Quantification of Adipose Tissue and Muscle Mass Based on Computed Tomography Scans: Comparison of Eight Planimetric and Diametric Techniques Including a Step-By-Step Guide

2018 ◽  
Vol 59 (1-2) ◽  
pp. 23-34 ◽  
Author(s):  
Thomas Irlbeck ◽  
Silke Janitza ◽  
Balázs Poros ◽  
Monika Golebiewski ◽  
Lorenz Frey ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Body Composition ◽  
Adipose Tissue ◽  
Muscle Mass ◽  
Interobserver Reliability ◽  
Pearson Correlation ◽  
The Body ◽  
Cross Sectional ◽  
Single Cross ◽  
Planimetric Measurements

Background: Recent scientific work proved that knowledge about body composition beyond the body mass index is essential. Both adipose tissue and muscular status are determining risk factors of morbidity and mortality. Analysis of single cross-sectional computed tomography (CT) images, acquired during routine care only to prevent additional radiation exposure, provide a detailed insight into the body composition of chronically and critically ill patients. Methods: This retrospective study included 490 trauma patients of whom a whole-body multiple detector CT scan was acquired at admission. From a single cross-sectional CT, we compared eight diametric and planimetric techniques for the assessment of core muscle mass as well as visceral and subcutaneous adipose tissue. Furthermore, we derived formulas for converting the measurement results of various techniques into each other. Results: For intra- and interobserver reliability, we obtained intraclass correlation coefficients (ICCs) ranging from 0.947 to 0.997 (intraobserver reliability) and from 0.850 to 0.998 (interobserver reliability) for planimetric measurements. Diametric techniques conferred lower ICCs with 0.851–0.995 and 0.833–0.971, respectively. Overall, area-based measurements of abdominal adipose tissue yielded highly correlated results with diametric measures of obesity. For example, the Pearson correlation of visceral adipose tissue and sagittal abdominal diameter was 0.87 for male and 0.82 for female patients. Planimetric and diametric muscle measurements correlated best for lean psoas area and bilateral diametric measurement of the psoas with a Pearson correlation of 0.90 and 0.93 for male and female patients, respectively. Conclusion: Planimetric measurements should remain the gold standard to describe fat and muscle compartments. Diametric measurements could however serve as a surrogate if planimetric techniques are not readily available or feasible as for example in large registries.

Perceived stress and its relationship with the body composition of undergraduate students of a medical college in Nigeria.

2016 ◽  
Author(s):  
Ayoola Ibifubara Aiyegbusi ◽  
Sunday Rufus Akinbo ◽  
Oluwadamilola Bolarinwa Adebisi
Keyword(s):  
Body Composition ◽  
Muscle Mass ◽  
Undergraduate Students ◽  
Perceived Stress ◽  
Stress Level ◽  
Visceral Fat ◽  
Cross Sectional Study ◽  
The Body ◽  
Cross Sectional ◽  
Significant Relationships

Background: Stress among medical undergraduates has been reported to be on the increase with subsequent tendency towards obesity. However, the association between perceived stress and body composition has yet to be determined.Objective: This cross-sectional study was undertaken to determine the relationship between perceived stress and body composition among undergraduates of the College of Medicine, University of Lagos, Nigeria.Methods: Three hundred and twenty-nine apparently healthy undergraduates (165 males and 164 females) with ages between 17 to 35 years participated in the study. Physical characteristics such as weight, height, body mass index (BMI), and body composition indices were measured using standard procedures. Questionnaires were administered to assess the levels of perceived stress of the participants. The data were analyzed using mean, standard deviation and Spearman’s Correlation Coefficient analysis.Results: The mean stress level was low (27.33 ± 10.60). There were significant relationships between the body composition indices and perceived stress with visceral fat having the strongest relationship (p = 0.004) while BMI had the least correlation (p = 0.037). There were also significant relationships between age, gender and body composition indices. The percentage muscle mass, visceral fat, and body fat had significant relationships with the gender of the participants.Conclusion: Visceral fat, BMI, and percentage muscle mass increased with an increase in perceived stress level, and females had a lower level of perceived stress than males.

scholarly journals Circulating Metabolites Associated with Body Fat and Lean Mass in Adults with Overweight/Obesity

Metabolites ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 317
Author(s):  
Christopher Papandreou ◽  
Jesús García-Gavilán ◽  
Lucía Camacho-Barcia ◽  
Thea T. Hansen ◽  
Anders Sjödin ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Lean Mass ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
The Body ◽  
Acid Oxidation ◽  
Cross Sectional ◽  
Body Compartments ◽  
Fold Cross Validation

