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Association Between Muscle Strength and Modeling Estimates of Muscle Tissue Heterogeneity in Young and Old Adults
Author(s) -
HarrisLove Michael O.,
Gonzales Tomas I.,
Wei Qi,
Ismail Catheeja,
Zabal Johannah,
Woletz Paula,
DiPietro Loretta,
Blackman Marc R.
Publication year - 2019
Publication title -
journal of ultrasound in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.574
H-Index - 91
eISSN - 1550-9613
pISSN - 0278-4297
DOI - 10.1002/jum.14864
Subject(s) - medicine , echogenicity , statistics , nakagami distribution , grayscale , isometric exercise , statistical significance , grip strength , histogram , goodness of fit , mathematics , physical therapy , surgery , artificial intelligence , ultrasonography , decoding methods , pixel , fading , computer science , image (mathematics)
Objectives Assessing aging muscle through estimates of muscle heterogeneity may overcome some of the limitations of grayscale analyses. The objectives of this study included determining statistical model parameters that characterize muscle echogenicity and are associated with strength in younger and older participants. Methods Thirty‐three community‐dwelling participants were assigned to younger and older groups. Quantitative B‐mode ultrasound scanning of the rectus femoris and isometric grip strength testing were completed. Shape or dispersion parameters from negative binomial distribution, Nakagami, gamma, and gamma mixture models were fitted to the grayscale histograms. Results The mean ages ± SDs of the younger and older groups were 24.0 ± 2.3 and 65.1 ± 6.5 years, respectively. Statistical model shape and dispersion parameters for the grayscale histograms significantly differed between the younger and older participants ( P = .002–.006). Among all of the statistical models considered, the gamma mixture model showed the best fit with the grayscale histograms (χ 2 goodness of fit = 62), whereas the Nakagami distribution displayed the poorest fit (χ 2 goodness of fit = 2595). Grayscale values were significantly associated with peak grip strength force in younger adult participants ( R 2 = 0.36; P < .008). However, the negative binomial dispersion parameter k (adjusted R 2 = 0.70; P < .001) and gamma shape parameter α (adjusted R 2 = 0.68; P < .01) showed the highest associations with peak grip strength force in older adult participants. Conclusions The negative binomial dispersion parameter k and the gamma shape parameter α have clinical relevance for the assessment of age‐related muscle changes. Statistical models of muscle heterogeneity may characterize the association between muscle tissue composition estimates and strength better than grayscale measures in samples of community‐dwelling older adults.