Predicting skeletal muscle mass from dual-energy X-ray absorptiometry in Japanese prepubertal children

2017 ◽  
Vol 71 (10) ◽  
pp. 1218-1222 ◽  
Author(s):  
T Midorikawa ◽  
M Ohta ◽  
Y Hikihara ◽  
S Torii ◽  
S Sakamoto
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Dual Energy ◽  
Prepubertal Children ◽  
X Ray

Total-body skeletal muscle mass: estimation by a new dual-energy X-ray absorptiometry method

2002 ◽  
Vol 76 (2) ◽  
pp. 378-383 ◽  
Author(s):  
Jaehee Kim ◽  
ZiMian Wang ◽  
Steven B Heymsfield ◽  
Richard N Baumgartner ◽  
Dympna Gallagher
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Dual Energy ◽  
Mass Estimation ◽  
X Ray ◽  
Total Body

scholarly journals Diagnosis of sarcopenia by evaluating skeletal muscle mass by adjusted bioimpedance analysis validated with dual‐energy X‐ray absorptiometry

2021 ◽  
Author(s):  
Keith Yu‐Kin Cheng ◽  
Simon Kwoon‐Ho Chow ◽  
Vivian Wing‐Yin Hung ◽  
Carissa Hing‐Wai Wong ◽  
Ronald Man‐Yeung Wong ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Dual Energy ◽  
Bioimpedance Analysis ◽  
X Ray

scholarly journals Total-body skeletal muscle mass: estimation by dual-energy X-ray absorptiometry in children and adolescents

2006 ◽  
Vol 84 (5) ◽  
pp. 1014-1020 ◽  
Author(s):  
Jaehee Kim ◽  
Wei Shen ◽  
Dympna Gallagher ◽  
Alfredo Jones ◽  
ZiMian Wang ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Children And Adolescents ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Dual Energy ◽  
Mass Estimation ◽  
X Ray ◽  
Total Body

scholarly journals Relationship between Dual-Energy X-Ray Absorptiometry-Derived Appendicular Lean Tissue Mass and Total Body Skeletal Muscle Mass Estimated by Ultrasound

2013 ◽  
Vol 04 (06) ◽  
pp. 283-286 ◽  
Author(s):  
Takashi Abe ◽  
Nicole C. Dabbs ◽  
Vinayak K. Nahar ◽  
M. Allison Ford ◽  
Martha A. Bass ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Dual Energy ◽  
Lean Tissue ◽  
Tissue Mass ◽  
Lean Tissue Mass ◽  
X Ray ◽  
Total Body

scholarly journals Prepubertal Asians have less limb skeletal muscle

2002 ◽  
Vol 92 (6) ◽  
pp. 2285-2291 ◽  
Author(s):  
Mi-Yeon Song ◽  
Jaehee Kim ◽  
Mary Horlick ◽  
Jack Wang ◽  
Richard N. Pierson ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Body Weight ◽  
African Americans ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Dual Energy ◽  
X Ray ◽  
Asian Children ◽  
Appendicular Skeletal Muscle ◽  
Prepubertal Girls

Skeletal muscle mass in prepubertal Asian children has not been examined previously. The aims of this study were to test the hypotheses that 1) prepubertal Asians have less appendicular skeletal muscle (ASM) mass compared with African-Americans and Caucasians, and 2) ASM is less in prepubertal Asian girls compared with Asian boys. ASM was estimated by using dual-energy X-ray absorptiometry in healthy prepubertal girls ( n = 170) and boys ( n= 166). The results showed that, after adjusting for age, height, and body weight, 1) Asian girls and boys had less amounts of ASM than African-Americans ( P < 0.001); 2) Asian girls had less amounts of ASM than Caucasian girls ( P = 0.004); 3) there was a trend towards less ASM in Asian compared with Caucasian boys ( P = 0.07); 4) and Asian girls had significantly less ASM than Asian boys ( P < 0.001). This study indicates that skeletal muscle mass as a fraction of body weight is smaller in Asian compared with African-American and Caucasian children.