The interplay between fat mass and lean mass within human metabolism is not completely understood. We aimed to identify specific circulating metabolomic profiles associated with these body composition compartments. Cross-sectional analyses were conducted over 236 adults with overweight/obesity from the Satiety Innovation (SATIN) study. Body composition was assessed by dual-energy X-ray absorptiometry. A targeted multiplatform metabolite profiling approach was applied. Associations between 168 circulating metabolites and the body composition measures were assessed using elastic net regression analyses. The accuracy of the multimetabolite weighted models was evaluated using a 10-fold cross-validation approach and the Pearson’s correlation coefficients between metabolomic profiles and body compartments were estimated. Two different profiles including 86 and 65 metabolites were selected for % body fat and lean mass. These metabolites mainly consisted of lipids (sphingomyelins, phosphatidylcholines, lysophosphatidylcholines), acylcarnitines, and amino acids. Several metabolites overlapped between these body composition measures but none of them towards the same direction. The Pearson correlation coefficients between the metabolomic profiles and % body fat or lean mass were 0.80 and 0.79, respectively. Our findings suggest alterations in lipid metabolism, fatty acid oxidation, and protein degradation with increased adiposity and decreased lean body mass. These findings could help us to better understand the interplay between body composition compartments with human metabolic processes.

scholarly journals Changes in body composition parameters with duration in type II diabetics: an observational study

2020 ◽  
Vol 7 (4) ◽  
pp. 1437
Author(s):  
Leena Raje ◽  
Pallavi Mhaskar
Keyword(s):  
Body Composition ◽  
Muscle Mass ◽  
Fat Mass ◽  
Visceral Fat ◽  
The Body ◽  
Composition Analysis ◽  
Type Ii ◽  
Cross Sectional ◽  
Mean Values ◽  
Mass Increase

Background: Diabetes mellitus being a metabolic disorder lot of alteration takes place in body composition parameters such increase in fat mass, decrease in muscle mass, increase visceral fat. With advancing age, the predominant feature develops which is more prevalent in diabetes. These changes in body composition should be monitored. The changes if monitored at an early age, can be well managed and proper interventions can be developed.  The study was conducted to observe the changes taking place in the body composition parameters in individuals with type II diabetes with varied duration of the disease.Methods: This cross- sectional study was done in 228 type II diabetic subjects from the clinics of the Mumbai and Pune. The baseline data was collected from the all the subjects coming to the clinic through the general questionnaire, Anthropometric measurements and Body composition analysis was done by the BIA principle-based Analyser.  Then these subjects were distributed according to the duration of the disease and then analysed.  The data was analysed using SPSS version 22 and mean values p values were obtained.Results: The results showed that there is statistically significant increase in fat mass, visceral fat and decrease in muscle mass.Conclusions: There is change in body composition parameters like decrease in muscle mass, increase in fat and visceral fat along with the increase in the duration of the disease.

scholarly journals Association of Skeletal Muscle and Adipose Tissue Distribution with Histologic Severity of Non-Alcoholic Fatty Liver

Diagnostics ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1061
Author(s):  
Min-Kyu Kang ◽  
Jung-Hun Baek ◽  
Young-Oh Kweon ◽  
Won-Young Tak ◽  
Se-Young Jang ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Body Composition ◽  
Adipose Tissue ◽  
Fatty Liver ◽  
The Body ◽  
Visceral Adiposity ◽  
Advanced Fibrosis ◽  
Cross Sectional ◽  
Alcoholic Fatty Liver ◽  
Skeletal Muscle Index

Adipose tissue and skeletal muscle is associated with non-alcoholic fatty liver disease (NAFLD). This study evaluates the association between body composition and histologic severity in patients with NAFLD. Using the cross-sectional CT images at the level of L3 vertebra and the histologic findings of 178 patients with biopsy-proven NAFLD, we analyzed the correlation of the histologic findings to the skeletal muscle index (SMI), subcutaneous adipose tissue index (SATI), and visceral adipose tissue index (VATI), which is defined as the body composition area (cm2) by height squared (m2). The clinical and laboratory features with body composition were analyzed to determine the risk factors for advanced fibrosis. The VATI significantly increased in severe non-alcoholic steatohepatitis (NASH) or advanced fibrosis. In addition, the VATI was correlated with the NAFLD activity score (NAS) and the fibrosis stage. In multivariate analyses, age (odds ratio (OR), 1.09; 95% confidence interval (CI), 1.02–1.19; p = 0.025), severe NASH (OR, 8.66; 95% CI, 2.13–46.40; p = 0.005), and visceral adiposity (OR, 6.77; 95% CI, 1.81–29.90; p = 0.007) were independently associated with advanced fibrosis in patients with NAFLD. Visceral adiposity is correlated with the histologic severity of NAFLD, which is independently associated with advanced fibrosis.

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 AB0176 PATHOLOGICAL PHENOTYPES OF BODY COMPOSITION IN PATIENTS WITH RHEUMATOID ARTHRITIS

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1114.1-1114
Author(s):  
A. Feklistov ◽  
N. Toroptsova ◽  
O. Nikitinskaya ◽  
A. Efremova ◽  
N. Demin
Keyword(s):  
Rheumatoid Arthritis ◽  
Body Composition ◽  
Adipose Tissue ◽  
Muscle Mass ◽  
The Body ◽  
Mineral Density ◽  
X Ray ◽  
Osteosarcopenic Obesity ◽  
Proximal Thigh ◽  
Appendicular Muscle Mass

Background:Inflammation, decreased physical activity, hormonal disorders, and the use of glucocorticoids lead to changes in the composition of the body in rheumatoid arthritis (RA). Various combinations of decreased muscle and bone mass and increased adipose tissue have led to the release of various pathological phenotypes of the composition of the body.Objectives:To determine the frequency of pathological phenotypes of body composition in patients with RA.Methods:The study included 79 women with RA, with a median age of 60 y.o. [55; 65]. 92% of the women were postmenopausal. The median duration of the disease was 9 years [3; 11]. Basic anti-inflammatory therapy was received by 81% of patients. Methotrexate was used most often as the basic therapy – in 52% of cases. 49% of patients were treated with glucocorticoid drugs. All patients underwent dual-energy X-ray absorptiometry. The mineral density of the tissues was determined in the standard measurement areas - the spine and the proximal thigh, and the content of muscle and adipose tissue was analyzed. We calculated appendicular muscle mass (AMM), which is the sum of upper and lower limb muscle mass and appendicular muscle index (AMI), the ratio of appendicular muscle mass to the square of height. AMM< 15 kg, AMI < 6 kg / m2 corresponds to sarcopenia.Results:The average AMM was 17.8±3.0 kg. 18% patients had AMM <15 kg / m2. The average AMI was 6.8±1.0 kg / m2. 25% patients had AMI < 6 kg/m2. The average body mass index (BMI) was 27.6±4.8 kg/m2. 37% patients were overweight (25≤ BMI <29.9 kg/m2), 28% of women had a BMI corresponding to obesity. The average fat content was 28.2 kg. 71% of women had an obesity, according to X-ray absorptiometry, which is 2.5 times higher than the number of cases of obesity detected by BMI. A decrease a bone mineral density (BMD) was found in 73% of women, including osteoporosis in 25%. The most frequent phenotype was osteopenic obesity (Table 1), which was detected in almost 40% of patients. Isolated osteoporosis (16.5%) and obesity (17.7%) and osteosarcopenic obesity (16.5%) were found with approximately the same frequency. Osteosarcopenia was found in 9% of patients. In 4%, no changes in the compositional composition of the human body were detected.Table 1.Pathological phenotypes of body compositionPathological phenotypes of body compositionn=79Osteoporosis, n (%)13 (16,5)Obesity, n (%)14 (17,7)Osteosarcopenia, n (%)7 (8,9)Osteopenic obesity, n (%)29 (36,7)Osteosarcopenic obesity, n (%)13 (16,5)Conclusion:The overall frequency of pathological phenotypes of body composition was high and amounted to 96.2% in women with RA. The most common pathological phenotype was an osteopenic obesity characterized by a decrease in BMD and an increase in fat mass.Disclosure of Interests:None declared

scholarly journals Changes in Children’s Body Composition and Posture during Puberty Growth

Children ◽  
2021 ◽  
Vol 8 (4) ◽  
pp. 288
Author(s):  
Wojciech Rusek ◽  
Joanna Baran ◽  
Justyna Leszczak ◽  
Marzena Adamczyk ◽  
Rafał Baran ◽  
...  
Keyword(s):  
Body Composition ◽  
Adipose Tissue ◽  
Regression Analysis ◽  
Body Mass ◽  
Pelvic Obliquity ◽  
The Body ◽  
Body Posture ◽  
Older Children ◽  
The Difference ◽  
The Right

