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Comparative assessment of abdominal and thigh muscle characteristics using CT-derived images.
de Medeiros, Galtieri Otávio Cunha; de Sousa, Iasmin Matias; Chaves, Gabriela Villaça; Gonzalez, Maria Cristina; Prado, Carla M; Fayh, Ana Paula Trussardi.
Afiliação
  • de Medeiros GOC; Postgraduate Program in Health Sciences, Health Sciences Center, Federal University of Rio Grande do Norte, Rio Grande do Norte, Brazil.
  • de Sousa IM; Postgraduate Program in Health Sciences, Health Sciences Center, Federal University of Rio Grande do Norte, Rio Grande do Norte, Brazil.
  • Chaves GV; Department of Nutrition, National Cancer Institute José Alencar Gomes da Silva (INCA), Rio de Janeiro, Brazil.
  • Gonzalez MC; Postgraduate Program in Health and Behavior, Catholic University of Pelotas, Rio Grande do Sul, Brazil.
  • Prado CM; Human Nutrition Research Unit, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada.
  • Fayh APT; Postgraduate Program in Health Sciences, Health Sciences Center, Federal University of Rio Grande do Norte, Rio Grande do Norte, Brazil; Postgraduate Program in Nutrition, Health Sciences Center, Federal University of Rio Grande do Norte, Rio Grande do Norte, Brazil; Postgraduate Program in Physical
Nutrition ; 99-100: 111654, 2022.
Article em En | MEDLINE | ID: mdl-35576877
OBJECTIVES: The aim of this study was to compare the assessment of skeletal muscle area (SMA in cm²), skeletal muscle index (SMI in cm²/m²), and skeletal muscle density (SMD in HU) between third lumbar vertebra (L3) and thigh landmarks, and the agreement in diagnosing low muscle mass and low SMD (L3 as the reference method). METHODS: This was a multicenter, cross-sectional study including healthy individuals (≥18 y of age) of both sexes, who had an elective computed tomography exam including abdominal and pelvic regions. Computed tomography images were analyzed to evaluate SMA, SMI, and SMD. Muscle abnormalities (low SMA, SMI, and SMD) were defined as values below the fifth percentile from a subsample of healthy young individuals (n = 111; 18-39 y of age; 55.9% women). Correlation coefficients, Bland-Altman graphs, and receiver operating characteristic (ROC) curves were calculated for the total sample and stratified by sex and age. RESULTS: In all, 268 individuals (44.3 ± 15.2 y of age) were evaluated (53% women). Significant (P < 0.001 for all analysis) and strong correlations between SMA (r = 0.896), SMI (r= 0.853), and SMD (r= 0.864) compared with L3 and thigh landmarks were observed. For the ROC curves, similar areas under the curve values were obtained for men (0.981), women (0.895), younger (0.902), and older adults (0.894). CONCLUSIONS: Muscle characteristics between L3and thigh landmarks have a strong correlation. This suggests that images of the thigh can be used to characterize muscle characteristics. Image acquisition and analysis of thigh region is simpler, with less radiation exposure, and consequently more appropriate for longitudinal analysis.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sarcopenia Tipo de estudo: Diagnostic_studies / Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Nutrition Assunto da revista: CIENCIAS DA NUTRICAO Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Brasil País de publicação: Estados Unidos
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sarcopenia Tipo de estudo: Diagnostic_studies / Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Nutrition Assunto da revista: CIENCIAS DA NUTRICAO Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Brasil País de publicação: Estados Unidos