Prediction and Validation of DXA‐Derived Appendicular Fat‐Free Adipose Tissue by a Single Ultrasound Image of the Forearm in Japanese Older Adults

Abstract

Our results indicated that a single ultrasound forearm measurement can be used to accurately estimate DXA-derived aLM-minus-FFAT in Japanese older adults, which may be advantageous for community-based physical examinations.

Application of ultrasound for muscle assessment in sarcopenia: 2020 SARCUS update

“…Forearm musculature was evaluated at proximal 30% between the head of the radius and the styloid process of the ulna, in a standing position with the arm supinated, for muscle thickness [43].…”

Reliability and validity of ultrasound to estimate muscles: A comparison between different transducers and parameters

“…However, the validity of this method on the individual level is limited [5]. Alternatively, ultrasound is used to estimate peripheral muscle size [6e9], and based on multiple peripheral muscle size measurements, to estimate total muscle mass [6,10,11].…”

The use of ultrasound for the estimation of muscle mass: one site fits most?

“…Although not reported within this paper, we previously noted that two of those prediction equations selected by Nijholt et al included systematic error . Over the last couple of years, we have published several prediction equations for estimating DXA‐derived appendicular lean mass in older adults . Unfortunately, those equations were not included in the article by Nijholt et al Interestingly, a single site measurement of forearm muscle thickness was found to be good predictor of DXA‐derived lean soft tissue mass in older Caucasian adults, and the equation was also found to be accurate in older Japanese adults .…”

“…5 Over the last couple of years, we have published several prediction equations for estimating DXA-derived appendicular lean mass in older adults. [6][7][8] Unfortunately, those equations were not included in the article by Nijholt et al 4 Interestingly, a single site measurement of forearm muscle thickness was found to be good predictor of DXA-derived lean soft tissue mass in older Caucasian adults, 6 and the equation was also found to be accurate in older Japanese adults. 7 Notably, the standard error of the estimate was 1.95 kg for the equation that used a single muscle thickness site, whereas the standard error of the estimate of the equation that included eight predictors was 1.13 kg.…”