caa a22 4500 467940630 CHVBK 20180406153011.0 cr unu---uuuuu 170328e20060101xx s 000 0 eng 10.1007/s00421-005-0061-0 doi (NATIONALLICENCE)springer-10.1007/s00421-005-0061-0 Prediction and validation of total and regional skeletal muscle mass by ultrasound in Japanese adults [Elektronische Daten] [Kiyoshi Sanada, Charles Kearns, Taishi Midorikawa, Takashi Abe] The present study was performed to develop regression-based prediction equations for skeletal muscle (SM) mass by ultrasound and to investigate the validity of these equations in Japanese adults. Seventy-two Japanese men (n=38) and women (n=34) aged 18-61years participated in this study and were randomly separated into two groups: the model development group (n=48) and the validation group (n=24). The total and regional SM mass were measured using magnetic resonance imaging (MRI) 1.5 T-scanners with spin-echo sequence. Contiguous transverse images (about 150 slices) with a slice thickness of 1cm were obtained from the first cervical vertebra to the ankle joints. The volume of SM was calculated from the summation of digitized cross-sectional area. The SM volume was converted into mass units (kg) by an assumed SM density of 1.04kgl−1. The muscle thickness (MTH) was measured by B-mode ultrasound (5MHz scanning head) at nine sites on the anatomical SM belly. Strong correlations were observed between the site-matched SM mass (total, arm, trunk body, thigh, and lower leg) by MRI measurement and the MTH×height (in m) in the model development group (r=0.83-0.96 in men, r=0.53-0.91 in women, P<0.05). When the SM mass prediction equations were applied to the validation group, significant correlations were also observed between the MRI-measured and predicted SM mass (P<0.05). The predicted total SM mass for the validation group was 19.6 (6.5)kg and was not significantly different from the MRI-measured SM mass of 20.2 (6.5)kg. Bland-Altman analysis did not indicate a bias in prediction of the total SM mass for the validation group (r=0.00, NS). These results suggested that ultrasound-derived prediction equations are a valid method to predict SM mass and an alternative to MRI measurement in healthy Japanese adults. Springer-Verlag, 2005 Magnetic resonance imaging nationallicence Prediction equation nationallicence Regional nationallicence Skeletal muscle mass nationallicence Ultrasound nationallicence Sanada Kiyoshi Tokyo Metropolitan University, 1-1 Minami-Ohsawa Hachioji, 192-0397, Tokyo, Japan aut Kearns Charles Tokyo Metropolitan University, 1-1 Minami-Ohsawa Hachioji, 192-0397, Tokyo, Japan aut Midorikawa Taishi Tokyo Metropolitan University, 1-1 Minami-Ohsawa Hachioji, 192-0397, Tokyo, Japan aut Abe Takashi Tokyo Metropolitan University, 1-1 Minami-Ohsawa Hachioji, 192-0397, Tokyo, Japan aut European Journal of Applied Physiology Springer-Verlag 96/1(2006-01-01), 24-31 1439-6319 96:1<24 2006 96 421 https://doi.org/10.1007/s00421-005-0061-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00421-005-0061-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Sanada Kiyoshi Tokyo Metropolitan University, 1-1 Minami-Ohsawa Hachioji, 192-0397, Tokyo, Japan aut NATIONALLICENCE 700 1- Kearns Charles Tokyo Metropolitan University, 1-1 Minami-Ohsawa Hachioji, 192-0397, Tokyo, Japan aut NATIONALLICENCE 700 1- Midorikawa Taishi Tokyo Metropolitan University, 1-1 Minami-Ohsawa Hachioji, 192-0397, Tokyo, Japan aut NATIONALLICENCE 700 1- Abe Takashi Tokyo Metropolitan University, 1-1 Minami-Ohsawa Hachioji, 192-0397, Tokyo, Japan aut NATIONALLICENCE 773 0- European Journal of Applied Physiology Springer-Verlag 96/1(2006-01-01), 24-31 1439-6319 96:1<24 2006 96 421 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer