scholarly journals Predictors of Discordance in the Assessment of Skeletal Muscle Mass between Computed Tomography and Bioimpedance Analysis

2019 ◽  
Vol 8 (3) ◽  
pp. 322 ◽  
Author(s):  
Min Jo ◽  
Tae Lim ◽  
Mi Jeon ◽  
Hye Lee ◽  
Beom Kim ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Female Gender ◽  
Albumin Level ◽  
Advanced Age ◽  
Bioimpedance Analysis ◽  
Skeletal Muscle Index ◽  
Cutoff Values

Computed tomography (CT) and bioimpedance analysis (BIA) can assess skeletal muscle mass (SMM). Our objective was to identify the predictors of discordance between CT and BIA in assessing SMM. Participants who received a comprehensive medical health check-up between 2010 and 2018 were recruited. The CT and BIA-based diagnostic criteria for low SMM are as follows: Defined CT cutoff values (lumbar skeletal muscle index (LSMI) <1 standard deviation (SD) and means of 46.12 cm2/m2 for men and 34.18 cm2/m2 for women) and defined BIA cutoff values (appendicular skeletal muscle/height2 <7.0 kg/m2 for men and <5.7 kg/m2 for women). A total of 1163 subjects were selected. The crude and body mass index (BMI)-adjusted SMM assessed by CT were significantly associated with those assessed by BIA (correlation coefficient = 0.78 and 0.68, respectively; p < 0.001). The prevalence of low SMM was 15.1% by CT and 16.4% by BIA. Low SMM diagnosed by CT was significantly associated with advanced age, female gender, and lower serum albumin level, whereas low SMM diagnosed by BIA was significantly associated with advanced age, female gender, and lower BMI (all p < 0.05). Upon multivariate analysis, age >65 years, female and BMI <25 kg/m2 had significantly higher risks of discordance than their counterparts (all p < 0.05). We found a significant association between SMM assessed by CT and BIA. SMM assessment using CT and BIA should be interpreted cautiously in older adults (>65 years of age), female and BMI <25 kg/m2.

Simple Age Specific Cutoff Value for Sarcopenia Evaluated by Computed Tomography

2017 ◽  
Vol 71 (3-4) ◽  
pp. 157-163 ◽  
Author(s):  
Ji Sun Kim ◽  
Won Young Kim ◽  
Hyun Kyung Park ◽  
Myung Chun Kim ◽  
Woong Jung ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Psoas Muscle ◽  
Health Screening ◽  
Healthy Adults ◽  
Cutoff Value ◽  
Cutoff Values ◽  
The Mean

Objective: Until now, cutoff values of low skeletal muscle mass using computed tomography (CT) were driven by optimal stratification to predict mortality in cancer patients. The aim of the present study was to investigate the simple, age-specific, cutoff value of low skeletal muscle mass by CT in healthy adults. Design: This is a retrospective, observational, single-center study. Setting: This study was performed in the health screening department of a university-affiliated hospital during a 10-year period. Patients: Medical records of 1,422 patients presenting to the health screening department were reviewed. Cross-sectional area of psoas muscle at the level of the third lumbar vertebra on abdominal CT was measured and adjusted by height (mm2/m2). This value (psoas muscle index [PMI]) was assumed to represent whole skeletal muscle mass. We divided the patients according to age, sex, and defined cutoff value of low skeletal muscle mass as 2 SDs below the mean. Intervention: None. Measurements and Main Results: Among 1,422 patients, 550 patients (38.6%) were male. The mean PMI was 896.60 (mm2/m2) for men and 570.54 (mm2/m2) for women. Cutoff values of PMI for men were 592.3 mm2/m2 for 20-39 years, 474.0 mm2/m2 for 40-49 years, 422.2 mm2/m2 for 50-59 years, 374.4 mm2/m2 for 60-69 years, and 331.5 mm2/m2 for 70-89 years. The values for women were 399.9 mm2/m2 for 20-39 years, 287.7 mm2/m2 for 40-49 years, 242.5 mm2/m2 for 50-59 years, 220.4 mm2/m2 for 60-69 years, and 147.6 mm2/m2 for 70-89 years. Conclusions: Cutoff values of low skeletal muscle mass using CT differed in healthy adults as age increased. Further studies on the effect of sarcopenia intervention using this cutoff value are needed.

Clinical impact of sarcopenia on prognosis in pancreatic ductal adenocarcinoma.

