Literature DB >> 28756299

Are the size and composition of the paraspinal muscles associated with low back pain? A systematic review.

Tom A Ranger1, Flavia M Cicuttini2, Tue S Jensen3, Waruna L Peiris2, Sultana Monira Hussain2, Jessica Fairley2, Donna M Urquhart2.   

Abstract

BACKGROUND CONTEXT: Although previous studies have investigated the association between paraspinal muscle morphology and low back pain (LBP), the results are conflicting.
PURPOSE: This systematic review examined the relationship between size and composition of the paraspinal muscles and LBP. STUDY DESIGN/
SETTING: A systematic review was carried out. PATIENT SAMPLE: No patient sample was required. OUTCOME MEASURES: This review had no outcome measures.
METHODS: A systematic search of electronic databases was conducted to identify studies investigating the association between the cross-sectional area or fatty infiltration of the paraspinal muscles (erector spinae, multifidus, psoas, and quadratus lumborum) and LBP. Descriptive data regarding study design and methodology were tabulated and a risk of bias assessment was performed.
RESULTS: Of the 119 studies identified, 25 met the inclusion criteria. Eight studies were reported as having low to moderate risk of bias. There was evidence for a negative association between cross-sectional area (CSA) of multifidus and LBP, but conflicting evidence for a relationship between erector spinae, psoas, and quadratus lumborum CSA and LBP. Moreover, there was evidence to indicate multifidus CSA was predictive of LBP for up to 12 months in men, but insufficient evidence to indicate a relationship for longer time periods. Although there was conflicting evidence for a relationship between multifidus fat infiltration and LBP, there was no or limited evidence for an association for the other paraspinal musculature.
CONCLUSIONS: This review found evidence that multifidus CSA was negatively associated with and predictive of LBP up to 12 months but conflicting evidence for an association between erector spinae, psoas, and quadratus lumborum CSA and LBP. To further understand the role of the paraspinal musculature in LBP, there is a need for high-quality cohort studies which extend over both the short and longer term.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cross-sectional area; Fat infiltration; Low back pain; Morphology; Paraspinal muscles; Systematic review

Mesh:

Year:  2017        PMID: 28756299     DOI: 10.1016/j.spinee.2017.07.002

Source DB:  PubMed          Journal:  Spine J        ISSN: 1529-9430            Impact factor:   4.166


  46 in total

1.  Population-averaged MRI atlases for automated image processing and assessments of lumbar paraspinal muscles.

Authors:  Yiming Xiao; Maryse Fortin; Michele C Battié; Hassan Rivaz
Journal:  Eur Spine J       Date:  2018-07-26       Impact factor: 3.134

2.  Individuals With Recurrent Low Back Pain Exhibit Significant Changes in Paraspinal Muscle Strength After Intramuscular Fine Wire Electrode Insertion.

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3.  Correlation of texture analysis of paraspinal musculature on MRI with different clinical endpoints: Lumbar Stenosis Outcome Study (LSOS).

Authors:  Manoj Mannil; Jakob M Burgstaller; Ulrike Held; Mazda Farshad; Roman Guggenberger
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Authors:  Xiaojian Hu; Zhiyun Feng; Haotian Shen; Wenming Zhang; Jiawei Huang; Qiangqiang Zheng; Yue Wang
Journal:  Eur Spine J       Date:  2021-03-19       Impact factor: 3.134

6.  The structural, functional and electrophysiological assessment of paraspinal musculature of patients with ankylosing spondylitis and non-radiographic axial spondyloarthropathy.

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Authors:  Rebecca J Crawford; Maryse Fortin; Kenneth A Weber; Andrew Smith; James M Elliott
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8.  [Progress on the evaluation method of paraspinal muscle and its correlation with lumbar diseases].

Authors:  Wei Wang; Weishi Li; Zhongqiang Chen
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9.  Reconnecting the Brain With the Rest of the Body in Musculoskeletal Pain Research.

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10.  Association of thigh and paraspinal muscle composition in young adults using chemical shift encoding-based water-fat MRI.

Authors:  Egon Burian; Stephanie Inhuber; Sarah Schlaeger; Michael Dieckmeyer; Elisabeth Klupp; Daniela Franz; Dominik Weidlich; Nico Sollmann; Maximilian Löffler; Ansgar Schwirtz; Ernst J Rummeny; Claus Zimmer; Jan S Kirschke; Dimitrios C Karampinos; Thomas Baum
Journal:  Quant Imaging Med Surg       Date:  2020-01
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