = 0.020). This study demonstrates voxel-based degeneration far above the stenosis at a level not directly affected by the compression and provides unbiased readouts of tract-specific changes that relate to impairment. Nature Publishing Group 2016-04-20 /pmc/articles/PMC4837346/ /pubmed/27095134 http://dx.doi.org/10.1038/srep24636 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Grabher, Patrick
Mohammadi, Siawoosh
Trachsler, Aaron
Friedl, Susanne
David, Gergely
Sutter, Reto
Weiskopf, Nikolaus
Thompson, Alan J.
Curt, Armin
Freund, Patrick
Voxel-based analysis of grey and white matter degeneration in cervical spondylotic myelopathy
title Voxel-based analysis of grey and white matter degeneration in cervical spondylotic myelopathy
title_full Voxel-based analysis of grey and white matter degeneration in cervical spondylotic myelopathy
title_fullStr Voxel-based analysis of grey and white matter degeneration in cervical spondylotic myelopathy
title_full_unstemmed Voxel-based analysis of grey and white matter degeneration in cervical spondylotic myelopathy
title_short Voxel-based analysis of grey and white matter degeneration in cervical spondylotic myelopathy
title_sort voxel-based analysis of grey and white matter degeneration in cervical spondylotic myelopathy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4837346/
https://www.ncbi.nlm.nih.gov/pubmed/27095134
http://dx.doi.org/10.1038/srep24636
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