The main goal of our study was to determine how the age of children, puberty and anthropometric parameters affect the formation of body composition and faulty body posture development in children. The secondary goal was to determine in which body segments abnormalities most often occur and how gender differentiates the occurrence of adverse changes in children’s body posture and body composition during puberty. The study group consisted of 464 schoolchildren aged from 6–16. Body posture was assessed with the Zebris system. The composition of the body mass was tested with Tanita MC 780 MA body mass analyzer and the body height was measured using a portable stadiometer PORTSTAND 210. The participants were further divided due to the age of puberty. Tanner division was adopted. The cut-off age for girls is ≥10 years and for boys it is ≥12 years. The analyses applied descriptive statistics, the Pearson correlation, stepwise regression analysis and the t-test. The accepted level of significance was p < 0.05. The pelvic obliquity was lower in older children (beta = −0.15). We also see that age played a significant role in the difference in the height of the right pelvis (beta = −0.28), and the difference in the height of the right shoulder (beta = 0.23). Regression analysis showed that the content of adipose tissue (FAT%) increased with body mass index (BMI) and decreased with increasing weight, age, and height. Moreover, the FAT% was lower in boys than in girls (beta negative equal to −0.39). It turned out that older children (puberty), had greater asymmetry in the right shoulder blade (p < 0.001) and right shoulder (p = 0.003). On the other hand, younger children (who were still before puberty) had greater anomalies in the left trunk inclination (p = 0.048) as well as in the pelvic obliquity (p = 0.008). Girls in puberty were characterized by greater asymmetry on the right side, including the shoulders (p = 0.001), the scapula (p = 0.001) and the pelvis (p < 0.001). In boys, the problem related only to the asymmetry of the shoulder blades (p < 0.001). Girls were characterized by a greater increase in adipose tissue and boys by muscle tissue. Significant differences also appeared in the body posture of the examined children. Greater asymmetry within scapulas and shoulders were seen in children during puberty. Therefore, a growing child should be closely monitored to protect them from the adverse consequences of poor posture or excessive accumulation of adipose tissue in the body.

scholarly journals Body composition and energy intake — skeletal muscle mass is the strongest predictor of food intake in obese adolescents: The HEARTY trial

2016 ◽  
Vol 41 (6) ◽  
pp. 611-617 ◽  
Author(s):  
Jameason D. Cameron ◽  
Ronald J. Sigal ◽  
Glen P. Kenny ◽  
Angela S. Alberga ◽  
Denis Prud’homme ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Body Composition ◽  
Body Weight ◽  
Muscle Mass ◽  
Energy Intake ◽  
Skeletal Muscle Mass ◽  
Fat Free Mass ◽  
Cross Sectional ◽  
Percentage Body Fat ◽  
Obese Adolescents

There has been renewed interest in examining the relationship between specific components of energy expenditure and the overall influence on energy intake (EI). The purpose of this cross-sectional analysis was to determine the strongest metabolic and anthropometric predictors of EI. It was hypothesized that resting metabolic rate (RMR) and skeletal muscle mass would be the strongest predictors of EI in a sample of overweight and obese adolescents. 304 post-pubertal adolescents (91 boys, 213 girls) aged 16.1 (±1.4) years with body mass index at or above the 95th percentile for age and sex OR at or above the 85th percentile plus an additional diabetes risk factor were measured for body weight, RMR (kcal/day) by indirect calorimetry, body composition by magnetic resonance imaging (fat free mass (FFM), skeletal muscle mass, fat mass (FM), and percentage body fat), and EI (kcal/day) using 3 day food records. Body weight, RMR, FFM, skeletal muscle mass, and FM were all significantly correlated with EI (p < 0.005). After adjusting the model for age, sex, height, and physical activity, only FFM (β = 21.9, p = 0.007) and skeletal muscle mass (β = 25.8, p = 0.02) remained as significant predictors of EI. FFM and skeletal muscle mass also predicted dietary protein and fat intake (p < 0.05), but not carbohydrate intake. In conclusion, with skeletal muscle mass being the best predictor of EI, our results support the hypothesis that the magnitude of the body’s lean tissue is related to absolute levels of EI in a sample of inactive adolescents with obesity.

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