Correlation between Body Composition and Inter-Examiner Errors for Assessing Lumbar Multifidus Muscle Size, Shape and Quality Metrics with Ultrasound Imaging.
Autor: Varol, Umut; Sánchez-Jiménez, Elena; Alyette Adélaïde Leloup, Emma; Navarro-Santana, Marcos José; Fernández-de-las-Peñas, César; Sánchez Jorge, Sandra; Valera-Calero, Juan Antonio
Resumen: 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.
Identificador universal: https://hdl.handle.net/10641/3552
Fecha: 2023
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