Cargando…
Systematic review of quantitative imaging biomarkers for neck and shoulder musculoskeletal disorders
BACKGROUND: This study systematically summarizes quantitative imaging biomarker research in non-traumatic neck and shoulder musculoskeletal disorders (MSDs). There were two research questions: 1) Are there quantitative imaging biomarkers associated with the presence of neck and shoulder MSDs?, 2) Ar...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5596923/ https://www.ncbi.nlm.nih.gov/pubmed/28899384 http://dx.doi.org/10.1186/s12891-017-1694-y |
_version_ | 1783263622361776128 |
---|---|
author | Gold, Judith E. Hallman, David M. Hellström, Fredrik Björklund, Martin Crenshaw, Albert G. Mathiassen, Svend Erik Barbe, Mary F. Ali, Sayed |
author_facet | Gold, Judith E. Hallman, David M. Hellström, Fredrik Björklund, Martin Crenshaw, Albert G. Mathiassen, Svend Erik Barbe, Mary F. Ali, Sayed |
author_sort | Gold, Judith E. |
collection | PubMed |
description | BACKGROUND: This study systematically summarizes quantitative imaging biomarker research in non-traumatic neck and shoulder musculoskeletal disorders (MSDs). There were two research questions: 1) Are there quantitative imaging biomarkers associated with the presence of neck and shoulder MSDs?, 2) Are there quantitative imaging biomarkers associated with the severity of neck and shoulder MSDs? METHODS: PubMed and SCOPUS were used for the literature search. One hundred and twenty-five studies met primary inclusion criteria. Data were extracted from 49 sufficient quality studies. RESULTS: Most of the 125 studies were cross-sectional and utilized convenience samples of patients as both cases and controls. Only half controlled for potential confounders via exclusion or in the analysis. Approximately one-third reported response rates. In sufficient quality articles, 82% demonstrated at least one statistically significant association between the MSD(s) and biomarker(s) studied. The literature synthesis suggested that neck muscle size may be decreased in neck pain, and trapezius myalgia and neck/shoulder pain may be associated with reduced vascularity in the trapezius and reduced trapezius oxygen saturation at rest and in response to upper extremity tasks. Reduced vascularity in the supraspinatus tendon may also be a feature in rotator cuff tears. Five of eight studies showed an association between a quantitative imaging marker and MSD severity. CONCLUSIONS: Although research on quantitative imaging biomarkers is still in a nascent stage, some MSD biomarkers were identified. There are limitations in the articles examined, including possible selection bias and inattention to potentially confounding factors. Recommendations for future studies are provided. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12891-017-1694-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5596923 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55969232017-09-15 Systematic review of quantitative imaging biomarkers for neck and shoulder musculoskeletal disorders Gold, Judith E. Hallman, David M. Hellström, Fredrik Björklund, Martin Crenshaw, Albert G. Mathiassen, Svend Erik Barbe, Mary F. Ali, Sayed BMC Musculoskelet Disord Research Article BACKGROUND: This study systematically summarizes quantitative imaging biomarker research in non-traumatic neck and shoulder musculoskeletal disorders (MSDs). There were two research questions: 1) Are there quantitative imaging biomarkers associated with the presence of neck and shoulder MSDs?, 2) Are there quantitative imaging biomarkers associated with the severity of neck and shoulder MSDs? METHODS: PubMed and SCOPUS were used for the literature search. One hundred and twenty-five studies met primary inclusion criteria. Data were extracted from 49 sufficient quality studies. RESULTS: Most of the 125 studies were cross-sectional and utilized convenience samples of patients as both cases and controls. Only half controlled for potential confounders via exclusion or in the analysis. Approximately one-third reported response rates. In sufficient quality articles, 82% demonstrated at least one statistically significant association between the MSD(s) and biomarker(s) studied. The literature synthesis suggested that neck muscle size may be decreased in neck pain, and trapezius myalgia and neck/shoulder pain may be associated with reduced vascularity in the trapezius and reduced trapezius oxygen saturation at rest and in response to upper extremity tasks. Reduced vascularity in the supraspinatus tendon may also be a feature in rotator cuff tears. Five of eight studies showed an association between a quantitative imaging marker and MSD severity. CONCLUSIONS: Although research on quantitative imaging biomarkers is still in a nascent stage, some MSD biomarkers were identified. There are limitations in the articles examined, including possible selection bias and inattention to potentially confounding factors. Recommendations for future studies are provided. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12891-017-1694-y) contains supplementary material, which is available to authorized users. BioMed Central 2017-09-12 /pmc/articles/PMC5596923/ /pubmed/28899384 http://dx.doi.org/10.1186/s12891-017-1694-y Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Gold, Judith E. Hallman, David M. Hellström, Fredrik Björklund, Martin Crenshaw, Albert G. Mathiassen, Svend Erik Barbe, Mary F. Ali, Sayed Systematic review of quantitative imaging biomarkers for neck and shoulder musculoskeletal disorders |
title | Systematic review of quantitative imaging biomarkers for neck and shoulder musculoskeletal disorders |
title_full | Systematic review of quantitative imaging biomarkers for neck and shoulder musculoskeletal disorders |
title_fullStr | Systematic review of quantitative imaging biomarkers for neck and shoulder musculoskeletal disorders |
title_full_unstemmed | Systematic review of quantitative imaging biomarkers for neck and shoulder musculoskeletal disorders |
title_short | Systematic review of quantitative imaging biomarkers for neck and shoulder musculoskeletal disorders |
title_sort | systematic review of quantitative imaging biomarkers for neck and shoulder musculoskeletal disorders |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5596923/ https://www.ncbi.nlm.nih.gov/pubmed/28899384 http://dx.doi.org/10.1186/s12891-017-1694-y |
work_keys_str_mv | AT goldjudithe systematicreviewofquantitativeimagingbiomarkersforneckandshouldermusculoskeletaldisorders AT hallmandavidm systematicreviewofquantitativeimagingbiomarkersforneckandshouldermusculoskeletaldisorders AT hellstromfredrik systematicreviewofquantitativeimagingbiomarkersforneckandshouldermusculoskeletaldisorders AT bjorklundmartin systematicreviewofquantitativeimagingbiomarkersforneckandshouldermusculoskeletaldisorders AT crenshawalbertg systematicreviewofquantitativeimagingbiomarkersforneckandshouldermusculoskeletaldisorders AT mathiassensvenderik systematicreviewofquantitativeimagingbiomarkersforneckandshouldermusculoskeletaldisorders AT barbemaryf systematicreviewofquantitativeimagingbiomarkersforneckandshouldermusculoskeletaldisorders AT alisayed systematicreviewofquantitativeimagingbiomarkersforneckandshouldermusculoskeletaldisorders |