2017 ◽  
Vol 35 (4_suppl) ◽  
pp. 259-259
Author(s):  
Go Ninomiya ◽  
Tsutomu Fujii ◽  
Suguru Yamada ◽  
Tomonari Asano ◽  
Nao Takano ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Skeletal Muscle ◽  
Adipose Tissue ◽  
Prognostic Factors ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
The Body ◽  
Pancreatic Ductal Carcinoma ◽  
Skeletal Muscle Index ◽  
Significant Difference

259 Background: In the past, various prognostic factors in pancreatic ductal carcinoma (PDAC) have been identified, and there found to be not only tumor-specific clinicopathological factors but also individual patient characteristics. In particular, weight loss, muscle wasting and cachexia are hallmarks of PDAC that may be associated with depletion of both skeletal muscle and adipose tissue. Most notably, sarcopenia is defined to be degenerative loss of skeletal muscle mass that is quantifiable using cross sectional imaging computed tomography (CT) by measurement of psoas area and the muscle’s density. Furthermore, visceral adipose tissue loss also has been reported to associate with a poor survival among patients with PDAC. Methods: A total of 265 patients who underwent curative surgery for PDAC were examined in this study. The total skeletal muscle and fat tissue areas were evaluated in a single image obtained at the third lumber vertebra during a preoperative computed tomography (CT) scan. The patients were assigned to either the sarcopenia or non-sarcopenia group based on their skeletal muscle index (SMI) and classified into high visceral fat area (H-VFA) or low VFA (L-VFA) groups. The association of clinicopathological features and prognosis with the body composition were statistically analyzed. Results: There were 170 patients (64.2%) with sarcopenia. The median survival time (MST) was 23.7 months for sarcopenia patients and 25.8 months for patients without sarcopenia. The MST was 24.4 months for H-VFA patients and 25.8 months for L-VFA patients. However, sarcopenia patients with BMI ≥ 22 exhibited significantly poorer survival than patients without sarcopenia (MST: 19.2 vs. 35.4 months, P = 0.025). There was a significant difference between patients with and without sarcopenia who did not receive chemotherapy (5-year survival rate: 0% vs. 68.3%, P = 0.003). The multivariate analysis revealed that tumor size, positive dissected peripancreatic tissue margin, and sarcopenia were independent prognostic factors. Conclusions: Sarcopenia is an independent prognostic factor in PDAC patients with a BMI ≥ 22. Therefore, evaluating skeletal muscle mass may be a simple and useful approach for predicting patient prognosis.

scholarly journals Skeletal muscle index and its association with mobility among community‐dwelling older women

2021 ◽  
Vol 13 (1) ◽  
pp. 37-44
Author(s):  
ZBIGNIEW M. OSSOWSKI
Keyword(s):  
Skeletal Muscle ◽  
Older People ◽  
Older Women ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Lower Extremities ◽  
Community Dwelling ◽  
Functional Mobility ◽  
Skeletal Muscle Index ◽  
Chair Stand

Background: The loss of muscle function and reduced mobility levels are the main reasons for the limitations of independence and disability in older people. The main aim of this study was to determine the relationship between the skeletal muscle index and mobility in older women. Material and methods: ‪The study involved 166 older women. Skeletal muscle mass and other body components were determined by bioimpedance using an InBody 720 device. Functional mobility was evaluated with the timed up-and-go test. 30-second chair stand was also used to measure the level of functional strength in lower extremities. Results: ‪The skeletal muscle index was positively correlated with functional mobility (r=-0.22; p=0.00) and 30-second chair stand (r=-0.47; p=0.00). However, the strength of lower extremities was a significantly better parameter in predicting mobility in older women than the skeletal muscle index and skeletal muscle mass. Conclusions: The functional strength of lower extremity muscles and the skeletal muscle index can have a positive effect on functional mobility in older people. The results may be helpful in clinical practice when diagnosing mobility limitations and in the process of programming physical activity of older women aimed at the prevention of sarcopenia.

scholarly journals Simplified morphological evaluation of skeletal muscle mass and maximum muscle strength in healthy young women: Comparison between thigh and calf

2020 ◽  
Vol 16 ◽  
pp. 174550652096200
Author(s):  
Tomohiro Yasuda
Keyword(s):  
Skeletal Muscle ◽  
Regression Analysis ◽  
Muscle Mass ◽  
Young Women ◽  
Skeletal Muscle Mass ◽  
Handgrip Strength ◽  
Muscle Thickness ◽  
Skeletal Muscle Index ◽  
Stand Test ◽  
Sit To Stand

