Ultrasound measures of muscle thickness and subcutaneous tissue from the hip abductors: Inter- and intra-rater reliability.


Journal

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

Informations de publication

Date de publication:
Dec 2022
Historique:
received: 20 03 2022
revised: 11 06 2022
accepted: 18 06 2022
pubmed: 7 7 2022
medline: 15 12 2022
entrez: 6 7 2022
Statut: ppublish

Résumé

Ultrasound imaging is important in many fields such as medicine, sports, and health sciences to assess parts of muscle structure (e.g., muscle thickness [MT]) or composition (subcutaneous tissue [Sub The aim of the present study was to investigate the intra- and inter-rater reliability of MT and Sub Cross-sectional study. Twenty young adults participated in the study. Intra-rater reliability was established by measuring the same two images twice by the same rater, while inter-rater reliability was assessed between two raters by measuring the same two images for each muscle. For both intra- and inter-rater reliability, the reliability of the TFL and GM outcomes (MT- Sub For intra-rater reliability, variables of both muscles showed an excellent ICC (≥0.90), lower CV and SEM, and bias near zero. Inter-rater reliability also showed an excellent ICC for both variables and muscles (≥0.81) with lower CV, SEM, and bias. Therefore, these results provide strong evidence of a reliable measure of MT and Sub

Sections du résumé

BACKGROUND BACKGROUND
Ultrasound imaging is important in many fields such as medicine, sports, and health sciences to assess parts of muscle structure (e.g., muscle thickness [MT]) or composition (subcutaneous tissue [Sub
OBJECTIVE OBJECTIVE
The aim of the present study was to investigate the intra- and inter-rater reliability of MT and Sub
DESIGN METHODS
Cross-sectional study.
METHOD METHODS
Twenty young adults participated in the study. Intra-rater reliability was established by measuring the same two images twice by the same rater, while inter-rater reliability was assessed between two raters by measuring the same two images for each muscle. For both intra- and inter-rater reliability, the reliability of the TFL and GM outcomes (MT- Sub
RESULTS RESULTS
For intra-rater reliability, variables of both muscles showed an excellent ICC (≥0.90), lower CV and SEM, and bias near zero. Inter-rater reliability also showed an excellent ICC for both variables and muscles (≥0.81) with lower CV, SEM, and bias.
CONCLUSION CONCLUSIONS
Therefore, these results provide strong evidence of a reliable measure of MT and Sub

Identifiants

pubmed: 35792333
pii: S2468-7812(22)00112-6
doi: 10.1016/j.msksp.2022.102612
pmc: PMC9742124
mid: NIHMS1823160
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102612

Subventions

Organisme : NIAMS NIH HHS
ID : T32 AR007592
Pays : United States

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest All the authors declare no conflicts of interest exist.

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Auteurs

Marcel Bahia Lanza (MB)

Department of Physical Therapy and Rehabilitation Science, University of Maryland School of Medicine, 100 Penn Street, Baltimore, MD, 21201-1082, United States. Electronic address: marcel.lanza@gmail.com.

Kelly Rock (K)

Department of Physical Therapy and Rehabilitation Science, University of Maryland School of Medicine, 100 Penn Street, Baltimore, MD, 21201-1082, United States.

Victoria Marchese (V)

Department of Physical Therapy and Rehabilitation Science, University of Maryland School of Medicine, 100 Penn Street, Baltimore, MD, 21201-1082, United States.

Vicki L Gray (VL)

Department of Physical Therapy and Rehabilitation Science, University of Maryland School of Medicine, 100 Penn Street, Baltimore, MD, 21201-1082, United States.

Odessa Addison (O)

Department of Physical Therapy and Rehabilitation Science, University of Maryland School of Medicine, 100 Penn Street, Baltimore, MD, 21201-1082, United States; Baltimore Geriatric Research, Education, and Clinical Center, VAHMC, Baltimore, MD, United States.

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Classifications MeSH