Literature DB >> 23871847

Assessment of regional adipose tissue depots: a DXA and CT comparison in cadavers of elderly persons.

Aldo Scafoglieri1, Rudi Deklerck, Jonathan Tresignie, Johan De Mey, Jan Pieter Clarys, Ivan Bautmans.   

Abstract

OBJECTIVE: Since dual energy X-ray absorptiometry (DXA) cannot distinguish between different adipose tissue (AT) deposits, it remains unclear how DXA-derived body composition variables relate to anatomical tissue (sub)compartments. The aim of the present study was to compare and relate regional DXA variables with absolute tissue masses obtained by computer tomography (CT) scanning of the lower limbs in elderly persons.
METHODS: Eleven well-preserved white Caucasian adults (seven male and four female cadavers) with a median age of 79.0 years (ranging from 68 to 96 years) were fully scanned with DXA and CT. Separate densities of skin tissue, AT, muscle tissue and bone were obtained by hydrostatic weighing.
RESULTS: The leg DXA-variables were significantly related (rho-values between 0.60 and 0.98, P < 0.01) to CT-derived tissue counterparts, but showed significant systematic differences except for subcutaneous AT mass (P = 0.773). After controlling for other AT depots, fat as measured by DXA (fat(DXA)) related only to intermuscular AT (rho = 0.82, P < 0.01) in males and to subcutaneous AT (rho = 0.84, P < 0.05) in females.
CONCLUSION: Although significantly interrelated, DXA and CT variables should not be used interchangeably since they have different quantitative and physiological significance. Our results suggest that fat(DXA) represents different parts of AT depots in elderly men and women. Since DXA is not appropriate for assessing tissue variability cautious clinical interpretation is warranted.
© 2013.

Entities:  

Keywords:  Computer tomography; Density; Dual energy X-ray absorptiometry; Sampling; Tissue

Mesh:

Year:  2013        PMID: 23871847     DOI: 10.1016/j.exger.2013.07.005

Source DB:  PubMed          Journal:  Exp Gerontol        ISSN: 0531-5565            Impact factor:   4.032


  9 in total

Review 1.  Use of anthropometry for the prediction of regional body tissue distribution in adults: benefits and limitations in clinical practice.

Authors:  Aldo Scafoglieri; Jan Pieter Clarys; Erik Cattrysse; Ivan Bautmans
Journal:  Aging Dis       Date:  2013-12-15       Impact factor: 6.745

2.  Body composition by DXA.

Authors:  John A Shepherd; Bennett K Ng; Markus J Sommer; Steven B Heymsfield
Journal:  Bone       Date:  2017-06-16       Impact factor: 4.398

3.  Chest Fat Quantification via CT Based on Standardized Anatomy Space in Adult Lung Transplant Candidates.

Authors:  Yubing Tong; Jayaram K Udupa; Drew A Torigian; Dewey Odhner; Caiyun Wu; Gargi Pednekar; Scott Palmer; Anna Rozenshtein; Melissa A Shirk; John D Newell; Mary Porteous; Joshua M Diamond; Jason D Christie; David J Lederer
Journal:  PLoS One       Date:  2017-01-03       Impact factor: 3.240

4.  Dual energy X-ray absorptiometry: gold standard for muscle mass?

Authors:  Aldo Scafoglieri; Jan Pieter Clarys
Journal:  J Cachexia Sarcopenia Muscle       Date:  2018-05-22       Impact factor: 12.910

5.  Comparative Meta-Analysis of the Effect of Concentrated, Hydrolyzed, and Isolated Whey Protein Supplementation on Body Composition of Physical Activity Practitioners.

Authors:  Luis Henrique A Castro; Flávio Henrique S de Araújo; Mi Ye M Olimpio; Raquel B de B Primo; Thiago T Pereira; Luiz Augusto F Lopes; Erasmo B S de M Trindade; Ricardo Fernandes; Silvia A Oesterreich
Journal:  Nutrients       Date:  2019-09-02       Impact factor: 5.717

Review 6.  Molecular Mechanisms of Inflammation in Sarcopenia: Diagnosis and Therapeutic Update.

Authors:  Guadalupe Elizabeth Jimenez-Gutierrez; Laura Edith Martínez-Gómez; Carlos Martínez-Armenta; Carlos Pineda; Gabriela Angélica Martínez-Nava; Alberto Lopez-Reyes
Journal:  Cells       Date:  2022-08-01       Impact factor: 7.666

7.  Frequency analysis of ultrasonic echo intensities of the skeletal muscle in elderly and young individuals.

Authors:  Ken Nishihara; Hisashi Kawai; Hiroyuki Hayashi; Hideo Naruse; Akihiko Kimura; Toshiaki Gomi; Fumihiko Hoshi
Journal:  Clin Interv Aging       Date:  2014-09-05       Impact factor: 4.458

8.  Ultrasound-Derived Abdominal Muscle Thickness Better Detects Metabolic Syndrome Risk in Obese Patients than Skeletal Muscle Index Measured by Dual-Energy X-Ray Absorptiometry.

Authors:  Ayumi Ido; Yuki Nakayama; Kojiro Ishii; Motoyuki Iemitsu; Koji Sato; Masahiro Fujimoto; Toshiyuki Kurihara; Takafumi Hamaoka; Noriko Satoh-Asahara; Kiyoshi Sanada
Journal:  PLoS One       Date:  2015-12-23       Impact factor: 3.240

9.  Pitfalls in the measurement of muscle mass: a need for a reference standard.

Authors:  Fanny Buckinx; Francesco Landi; Matteo Cesari; Roger A Fielding; Marjolein Visser; Klaus Engelke; Stefania Maggi; Elaine Dennison; Nasser M Al-Daghri; Sophie Allepaerts; Jurgen Bauer; Ivan Bautmans; Maria Luisa Brandi; Olivier Bruyère; Tommy Cederholm; Francesca Cerreta; Antonio Cherubini; Cyrus Cooper; Alphonso Cruz-Jentoft; Eugene McCloskey; Bess Dawson-Hughes; Jean-Marc Kaufman; Andrea Laslop; Jean Petermans; Jean-Yves Reginster; René Rizzoli; Sian Robinson; Yves Rolland; Ricardo Rueda; Bruno Vellas; John A Kanis
Journal:  J Cachexia Sarcopenia Muscle       Date:  2018-01-19       Impact factor: 12.910

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.