Objectives: The purpose of this study was to examine the prediction of skeletal muscle mass and maximum muscle strength using simplified morphology evaluation in young Japanese women from the thigh and calf perspective. Methods: A total of 249 Japanese young women (aged 18–25 years) were used for data analyses in this study. Thigh and calf girths were measured using a tape measure at 50% of thigh length and at 30% proximal of calf length, respectively. Muscle thickness was measured using B-mode ultrasound at the anterior and posterior thigh (at 50% of thigh length) and at the posterior lower leg (at 30% proximal of calf length), respectively. The measurements were carried out on the right side of the body while the participants stood with their elbows extended and relaxed. A stepwise multiple regression analysis (method of increasing and decreasing the variables; criterion set at p < 0.05) was performed for skeletal muscle index (defined by appendicular skeletal muscle mass/height2), handgrip strength, or sit-to-stand test and five variable factors (girth (thigh and calf) and muscle thickness (anterior and posterior thigh and posterior calf)). Results: Unlike the sit-to-stand test, skeletal muscle index or handgrip strength was correlated ( p < 0.001) with the girth or muscle thickness for both thigh and calf. Unlike the sit-to-stand test, the prediction equations for skeletal muscle index and handgrip strength estimation showed significant correlations with multiple regression analysis of data obtained from the calf girth and muscle thickness. In both skeletal muscle index and handgrip strength, calf girth was adopted as a Step 1, respectively. Conclusion: Our results indicated that skeletal muscle index and handgrip strength could be evaluated by the simplified morphology methods, especially that for the calf girth measurement, which may be a good indicator of screening/preventing for sarcopenia in healthy Japanese young women.

scholarly journals Feasibility of computed tomography-based assessment of skeletal muscle mass in hemodialysis patients

2020 ◽  
Author(s):  
Tomoaki Takata ◽  
Aki Motoe ◽  
Katsumi Tanida ◽  
Sosuke Taniguchi ◽  
Ayami Ida ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Hemodialysis Patients

Proposal for new diagnostic criteria for low skeletal muscle mass based on computed tomography imaging in Asian adults

Nutrition ◽  
2016 ◽  
Vol 32 (11-12) ◽  
pp. 1200-1205 ◽  
Author(s):  
Yuhei Hamaguchi ◽  
Toshimi Kaido ◽  
Shinya Okumura ◽  
Atsushi Kobayashi ◽  
Ahmed Hammad ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Skeletal Muscle ◽  
Diagnostic Criteria ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Computed Tomography Imaging ◽  
Tomography Imaging

SUN-P201: Contrast-Enhancement Influences Skeletal Muscle Density, but Not Skeletal Muscle Mass, Measurements on Computed Tomography

2017 ◽  
Vol 36 ◽  
pp. S128 ◽  
Author(s):  
J. Van Vugt ◽  
R. Coebergh van den Braak ◽  
H.-J. Schippers ◽  
K. Veen ◽  
S. Levolger ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Skeletal Muscle ◽  
Contrast Enhancement ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Mass Measurements ◽  
Muscle Density

scholarly journals Depletion of skeletal muscle mass adversely affects long-term outcomes for men undergoing gastrectomy for gastric cancer

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256365
Author(s):  
Katsunobu Sakurai ◽  
Naoshi Kubo ◽  
Yutaka Tamamori ◽  
Naoki Aomatsu ◽  
Takafumi Nishii ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Independent Predictor ◽  
Major Complication ◽  
Cancer Specific Survival ◽  
Skeletal Muscle Index ◽  
Lumbar Vertebral Body ◽  
Grade 3

Background Although low skeletal muscle mass has an adverse impact on the treatment outcomes of cancer patients, whether the relationship between preoperative skeletal muscle mass and gastrectomy outcomes in gastric cancer (GC) differs between men and women is unclear. The study aimed to clarify this relationship based on gender. Methods Between January 2007 and December 2015, 1054 patients who underwent gastrectomy for GC at Osaka City General Hospital were enrolled in this study. We evaluated sarcopenia by the skeletal muscle index (SMI), which was measured by computed tomography (CT) using areas of muscle in the third lumbar vertebral body (L3). Male and female patients were each divided into two groups (low skeletal muscle and high skeletal muscle). Results The SMI emerged as an independent predictor of 5-year overall survival (OS) in male GC patients (Hazard ratio 2.51; 95% confidence interval (CI) 1.73–3.63, p < 0.001) based on multivariate analysis. However, this index was not an independent predictive determinant of 5-year cancer-specific survival (CSS). The SMI was not an independent predictor of either OS or CSS in female GC patients. The incidence of leakage and major complication (Clavien Dindo grade ≧ 3) did not differ significantly across groups. Conclusions Preoperative skeletal muscle mass is a valuable prognostic predictor of OS in male GC patients.

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