PP033-SUN: Comparison between Computed Tomography and Predictive Equations in Estimating Lean Body Mass: Preliminary Results

2014 ◽  
Vol 33 ◽  
pp. S31
Author(s):  
L. Moisey ◽  
M. Mourtzakis ◽  
R. Kozar ◽  
C. Compher ◽  
D. Heyland
2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Jinhua Li ◽  
Jingjie Shang ◽  
Bin Guo ◽  
Jian Gong ◽  
Hao Xu

Aim. To develop predictive equations of lean body mass (LBM) suitable for healthy southern Chinese adults with a large sample. LBM measured by dual-energy X-ray absorptiometry (DXA) are considered as the standard ones. Methods. Retrospective analysis was conducted on the consecutive people who did total body measurement with DXA from July 2005 to October 2015. People with diseases that might affect LBM were excluded and overall 12,194 subjects were included in this study. Information about the 10,683 subjects (2,987 males and 7,696 females) from July 2005 to November 2014 was used to establish equations. These subjects were grouped by sex and then subdivided according to their body mass index (BMI). The female group was divided into another two subgroups: the premenopausal and postmenopausal subgroups. Equations were developed through stepwise multilinear regression analysis of height, weight, age, and BMI. Information about the 1,511 subjects (395 males and 1116 females) from December 2014 to October 2015 was used to verify the established equations. Results. BMI, height, weight, and age were introduced into the equations as independent variables in the male group, while age was proved to have no influence on LBM in the female group. Regrouping according to BMI or menopause did not increase the predictive ability of equations. Good agreement between LBM evaluated by equation (LBM_PE) and LBM measured by DXA (LBM_DXA) was observed in both the male and female groups. Conclusion. Predictive equations of LBM suitable for healthy southern Chinese adults are established with a large sample. BMI was related to LBM content; however, there is no need for further group based on BMI or menopause while developing LBM questions.


2015 ◽  
Vol 43 (5) ◽  
pp. 417-422 ◽  
Author(s):  
Lanier B. Jackson ◽  
Melissa H. Henshaw ◽  
Janet Carter ◽  
Shahryar M. Chowdhury

2019 ◽  
Vol 52 (6) ◽  
pp. 356-360
Author(s):  
Almir Galvão Vieira Bitencourt ◽  
Thais Manfrinato Miola ◽  
Juliana de Oliveira Souza ◽  
Elizabeth Launeir Santos da Conceição ◽  
Felipe José Fernandez Coimbra ◽  
...  

Abstract Objective: To determine whether preoperative anthropometric and computed tomography (CT) measurements of body composition can predict postoperative morbidity and mortality in patients with gastric or esophageal cancer. Materials and Methods: This was a retrospective study in which we reviewed the medical records and abdominal CT scans of patients with gastric or esophageal cancer who underwent surgery in 2015 at a cancer center. CT scans performed during routine preoperative evaluation were retrospectively assessed to measure the area of lean body mass at the level of the third lumbar vertebra, as well as the area of visceral and subcutaneous fat. Results: Seventy patients were included in the study. The mean age was 59.9 years (range, 33-82 years), and 47 patients (67.1%) were men. The mean postoperative follow-up period was 14.9 months. Neither postoperative morbidity nor postoperative mortality correlated significantly with gender, age, the type of primary tumor, the presence of comorbidities, smoking status, body mass index, nutritional status, or visceral fat area. The survival rate was higher for patients with normal lean body mass than for those with low lean body mass (hazard ratio = 0.116; 95% confidence interval: 0.015-0.906; p = 0.040). Conclusion: Our data suggest that lean body mass can be a relevant prognostic factor in patients with gastric or esophageal cancer, and that CT measurements should be included in the routine preoperative evaluation, because it may provide information that aids nutritional and clinical care for these patients.


2018 ◽  
Vol 28 ◽  
pp. 259
Author(s):  
Konstantinos C. Fragkos ◽  
Kenneth Cheung ◽  
Debbie Thong ◽  
Niamh Keane ◽  
Shameer Mehta ◽  
...  

1984 ◽  
Vol 66 (6) ◽  
pp. 683-689 ◽  
Author(s):  
R. J. Maughan ◽  
J. S. Watson ◽  
J. Weir

1. Computed tomography has been used to establish the proportions of fat, muscle and bone present in the normal human forearm. 2. Subjects were healthy young volunteers, eight males and eight females. A series of six cross-sectional scans at right angles to the long axis of the forearm was obtained, the scans being made at equidistant intervals between the olecranon process and the ulnar styloid. 3. The volumes occupied by fat, muscle and bone were calculated for the complete forearm. Total forearm volume calculated by this method agreed closely with that measured by water displacement. 4. For the male subjects, forearm composition was 72.1 ± 4.4% muscle (mean ± SD), 15.0 ± 5.3% fat and 12.9 ± 1.2% bone. Female forearms had less muscle (P<0.001) and more fat (P<0.001) than those of the male subjects: 58.5 ± 4.0% muscle, 29.3 ± 5.0% fat and 12.3 ± 1.4% bone. 5. Forearm muscle volume was significantly correlated (r= 0.75; P<0.05) with lean body mass in the male subjects; the range of values for lean body mass in the female subjects was too small to permit calculation of the equivalent relationship. 6. Forearm fat content, as a percentage of total volume, was proportional to whole body fat content as estimated from skinfold thickness (males, r = 0.84; P< 0.01; females, r = 0.77; P< 0.05).


2018 ◽  
Vol 39 (6) ◽  
pp. 521-526
Author(s):  
Joke Devriese ◽  
Laurence Beels ◽  
Alex Maes ◽  
Christophe van de Wiele ◽  
Hans Pottel

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