Literature DB >> 12794229

Clinical applications of body composition measurements using DXA.

Carlina V Albanese1, Evelyn Diessel, Harry K Genant.   

Abstract

Dual-energy X-ray absorptiometry (DXA) scanning was primarily developed for the diagnosis of osteoporosis and was initially applied to studies of the clinically important sites of the lumbar spine, femoral neck, and forearm. The rapid adoption of DXA has led to the development of different, competing generations of equipment. Improvements have been achieved through advances in X-ray generation and detection technology, modification of data acquisition protocols, and implementation of more sophisticated image analysis algorithms. As a result, DXA has been extended to allow the study of the total skeleton and its regional parts, as well as soft-tissue composition measurement. The three major components of the body: fat mass, lean mass, and bone mineral mass, can now be easily measured using a single whole body DXA scan with high precision and low scanning time. The comprehensive view of body composition provided by DXA makes it an attractive technique for a variety of clinical applications such as the prevention of cardiovascular and metabolic diseases, clinical management of different chronic diseases, and monitoring of the impact of treatment regimens on body tissues. In this article we review the contribution DXA has made to the understanding of body composition in clinical studies in adults.

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Year:  2003        PMID: 12794229     DOI: 10.1385/jcd:6:2:75

Source DB:  PubMed          Journal:  J Clin Densitom        ISSN: 1094-6950            Impact factor:   2.963


  61 in total

1.  No association of obesity gene FTO with body composition at the age of 6 months. The Generation R Study.

Authors:  D O Mook-Kanamori; L Ay; A Hofman; C M van Duijn; H A Moll; H Raat; A C S Hokken-Koelega; V W V Jaddoe
Journal:  J Endocrinol Invest       Date:  2010-05-28       Impact factor: 4.256

2.  Well-nourished cystic fibrosis patients have normal mineral density, but reduced cortical thickness at the forearm.

Authors:  O Louis; P Clerinx; I Gies; E De Wachter; J De Schepper
Journal:  Osteoporos Int       Date:  2008-06-07       Impact factor: 4.507

3.  Dual-energy x-ray absorptiometry in obesity.

Authors:  Alberto Bazzocchi; Danila Diano
Journal:  CMAJ       Date:  2013-07-02       Impact factor: 8.262

Review 4.  Diagnostic imaging in the management of patients with metabolic syndrome.

Authors:  Seo Rin Kim; Lilach O Lerman
Journal:  Transl Res       Date:  2017-11-22       Impact factor: 7.012

5.  Four-compartment cellular level body composition model: comparison of two approaches.

Authors:  Wei Shen; Marie-Pierre St-Onge; Angelo Pietrobelli; Jack Wang; ZiMian Wang; Stanley Heshka; Steven B Heymsfield
Journal:  Obes Res       Date:  2005-01

Review 6.  Imaging technologies for assessment of skeletal health in men.

Authors:  E Michael Lewiecki
Journal:  Curr Osteoporos Rep       Date:  2013-03       Impact factor: 5.096

7.  Visceral fat mass determination in rodent: validation of dual-energy X-ray absorptiometry and anthropometric techniques in fat and lean rats.

Authors:  Maude Gerbaix; Lore Metz; Emeline Ringot; Daniel Courteix
Journal:  Lipids Health Dis       Date:  2010-12-09       Impact factor: 3.876

8.  Meta-analysis of genome-wide association data identifies novel susceptibility loci for obesity.

Authors:  Yu-Fang Pei; Lei Zhang; Yongjun Liu; Jian Li; Hui Shen; Yao-Zhong Liu; Qing Tian; Hao He; Shuyan Wu; Shu Ran; Yingying Han; Rong Hai; Yong Lin; Jingying Zhu; Xue-Zhen Zhu; Christopher J Papasian; Hong-Wen Deng
Journal:  Hum Mol Genet       Date:  2013-09-23       Impact factor: 6.150

9.  Decline and Peripheral Redistribution of Fat Mass in Old Age - A Four-Year Prospective Study in 3018 Older Community-Living Adults.

Authors:  T W AuYeung; J Leung; R Yu; J S W Lee; T Kwok; J Woo
Journal:  J Nutr Health Aging       Date:  2018       Impact factor: 4.075

Review 10.  Sarcopenia: etiology, clinical consequences, intervention, and assessment.

Authors:  T Lang; T Streeper; P Cawthon; K Baldwin; D R Taaffe; T B Harris
Journal:  Osteoporos Int       Date:  2009-09-25       Impact factor: 4.507

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