Evaluation of neck muscle size: long-term reliability and comparison of methods


Autoria(s): Belavý, D.L.; Miokovic, T.; Armbrecht, G.; Felsenberg, D.
Data(s)

01/01/2015

Resumo

Although it is important for prospective studies, the reliability of quantitative measures of cervical muscle size on magnetic resonance imaging is not well established. The aim of the current work was to assess the long-term reliability of measurements of cervical muscle size. In addition, we examined the utility of selecting specific sub-regions of muscles at each vertebral level, averaging between sides of the body, and pooling muscles into larger groups. Axial scans from the base of skull to the third thoracic vertebra were performed in 20 healthy male subjects at baseline and 1.5 years later. We evaluated the semi-spinalis capitis, splenius capitis, spinalis cervicis, longus capitis, longus colli, levator scapulae, sternocleidomastoid, anterior scalenes and middle with posterior scalenes. Bland-Altman analysis showed all measurements to be repeatable between testing-days. Reliability was typically best when entire muscle volume was measured (co-efficients of variation (CVs): 3.3-8.1% depending on muscle). However, when the size of the muscle was assessed at specific vertebral levels, similar measurement precision was achieved (CVs: 2.7-7.6%). A median of 4-6 images were measured at the specific vertebral levels versus 18-37 images for entire muscle volume. This would represent considerable time saving. Based on the findings we also recommend measuring both sides of the body and calculating an average value. Pooling specific muscles into the deep neck flexors (CV: 3.5%) and neck extensors (CV: 2.7%) can serve to reduce variability further. The results of the current study help to establish outcome measures for interventional studies and for sample size estimation.

Identificador

http://hdl.handle.net/10536/DRO/DU:30076270

Idioma(s)

eng

Publicador

IOP Press

Relação

http://dro.deakin.edu.au/eserv/DU:30076270/belavy-evaluationofneck-2015.pdf

http://www.dx.doi.org/10.1088/0967-3334/36/3/503

http://www.ncbi.nlm.nih.gov/pubmed/25679791

Direitos

2015, Institute of Physics and Engineering in Medicine

Palavras-Chave #cross-sectional area #intra-class correlation coefficient #precision #Science & Technology #Life Sciences & Biomedicine #Technology #Biophysics #Engineering, Biomedical #Physiology #Engineering #BED-REST #AGREEMENT #HEADACHE
Tipo

Journal Article