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Statistical morphological analysis reveals characteristic paraspinal muscle asymmetry in unilateral lumbar disc herniation
Growing evidence suggests an association of lumbar paraspinal muscle morphology with low back pain (LBP) and lumbar pathologies. Unilateral spinal disorders provide unique models to study this association, with implications for diagnosis, prognosis, and management. Statistical shape analysis is a te...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8329062/ https://www.ncbi.nlm.nih.gov/pubmed/34341427 http://dx.doi.org/10.1038/s41598-021-95149-6 |
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author | Xiao, Yiming Fortin, Maryse Ahn, Joshua Rivaz, Hassan Peters, Terry M. Battié, Michele C. |
author_facet | Xiao, Yiming Fortin, Maryse Ahn, Joshua Rivaz, Hassan Peters, Terry M. Battié, Michele C. |
author_sort | Xiao, Yiming |
collection | PubMed |
description | Growing evidence suggests an association of lumbar paraspinal muscle morphology with low back pain (LBP) and lumbar pathologies. Unilateral spinal disorders provide unique models to study this association, with implications for diagnosis, prognosis, and management. Statistical shape analysis is a technique that can identify signature shape variations related to phenotypes but has never been employed in studying paraspinal muscle morphology. We present the first investigation using this technique to reveal disease-related paraspinal muscle asymmetry, using MRIs of patients with a single posterolateral disc herniation at the L5-S1 spinal level and unilateral leg pain. Statistical shape analysis was conducted to reveal disease- and phenotype-related morphological variations in the multifidus and erector spinae muscles at the level of herniation and the one below. With the analysis, shape variations associated with disc herniation were identified in the multifidus on the painful side at the level below the pathology while no pathology-related asymmetry in cross-sectional area (CSA) and fatty infiltration was found in either muscle. The results demonstrate higher sensitivity and spatial specificity for the technique than typical CSA and fatty infiltration measures. Statistical shape analysis holds promise in studying paraspinal muscle morphology to improve our understanding of LBP and various lumbar pathologies. |
format | Online Article Text |
id | pubmed-8329062 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-83290622021-08-03 Statistical morphological analysis reveals characteristic paraspinal muscle asymmetry in unilateral lumbar disc herniation Xiao, Yiming Fortin, Maryse Ahn, Joshua Rivaz, Hassan Peters, Terry M. Battié, Michele C. Sci Rep Article Growing evidence suggests an association of lumbar paraspinal muscle morphology with low back pain (LBP) and lumbar pathologies. Unilateral spinal disorders provide unique models to study this association, with implications for diagnosis, prognosis, and management. Statistical shape analysis is a technique that can identify signature shape variations related to phenotypes but has never been employed in studying paraspinal muscle morphology. We present the first investigation using this technique to reveal disease-related paraspinal muscle asymmetry, using MRIs of patients with a single posterolateral disc herniation at the L5-S1 spinal level and unilateral leg pain. Statistical shape analysis was conducted to reveal disease- and phenotype-related morphological variations in the multifidus and erector spinae muscles at the level of herniation and the one below. With the analysis, shape variations associated with disc herniation were identified in the multifidus on the painful side at the level below the pathology while no pathology-related asymmetry in cross-sectional area (CSA) and fatty infiltration was found in either muscle. The results demonstrate higher sensitivity and spatial specificity for the technique than typical CSA and fatty infiltration measures. Statistical shape analysis holds promise in studying paraspinal muscle morphology to improve our understanding of LBP and various lumbar pathologies. Nature Publishing Group UK 2021-08-02 /pmc/articles/PMC8329062/ /pubmed/34341427 http://dx.doi.org/10.1038/s41598-021-95149-6 Text en © The Author(s) 2021 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 | Article Xiao, Yiming Fortin, Maryse Ahn, Joshua Rivaz, Hassan Peters, Terry M. Battié, Michele C. Statistical morphological analysis reveals characteristic paraspinal muscle asymmetry in unilateral lumbar disc herniation |
title | Statistical morphological analysis reveals characteristic paraspinal muscle asymmetry in unilateral lumbar disc herniation |
title_full | Statistical morphological analysis reveals characteristic paraspinal muscle asymmetry in unilateral lumbar disc herniation |
title_fullStr | Statistical morphological analysis reveals characteristic paraspinal muscle asymmetry in unilateral lumbar disc herniation |
title_full_unstemmed | Statistical morphological analysis reveals characteristic paraspinal muscle asymmetry in unilateral lumbar disc herniation |
title_short | Statistical morphological analysis reveals characteristic paraspinal muscle asymmetry in unilateral lumbar disc herniation |
title_sort | statistical morphological analysis reveals characteristic paraspinal muscle asymmetry in unilateral lumbar disc herniation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8329062/ https://www.ncbi.nlm.nih.gov/pubmed/34341427 http://dx.doi.org/10.1038/s41598-021-95149-6 |
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