Cargando…

Correlation between Body Composition and Inter-Examiner Errors for Assessing Lumbar Multifidus Muscle Size, Shape and Quality Metrics with Ultrasound Imaging

Ultrasound imaging (US) is widely used in several healthcare disciplines (including physiotherapy) for assessing multiple muscle metrics such as muscle morphology and quality. Since measuring instruments are required to demonstrate their reliability, accuracy, sensitivity, and specificity prior to t...

Descripción completa

Detalles Bibliográficos
Autores principales: Varol, Umut, Sánchez-Jiménez, Elena, Leloup, Emma Alyette Adélaïde, Navarro-Santana, Marcos José, Fernández-de-las-Peñas, César, Sánchez-Jorge, Sandra, Valera-Calero, Juan Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9952113/
https://www.ncbi.nlm.nih.gov/pubmed/36829627
http://dx.doi.org/10.3390/bioengineering10020133
_version_ 1784893549765984256
author Varol, Umut
Sánchez-Jiménez, Elena
Leloup, Emma Alyette Adélaïde
Navarro-Santana, Marcos José
Fernández-de-las-Peñas, César
Sánchez-Jorge, Sandra
Valera-Calero, Juan Antonio
author_facet Varol, Umut
Sánchez-Jiménez, Elena
Leloup, Emma Alyette Adélaïde
Navarro-Santana, Marcos José
Fernández-de-las-Peñas, César
Sánchez-Jorge, Sandra
Valera-Calero, Juan Antonio
author_sort Varol, Umut
collection PubMed
description Ultrasound imaging (US) is widely used in several healthcare disciplines (including physiotherapy) for assessing multiple muscle metrics such as muscle morphology and quality. Since measuring instruments are required to demonstrate their reliability, accuracy, sensitivity, and specificity prior to their use in clinical and research settings, identifying factors affecting their diagnostic accuracy is essential. Since previous studies analyzed the impact of sociodemographic but not body composition characteristics in US errors, this study aimed to assess whether body composition metrics are correlated with ultrasound measurement errors. B-mode images of the lumbar multifidus muscle at the fifth lumbar vertebral level (L5) were acquired and analyzed in 49 healthy volunteers by two examiners (one experienced and one novel). Cross-sectional area, muscle perimeter and mean echo intensity were calculated bilaterally. A multivariate correlation matrix was calculated for assessing the inter-examiner differences with body composition metrics. Results demonstrated excellent reliability (intraclass correlation coefficient, ICC > 0.9) for assessing the muscle cross-sectional area and perimeter, and good reliability for assessing the muscle shape and mean echo intensity (ICC > 0.7). Inter-examiner errors for estimating muscle size were correlated with participants’ age (p value, p < 0.01), weight (p < 0.05), total and trunk lean mass (both, p < 0.01) and water volume (p < 0.05). Greater shape descriptors and mean brightness disagreements were correlated with older ages (p < 0.05) and total lean mass (p < 0.05). No correlations between age and body composition metrics were found (p > 0.05). This study found US to be a reliable tool for assessing muscle size, shape and mean brightness. Although aging showed no correlations with body composition changes in this sample, it was the main factor correlated with US measurement errors.
format Online
Article
Text
id pubmed-9952113
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-99521132023-02-25 Correlation between Body Composition and Inter-Examiner Errors for Assessing Lumbar Multifidus Muscle Size, Shape and Quality Metrics with Ultrasound Imaging Varol, Umut Sánchez-Jiménez, Elena Leloup, Emma Alyette Adélaïde Navarro-Santana, Marcos José Fernández-de-las-Peñas, César Sánchez-Jorge, Sandra Valera-Calero, Juan Antonio Bioengineering (Basel) Article Ultrasound imaging (US) is widely used in several healthcare disciplines (including physiotherapy) for assessing multiple muscle metrics such as muscle morphology and quality. Since measuring instruments are required to demonstrate their reliability, accuracy, sensitivity, and specificity prior to their use in clinical and research settings, identifying factors affecting their diagnostic accuracy is essential. Since previous studies analyzed the impact of sociodemographic but not body composition