Echo Intensity Reliability From Two Ultrasound Systems

Rabello, Rodrigo; Pompeo, Klauber Dalcero; Paz, Isabel de Almeida; Lanferdini, Fábio Juner; Pinto, Ronei Silveira; Vaz, Marco Aurélio

doi:10.1177/8756479320929030

Cited by 2 publications

(4 citation statements)

References 32 publications

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“…Interestingly, other included studies did find non-subcutaneous fat corrected EI to be correlated with muscle strength [ 18 , 22 ]. Such mixed results might be due to differences in utilized US brands, settings, and equations [ 14 , 51 , 52 ]. Different US brands or systems have been shown to lead to different absolute EI measurements [ 14 , 51 , 52 ].…”

Section: Discussionmentioning

confidence: 99%

“…Such mixed results might be due to differences in utilized US brands, settings, and equations [ 14 , 51 , 52 ]. Different US brands or systems have been shown to lead to different absolute EI measurements [ 14 , 51 , 52 ]. While the settings of a US system can be adjusted as to improve EI measurements, these settings are system-specific and cannot be implemented for other US systems [ 14 , 51 , 52 ].…”

Section: Discussionmentioning

confidence: 99%

“…Different US brands or systems have been shown to lead to different absolute EI measurements [ 14 , 51 , 52 ]. While the settings of a US system can be adjusted as to improve EI measurements, these settings are system-specific and cannot be implemented for other US systems [ 14 , 51 , 52 ]. This issue especially affects EI measurements which use various equations in an attempt to adjust for factors such as adipose tissue [ 14 , 51 , 52 ], which again, are system-specific and cannot be used for other US systems [ 14 , 51 ].…”

Section: Discussionmentioning

confidence: 99%

“…While the settings of a US system can be adjusted as to improve EI measurements, these settings are system-specific and cannot be implemented for other US systems [ 14 , 51 , 52 ]. This issue especially affects EI measurements which use various equations in an attempt to adjust for factors such as adipose tissue [ 14 , 51 , 52 ], which again, are system-specific and cannot be used for other US systems [ 14 , 51 ]. Considering that the included studies used various US systems to evaluate EI, it seems plausible that some studies would be subject to these systematic errors.…”

Section: Discussionmentioning

confidence: 99%

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Factors of Muscle Quality and Determinants of Muscle Strength: A Systematic Literature Review

2022

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Muscle quality defined as the ratio of muscle strength to muscle mass disregards underlying factors which influence muscle strength. The aim of this review was to investigate the relationship of phase angle (PhA), echo intensity (EI), muscular adipose tissue (MAT), muscle fiber type, fascicle pennation angle (θf), fascicle length (lf), muscle oxidative capacity, insulin sensitivity (IS), neuromuscular activation, and motor unit to muscle strength. PubMed search was performed in 2021. The inclusion criteria were: (i) original research, (ii) human participants, (iii) adults (≥18 years). Exclusion criteria were: (i) no full-text, (ii) non-English or -German language, (iii) pathologies. Forty-one studies were identified. Nine studies found a weak–moderate negative (range r: [−0.26]–[−0.656], p < 0.05) correlation between muscle strength and EI. Four studies found a weak–moderate positive correlation (range r: 0.177–0.696, p < 0.05) between muscle strength and PhA. Two studies found a moderate-strong negative correlation (range r: [−0.446]–[−0.87], p < 0.05) between muscle strength and MAT. Two studies found a weak-strong positive correlation (range r: 0.28–0.907, p < 0.05) between θf and muscle strength. Muscle oxidative capacity was found to be a predictor of muscle strength. This review highlights that the current definition of muscle quality should be expanded upon as to encompass all possible factors of muscle quality.

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