Literature DB >> 15310748

Total body skeletal muscle and adipose tissue volumes: estimation from a single abdominal cross-sectional image.

Wei Shen1, Mark Punyanitya, ZiMian Wang, Dympna Gallagher, Marie-Pierre St-Onge, Jeanine Albu, Steven B Heymsfield, Stanley Heshka.   

Abstract

A single abdominal cross-sectional computerized axial tomography and magnetic resonance image is often obtained in studies examining adipose tissue (AT) distribution. An abdominal image might also provide additional useful information on total body skeletal muscle (SM) and AT volumes with related physiological insights. We therefore investigated the relationships between abdominal SM and AT areas from single images and total body component volumes in a large and diverse sample of healthy adult subjects. Total body SM and AT volumes were derived by whole body multislice magnetic resonance imaging in 123 men [age (mean +/- SD) of 41.6 +/- 15.8 yr; body mass index of 25.9 +/- 3.4 kg/m(2)] and 205 women (age of 47.8 +/- 18.7 yr; body mass index of 26.7 +/- 5.6 kg/m(2)). Single abdominal SM and AT slice areas were highly correlated with total body SM (r = 0.71-0.92; r = 0.90 at L(4)-L(5) intervertebral space) and AT (r = 0.84-0.96; r = 0.94 at L(4)-L(5) intervertebral space) volumes, respectively. R(2) increased by only 5.7-6.1% for SM and 2.7-4.4% for AT with the inclusion of subject sex, age, ethnicity, scanning position, body mass index, and waist circumference in the model. The developed SM and AT models were validated in an additional 49 subjects. To achieve equivalent power to a study measuring total body SM or AT volumes, a study using a single abdominal image would require 17-24% more subjects for SM and 6-12% more subjects for AT. Measurement of a single abdominal image can thus provide estimates of total body SM and AT for group studies of healthy adults.

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Year:  2004        PMID: 15310748     DOI: 10.1152/japplphysiol.00744.2004

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  444 in total

1.  Muscle segmentation in axial computed tomography (CT) images at the lumbar (L3) and thoracic (T4) levels for body composition analysis.

Authors:  Setareh Dabiri; Karteek Popuri; Elizabeth M Cespedes Feliciano; Bette J Caan; Vickie E Baracos; Mirza Faisal Beg
Journal:  Comput Med Imaging Graph       Date:  2019-05-09       Impact factor: 4.790

2.  Preoperative computed tomography assessment of skeletal muscle mass is valuable in predicting outcomes following hepatectomy for perihilar cholangiocarcinoma.

Authors:  Robert J S Coelen; Jimme K Wiggers; Chung Y Nio; Marc G Besselink; Olivier R C Busch; Dirk J Gouma; Thomas M van Gulik
Journal:  HPB (Oxford)       Date:  2015-02-28       Impact factor: 3.647

3.  Imaging skeletal muscle volume, density, and FDG uptake before and after induction therapy for non-small cell lung cancer.

Authors:  M D Goncalves; S Taylor; D F Halpenny; E Schwitzer; S Gandelman; J Jackson; A Lukose; A J Plodkowski; K S Tan; M Dunphy; L W Jones; R J Downey
Journal:  Clin Radiol       Date:  2018-01-06       Impact factor: 2.350

4.  A North American Expert Opinion Statement on Sarcopenia in Liver Transplantation.

Authors:  Elizabeth J Carey; Jennifer C Lai; Christopher Sonnenday; Elliot B Tapper; Puneeta Tandon; Andres Duarte-Rojo; Michael A Dunn; Cynthia Tsien; Eric R Kallwitz; Vicky Ng; Srinivasan Dasarathy; Matthew Kappus; Mustafa R Bashir; Aldo J Montano-Loza
Journal:  Hepatology       Date:  2019-08-19       Impact factor: 17.425

5.  Skeletal muscle loss during systemic chemotherapy for colorectal cancer indicates treatment response: a pooled analysis of a multicenter clinical trial (KSCC 1605-A).

Authors:  Shun Sasaki; Eiji Oki; Hiroshi Saeki; Takayuki Shimose; Sanae Sakamoto; Qingjiang Hu; Kensuke Kudo; Yasuo Tsuda; Yuichiro Nakashima; Koji Ando; Yoshito Akagi; Yoshihiro Kakeji; Hideo Baba; Yoshihiko Maehara
Journal:  Int J Clin Oncol       Date:  2019-05-06       Impact factor: 3.402

6.  Change in Skeletal Muscle Following Resection of Stage I-III Colorectal Cancer is Predictive of Poor Survival: A Cohort Study.

Authors:  Jessica J Hopkins; Rebecca Reif; David Bigam; Vickie E Baracos; Dean T Eurich; Michael M Sawyer
Journal:  World J Surg       Date:  2019-10       Impact factor: 3.352

7.  Relationship between MRI-measured bone marrow adipose tissue and hip and spine bone mineral density in African-American and Caucasian participants: the CARDIA study.

Authors:  Wei Shen; Rebecca Scherzer; Madeleine Gantz; Jun Chen; Mark Punyanitya; Cora E Lewis; Carl Grunfeld
Journal:  J Clin Endocrinol Metab       Date:  2012-02-08       Impact factor: 5.958

8.  Preliminary investigation of brown adipose tissue assessed by PET/CT and cancer activity.

Authors:  Stijn A Bos; Corey M Gill; Edgar L Martinez-Salazar; Martin Torriani; Miriam A Bredella
Journal:  Skeletal Radiol       Date:  2018-09-13       Impact factor: 2.199

9.  Deep learning method for localization and segmentation of abdominal CT.

Authors:  Setareh Dabiri; Karteek Popuri; Cydney Ma; Vincent Chow; Elizabeth M Cespedes Feliciano; Bette J Caan; Vickie E Baracos; Mirza Faisal Beg
Journal:  Comput Med Imaging Graph       Date:  2020-08-14       Impact factor: 4.790

10.  Weight loss versus muscle loss: re-evaluating inclusion criteria for future cancer cachexia interventional trials.

Authors:  Eric J Roeland; Joseph D Ma; Sandahl H Nelson; Tyler Seibert; Sean Heavey; Carolyn Revta; Andrea Gallivan; Vickie E Baracos
Journal:  Support Care Cancer       Date:  2016-09-15       Impact factor: 3.603

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