Lower limb skeletal muscle mass: development of dual-energy X-ray absorptiometry prediction model

2000 ◽  
Vol 89 (4) ◽  
pp. 1380-1386 ◽  
Author(s):  
Rick Shih ◽  
Zimian Wang ◽  
Moonseong Heo ◽  
Wei Wang ◽  
Steven B. Heymsfield
Keyword(s):  
Skeletal Muscle ◽  
Soft Tissue ◽  
Muscle Mass ◽  
Lower Limb ◽  
Skeletal Muscle Mass ◽  
Dual Energy ◽  
Ischial Tuberosity ◽  
Predictor Variables ◽  
Prediction Equations ◽  
X Ray

Although magnetic resonance imaging (MRI) can accurately measure lower limb skeletal muscle (SM) mass, this method is complex and costly. A potential practical alternative is to estimate lower limb SM with dual-energy X-ray absorptiometry (DXA). The aim of the present study was to develop and validate DXA-SM prediction equations. Identical landmarks (i.e., inferior border of the ischial tuberosity) were selected for separating lower limb from trunk. Lower limb SM was measured by MRI, and lower limb fat-free soft tissue was measured by DXA. A total of 207 adults (104 men and 103 women) were evaluated [age 43 ± 16 (SD) yr, body mass index (BMI) 24.6 ± 3.7 kg/m2]. Strong correlations were observed between lower limb SM and lower limb fat-free soft tissue ( R 2 = 0.89, P < 0.001); age and BMI were small but significant SM predictor variables. In the cross-validation sample, the differences between MRI-measured and DXA-predicted SM mass were small (−0.006 ± 1.07 and −0.016 ± 1.05 kg) for two different proposed prediction equations, one with fat-free soft tissue and the other with added age and BMI as predictor variables. DXA-measured lower limb fat-free soft tissue, along with other easily acquired measures, can be used to reliably predict lower limb skeletal muscle mass.

Validity of measuring psoas muscle mass index for assessing sarcopenia in patients with gynecological cancer

2020 ◽  
Author(s):  
Ryutaro Yamada ◽  
Yukiharu Todo ◽  
Hiroyuki Kurosu ◽  
Kaoru Minowa ◽  
Tomohiko Tsuruta ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Skeletal Muscle ◽  
Confidence Interval ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Psoas Muscle ◽  
Dual Energy ◽  
X Ray ◽  
Index Measurement ◽  
Skeletal Muscle Mass Index

Abstract Objective The current study evaluated the performance of psoas muscle mass measurement for detecting low skeletal muscle mass quantity. Methods A sample of 82 consecutive patients with gynecological cancers was examined using computed tomography and dual energy X-ray absorptiometric scan before treatment. Skeletal muscle mass index was measured by dual energy X-ray absorptiometric scan and its cut-off value was set at 5.40 kg/m2 for detecting low skeletal muscle mass. Psoas muscle mass index was manually measured with cross-sectional computed tomography imaging at the level of L3 by six evaluators. Results Low skeletal muscle mass index was identified in 23 (28.0%) patients. Two-way analysis of variance confirmed a significant main effect of skeletal muscle mass index on mean psoas muscle mass index values (P &lt; 0.0001). A receiver operating characteristic curve obtained from a total of 492 psoas muscle mass index data points gathered from six evaluators produced an area under the curve value of 0.697 (95% confidence interval 0.649–0.744) and a cut-off value of 3.52 cm2/m2, with sensitivity of 79.0% and specificity of 59.6%. Using the cut-off value, the kappa coefficient for evaluating diagnostic agreement between skeletal muscle mass index (low vs. normal) and psoas muscle mass index (low vs. normal) was 0.308 (95% confidence interval 0.225–0.392), suggesting poor agreement. Fleiss’ kappa produced a coefficient of 0.418 (95% confidence interval 0.362–0.473), suggesting moderate agreement. Conclusions Although relevance between skeletal muscle mass index and psoas muscle mass index was confirmed, intensity of relevance between them was weak. Psoas muscle mass index measurement should be subordinated to skeletal muscle mass index measurement for detection of low skeletal muscle mass.

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