Inter-Examiner Disagreement for Assessing Cervical Multifidus Ultrasound Metrics Is Associated with Body Composition Features

Ultrasound imaging (US) is a biosensing technique that is widely used in several healthcare disciplines (including physiotherapy) for assessing multiple muscle metrics, such as muscle morphology and quality. Since all biosensors need to be tested in order to demonstrate their reliability, accuracy,...

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Main Authors: Umut Varol, Marcos José Navarro-Santana, Sonia Gómez-Sánchez, Gustavo Plaza-Manzano, Elena Sánchez-Jiménez, Juan Antonio Valera-Calero
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/3/1213
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author Umut Varol
Marcos José Navarro-Santana
Sonia Gómez-Sánchez
Gustavo Plaza-Manzano
Elena Sánchez-Jiménez
Juan Antonio Valera-Calero
author_facet Umut Varol
Marcos José Navarro-Santana
Sonia Gómez-Sánchez
Gustavo Plaza-Manzano
Elena Sánchez-Jiménez
Juan Antonio Valera-Calero
author_sort Umut Varol
collection DOAJ
description Ultrasound imaging (US) is a biosensing technique that is widely used in several healthcare disciplines (including physiotherapy) for assessing multiple muscle metrics, such as muscle morphology and quality. Since all biosensors need to be tested in order to demonstrate their reliability, accuracy, sensitivity, and specificity, identifying factors that affect 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 associated with ultrasound measurement errors. B-mode images of the lumbar multifidus muscle at the L5 level were acquired and analyzed in 47 healthy volunteers by two examiners (one experienced and one novice). The cross-sectional area, muscle perimeter, and mean echo intensity were calculated bilaterally. A correlation analysis and a multivariate linear regression model were used for assessing the inter-examiner differences with respect to body composition metrics. The results demonstrated good-to-excellent reliability estimates for the cross-sectional area, muscle perimeter, aspect ratio, roundness, circularity, and mean brightness metrics (all ICC > 0.85). However, solidity showed unacceptable reliability (ICC < 0.7). Age, height, total lean mass, trunk lean mass, and water volume were associated with inter-examiner disagreement on mean echo intensity. Cross-sectional area, perimeter, and roundness measurement errors were associated with lean mass and water volume.
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spelling doaj.art-504c7b7caa1c4919b10955b784f719362023-11-16T17:57:47ZengMDPI AGSensors1424-82202023-01-01233121310.3390/s23031213Inter-Examiner Disagreement for Assessing Cervical Multifidus Ultrasound Metrics Is Associated with Body Composition FeaturesUmut Varol0Marcos José Navarro-Santana1Sonia Gómez-Sánchez2Gustavo Plaza-Manzano3Elena Sánchez-Jiménez4Juan Antonio Valera-Calero5Escuela Internacional de Doctorado, Universidad Rey Juan Carlos, 29222 Alcorcón, SpainFaculty of Health, Universidad Católica de Ávila, C/Canteros, s/n, 05005 Ávila, SpainFaculty of Health, Universidad Católica de Ávila, C/Canteros, s/n, 05005 Ávila, SpainDepartment of Radiology, Rehabilitation and Physiotherapy, Universidad Complutense de Madrid, 28040 Madrid, SpainFaculty of Health, Universidad Católica de Ávila, C/Canteros, s/n, 05005 Ávila, SpainDepartment of Radiology, Rehabilitation and Physiotherapy, Universidad Complutense de Madrid, 28040 Madrid, SpainUltrasound imaging (US) is a biosensing technique that is widely used in several healthcare disciplines (including physiotherapy) for assessing multiple muscle metrics, such as muscle morphology and quality. Since all biosensors need to be tested in order to demonstrate their reliability, accuracy, sensitivity, and specificity, identifying factors that affect 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 associated with ultrasound measurement errors. B-mode images of the lumbar multifidus muscle at the L5 level were acquired and analyzed in 47 healthy volunteers by two examiners (one experienced and one novice). The cross-sectional area, muscle perimeter, and mean echo intensity were calculated bilaterally. A correlation analysis and a multivariate linear regression model were used for assessing the inter-examiner differences with respect to body composition metrics. The results demonstrated good-to-excellent reliability estimates for the cross-sectional area, muscle perimeter, aspect ratio, roundness, circularity, and mean brightness metrics (all ICC > 0.85). However, solidity showed unacceptable reliability (ICC < 0.7). Age, height, total lean mass, trunk lean mass, and water volume were associated with inter-examiner disagreement on mean echo intensity. Cross-sectional area, perimeter, and roundness measurement errors were associated with lean mass and water volume.https://www.mdpi.com/1424-8220/23/3/1213body compositionfatlean massultrasound imagingspinediagnostic accuracy studies
spellingShingle Umut Varol
Marcos José Navarro-Santana
Sonia Gómez-Sánchez
Gustavo Plaza-Manzano
Elena Sánchez-Jiménez
Juan Antonio Valera-Calero
Inter-Examiner Disagreement for Assessing Cervical Multifidus Ultrasound Metrics Is Associated with Body Composition Features
Sensors
body composition
fat
lean mass
ultrasound imaging
spine
diagnostic accuracy studies
title Inter-Examiner Disagreement for Assessing Cervical Multifidus Ultrasound Metrics Is Associated with Body Composition Features
title_full Inter-Examiner Disagreement for Assessing Cervical Multifidus Ultrasound Metrics Is Associated with Body Composition Features
title_fullStr Inter-Examiner Disagreement for Assessing Cervical Multifidus Ultrasound Metrics Is Associated with Body Composition Features
title_full_unstemmed Inter-Examiner Disagreement for Assessing Cervical Multifidus Ultrasound Metrics Is Associated with Body Composition Features
title_short Inter-Examiner Disagreement for Assessing Cervical Multifidus Ultrasound Metrics Is Associated with Body Composition Features
title_sort inter examiner disagreement for assessing cervical multifidus ultrasound metrics is associated with body composition features
topic body composition
fat
lean mass
ultrasound imaging
spine
diagnostic accuracy studies
url https://www.mdpi.com/1424-8220/23/3/1213
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