scholarly journals Validation of cutoffs for skeletal muscle mass index based on computed tomography analysis against dual energy X-ray absorptiometry in patients with cirrhosis: the KIRRHOS study

Author(s):  
Alexandra Georgiou
Author(s):  
Ryutaro Yamada ◽  
Yukiharu Todo ◽  
Hiroyuki Kurosu ◽  
Kaoru Minowa ◽  
Tomohiko Tsuruta ◽  
...  

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 < 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.


2021 ◽  
Vol 10 (7) ◽  
pp. 1419
Author(s):  
Kazuki Ohashi ◽  
Toru Ishikawa ◽  
Asami Hoshii ◽  
Tamaki Hokari ◽  
Hirohito Noguchi ◽  
...  

Although dual-energy X-ray absorptiometry (DXA) and body impedance analysis are commonly used to measure skeletal muscle mass (SMM), a computed tomography (CT) scan is preferred in clinical practice. We aimed to propose the cut-off values of skeletal muscle mass index (SMI) calculated using CT scans, using DXA as the reference method. We retrospectively assessed 589 patients with chronic liver disease. The SMI was assessed using appendicular SMM by DXA and total muscle area at the level of the third lumbar vertebra (L3) calculated by CT. The cut-off value was determined with reference to the Asian Working Group for Sarcopenia criteria. DXA identified 251 (42.6%) patients as having presarcopenia. In men, the cut-off value of SMI for presarcopenia was determined to be 45.471 cm2/m2, with an area under the curve (AUC) of 0.863 (95% confidence interval (CI): 0.823 to 0.903), and in women, this value was determined to be 35.170 cm2/m2, with an AUC of 0.846 (95% CI: 0.800 to 0.892). Cohen’s kappa coefficient was 0.575 (95% CI: 0.485–0.665) in men and 0.539 (95% CI: 0.438–0.639) in women.


2020 ◽  
pp. 1-1
Author(s):  
Y. Matsui

Thank you for your letter (1) concerning our article entitled, «Association of muscle strength and gait speed with cross-sectional muscle area determined by mid-thigh computed tomography—a comparison with skeletal muscle mass measured by dual-energy X-ray absorptiometry» (2). We are pleased to know that you were interested in our work and have recognized the clinical relevance of measuring the quadriceps muscle mass for estimating the motor function.


2002 ◽  
Vol 76 (2) ◽  
pp. 378-383 ◽  
Author(s):  
Jaehee Kim ◽  
ZiMian Wang ◽  
Steven B Heymsfield ◽  
Richard N Baumgartner ◽  
Dympna Gallagher

Author(s):  
Keith Yu‐Kin Cheng ◽  
Simon Kwoon‐Ho Chow ◽  
Vivian Wing‐Yin Hung ◽  
Carissa Hing‐Wai Wong ◽  
Ronald Man‐Yeung Wong ◽  
...  

2006 ◽  
Vol 84 (5) ◽  
pp. 1014-1020 ◽  
Author(s):  
Jaehee Kim ◽  
Wei Shen ◽  
Dympna Gallagher ◽  
Alfredo Jones ◽  
ZiMian Wang ◽  
...  

2013 ◽  
Vol 04 (06) ◽  
pp. 283-286 ◽  
Author(s):  
Takashi Abe ◽  
Nicole C. Dabbs ◽  
Vinayak K. Nahar ◽  
M. Allison Ford ◽  
Martha A. Bass ◽  
...  

2002 ◽  
Vol 92 (6) ◽  
pp. 2285-2291 ◽  
Author(s):  
Mi-Yeon Song ◽  
Jaehee Kim ◽  
Mary Horlick ◽  
Jack Wang ◽  
Richard N. Pierson ◽  
...  

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.


2000 ◽  
Vol 89 (4) ◽  
pp. 1380-1386 ◽  
Author(s):  
Rick Shih ◽  
Zimian Wang ◽  
Moonseong Heo ◽  
Wei Wang ◽  
Steven B. Heymsfield

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.


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