Cervical muscle volume in individuals with idiopathic neck pain compared to asymptomatic controls: A cross-sectional magnetic resonance imaging study.


Journal

Musculoskeletal science & practice
ISSN: 2468-7812
Titre abrégé: Musculoskelet Sci Pract
Pays: Netherlands
ID NLM: 101692753

Informations de publication

Date de publication:
12 2019
Historique:
received: 20 03 2019
revised: 02 08 2019
accepted: 13 08 2019
pubmed: 28 8 2019
medline: 23 6 2020
entrez: 28 8 2019
Statut: ppublish

Résumé

Neck muscle compositional changes may represent potential biomarkers contributing towards chronic neck-related pain and disability. To determine differences in muscle volume in the cervical muscles of individuals with chronic idiopathic neck pain compared with age- and sex-matched asymptomatic individuals, and to determine if these muscle variables relate to spinal level, side (left or right), age, sex, body mass index (BMI) or muscle strength. Cross-sectional magnetic resonance imaging (MRI) study. Muscle volume of five muscle (groups) from cervical levels C3-T1 in 20 pain and 17 asymptomatic participants were quantified using MRI: levator scapulae, multifidus including semispinalis cervicis, semispinalis, splenius capitus including splenius cervicis, and sternocleidomastoid. Isometric extensor and flexor muscle strength were assessed with a dynamometer. Linear mixed modelling determined differences between groups in muscle volume accounting for participant characteristics. Individuals with pain had greater muscle volume (adjusted mean difference 71.2 mm Between-group differences in cervical flexor muscle volume, and volume differences across spinal levels and muscles suggest the contribution of cervical muscles to chronic idiopathic neck pain is multifaceted and complex.

Sections du résumé

BACKGROUND
Neck muscle compositional changes may represent potential biomarkers contributing towards chronic neck-related pain and disability.
OBJECTIVES
To determine differences in muscle volume in the cervical muscles of individuals with chronic idiopathic neck pain compared with age- and sex-matched asymptomatic individuals, and to determine if these muscle variables relate to spinal level, side (left or right), age, sex, body mass index (BMI) or muscle strength.
STUDY DESIGN
Cross-sectional magnetic resonance imaging (MRI) study.
METHODS
Muscle volume of five muscle (groups) from cervical levels C3-T1 in 20 pain and 17 asymptomatic participants were quantified using MRI: levator scapulae, multifidus including semispinalis cervicis, semispinalis, splenius capitus including splenius cervicis, and sternocleidomastoid. Isometric extensor and flexor muscle strength were assessed with a dynamometer. Linear mixed modelling determined differences between groups in muscle volume accounting for participant characteristics.
RESULTS
Individuals with pain had greater muscle volume (adjusted mean difference 71.2 mm
CONCLUSION
Between-group differences in cervical flexor muscle volume, and volume differences across spinal levels and muscles suggest the contribution of cervical muscles to chronic idiopathic neck pain is multifaceted and complex.

Identifiants

pubmed: 31451399
pii: S2468-7812(19)30130-4
doi: 10.1016/j.msksp.2019.102050
pii:
doi:

Types de publication

Journal Article Observational Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

102050

Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

Auteurs

Suzanne J Snodgrass (SJ)

School of Health Sciences, The University of Newcastle, University Drive, Callaghan, 2308, Australia. Electronic address: Suzanne.Snodgrass@newcastle.edu.au.

Christopher Croker (C)

School of Health Sciences, The University of Newcastle, University Drive, Callaghan, 2308, Australia. Electronic address: Christopher.Croker@uon.edu.au.

Meghana Yerrapothu (M)

Feinberg School of Medicine, Northwestern University, Chicago, IL, USA. Electronic address: myerr95@gmail.com.

Samala Shepherd (S)

School of Health Sciences, The University of Newcastle, University Drive, Callaghan, 2308, Australia. Electronic address: Samala.Shepherd@uon.edu.au.

Peter Stanwell (P)

School of Health Sciences, The University of Newcastle, University Drive, Callaghan, 2308, Australia. Electronic address: Peter.Stanwell@newcastle.edu.au.

Carl Holder (C)

Clinical Research Design, IT and Statistical Support (CReDITSS), Hunter Medical Research Institute, New Lambton Heights, Australia. Electronic address: Carl.Holder@hmri.org.

Chris Oldmeadow (C)

Clinical Research Design, IT and Statistical Support (CReDITSS), Hunter Medical Research Institute, New Lambton Heights, Australia. Electronic address: Christopher.Oldmeadow@hmri.org.

James Elliott (J)

Northern Sydney Local Health District & Faculty of Health Sciences, The University of Sydney Australia, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA. Electronic address: Jim.Elliott@sydney.edu.au.

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Classifications MeSH