characteristics in US errors, this study aimed to assess whether body composition metrics are correlated with ultrasound measurement errors. B-mode images of the lumbar multifidus muscle at the fifth lumbar vertebral level (L5) were acquired and analyzed in 49 healthy volunteers by two examiners (one experienced and one novel). Cross-sectional area, muscle perimeter and mean echo intensity were calculated bilaterally. A multivariate correlation matrix was calculated for assessing the inter-examiner differences with body composition metrics. Results demonstrated excellent reliability (intraclass correlation coefficient, ICC > 0.9) for assessing the muscle cross-sectional area and perimeter, and good reliability for assessing the muscle shape and mean echo intensity (ICC > 0.7). Inter-examiner errors for estimating muscle size were correlated with participants’ age (p value, p < 0.01), weight (p < 0.05), total and trunk lean mass (both, p < 0.01) and water volume (p < 0.05). Greater shape descriptors and mean brightness disagreements were correlated with older ages (p < 0.05) and total lean mass (p < 0.05). No correlations between age and body composition metrics were found (p > 0.05). This study found US to be a reliable tool for assessing muscle size, shape and mean brightness. Although aging showed no correlations with body composition changes in this sample, it was the main factor correlated with US measurement errors. MDPI 2023-01-18 /pmc/articles/PMC9952113/ /pubmed/36829627 http://dx.doi.org/10.3390/bioengineering10020133 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Varol, Umut
Sánchez-Jiménez, Elena
Leloup, Emma Alyette Adélaïde
Navarro-Santana, Marcos José
Fernández-de-las-Peñas, César
Sánchez-Jorge, Sandra
Valera-Calero, Juan Antonio
Correlation between Body Composition and Inter-Examiner Errors for Assessing Lumbar Multifidus Muscle Size, Shape and Quality Metrics with Ultrasound Imaging
title Correlation between Body Composition and Inter-Examiner Errors for Assessing Lumbar Multifidus Muscle Size, Shape and Quality Metrics with Ultrasound Imaging
title_full Correlation between Body Composition and Inter-Examiner Errors for Assessing Lumbar Multifidus Muscle Size, Shape and Quality Metrics with Ultrasound Imaging
title_fullStr Correlation between Body Composition and Inter-Examiner Errors for Assessing Lumbar Multifidus Muscle Size, Shape and Quality Metrics with Ultrasound Imaging
title_full_unstemmed Correlation between Body Composition and Inter-Examiner Errors for Assessing Lumbar Multifidus Muscle Size, Shape and Quality Metrics with Ultrasound Imaging
title_short Correlation between Body Composition and Inter-Examiner Errors for Assessing Lumbar Multifidus Muscle Size, Shape and Quality Metrics with Ultrasound Imaging
title_sort correlation between body composition and inter-examiner errors for assessing lumbar multifidus muscle size, shape and quality metrics with ultrasound imaging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9952113/
https://www.ncbi.nlm.nih.gov/pubmed/36829627
http://dx.doi.org/10.3390/bioengineering10020133
work_keys_str_mv AT varolumut correlationbetweenbodycompositionandinterexaminererrorsforassessinglumbarmultifidusmusclesizeshapeandqualitymetricswithultrasoundimaging
AT sanchezjimenezelena correlationbetweenbodycompositionandinterexaminererrorsforassessinglumbarmultifidusmusclesizeshapeandqualitymetricswithultrasoundimaging
AT leloupemmaalyetteadelaide correlationbetweenbodycompositionandinterexaminererrorsforassessinglumbarmultifidusmusclesizeshapeandqualitymetricswithultrasoundimaging
AT navarrosantanamarcosjose correlationbetweenbodycompositionandinterexaminererrorsforassessinglumbarmultifidusmusclesizeshapeandqualitymetricswithultrasoundimaging
AT fernandezdelaspenascesar correlationbetweenbodycompositionandinterexaminererrorsforassessinglumbarmultifidusmusclesizeshapeandqualitymetricswithultrasoundimaging
AT sanchezjorgesandra correlationbetweenbodycompositionandinterexaminererrorsforassessinglumbarmultifidusmusclesizeshapeandqualitymetricswithultrasoundimaging
AT valeracalerojuanantonio correlationbetweenbodycompositionandinterexaminererrorsforassessinglumbarmultifidusmusclesizeshapeandqualitymetricswithultrasoundimaging