Literature DB >> 27157852

DXA: Technical aspects and application.

Alberto Bazzocchi1, Federico Ponti2, Ugo Albisinni3, Giuseppe Battista4, Giuseppe Guglielmi5.   

Abstract

The key role of dual-energy X-ray absorptiometry (DXA) in the management of metabolic bone diseases is well known. The role of DXA in the study of body composition and in the clinical evaluation of disorders which directly or indirectly involve the whole metabolism as they may induce changes in body mass and fat percentage is less known or less understood. DXA has a range of clinical applications in this field, from assessing associations between adipose or lean mass and the risk of disease to understanding and measuring the effects of pathophysiological processes or therapeutic interventions, in both adult and paediatric human populations as well as in pre-clinical settings. DXA analyses body composition at the molecular level that is basically translated into a clinical model made up of fat mass, non-bone lean mass, and bone mineral content. DXA allows total and regional assessment of the three above-mentioned compartments, usually by a whole-body scan. Since body composition is a hot topic today, manufacturers have steered the development of DXA technology and methodology towards this. New DXA machines have been designed to accommodate heavier and larger patients and to scan wider areas. New strategies, such as half-body assessment, permit accurate body scan and analysis of individuals exceeding scan field limits. Although DXA is a projective imaging technique, new solutions have recently allowed the differential estimate of subcutaneous and intra-abdominal visceral fat. The transition to narrow fan-beam densitometers has led to faster scan times and better resolution; however, inter- or intra-device variation exists depending on several factors. The purposes of this review are: (1) to appreciate the role of DXA in the study of body composition; (2) to understand potential limitations and pitfalls of DXA in the analysis of body composition; (3) to learn about technical elements and methods, and to become familiar with biomarkers in DXA.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Absorptiometry; Biomarkers; Body composition; Health care; Photon; Quality assurance; Reference standard

Mesh:

Substances:

Year:  2016        PMID: 27157852     DOI: 10.1016/j.ejrad.2016.04.004

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  45 in total

1.  Long-Term Therapy with Corticosteroids in Nasal Polyposis: A Bone Metabolism Assessment.

Authors:  M Gelardi; F Barbara; I Covelli; M A Damiani; F Plantone; A Notarnicola; B Moretti; N Quaranta; G Ciprandi
Journal:  Indian J Otolaryngol Head Neck Surg       Date:  2018-08-01

2.  The Effects of Resistance Exercise on Biomarkers of Breast Cancer Prognosis: A Pooled Analysis of Three Randomized Trials.

Authors:  Kerri M Winters-Stone; Lisa J Wood; Sydnee Stoyles; Nathan F Dieckmann
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2017-11-15       Impact factor: 4.254

3.  Sparing effect of peritoneal dialysis vs hemodialysis on BMD changes and its impact on mortality.

Authors:  Ken Iseri; Abdul Rashid Qureshi; Jonaz Ripsweden; Olof Heimbürger; Peter Barany; Ingrid B Bergström; Peter Stenvinkel; Torkel B Brismar; Bengt Lindholm
Journal:  J Bone Miner Metab       Date:  2020-09-04       Impact factor: 2.626

4.  Association between site-specific bone mineral density and glucose homeostasis and anthropometric traits in healthy men and women.

Authors:  Se-Min Kim; Jinrui Cui; Jane Rhyu; Xiuqing Guo; Yii-Der I Chen; Willa A Hsueh; Jerome I Rotter; Mark O Goodarzi
Journal:  Clin Endocrinol (Oxf)       Date:  2018-04-14       Impact factor: 3.478

5.  Evaluation of body composition using dual-energy X-ray absorptiometry in patients with non-functioning adrenal incidentalomas and an intermediate phenotype: Is there an association with metabolic syndrome?

Authors:  A B Moraes; E M R Cavalari; M P de Paula; M Arruda; D S C Curi; R A Leitão; L M C de Mendonça; M L F Farias; M Madeira; L Vieira Neto
Journal:  J Endocrinol Invest       Date:  2018-11-21       Impact factor: 4.256

6.  Nomenclature and definition in asymmetric regional body overgrowth.

Authors:  Jennifer M Kalish; Leslie G Biesecker; Frederic Brioude; Matthew A Deardorff; Alessandra Di Cesare-Merlone; Todd Druley; Giovanni B Ferrero; Pablo Lapunzina; Lidia Larizza; Saskia Maas; Marina Macchiaiolo; Eamonn R Maher; Silvia Maitz; Julian A Martinez-Agosto; Alessandro Mussa; Peter Robinson; Silvia Russo; Angelo Selicorni; Raoul C Hennekam
Journal:  Am J Med Genet A       Date:  2017-05-05       Impact factor: 2.802

7.  Imaging of diabetic bone.

Authors:  Federico Ponti; Sara Guerri; Claudia Sassi; Giuseppe Battista; Giuseppe Guglielmi; Alberto Bazzocchi
Journal:  Endocrine       Date:  2017-03-14       Impact factor: 3.633

Review 8.  Osteoporosis: what the clinician needs to know?

Authors:  Rosario Francesco Balzano; Maria Mattera; Xiaoguang Cheng; Samantha Cornacchia; Giuseppe Guglielmi
Journal:  Quant Imaging Med Surg       Date:  2018-02

Review 9.  Quantitative imaging techniques for the assessment of osteoporosis and sarcopenia.

Authors:  Sara Guerri; Daniele Mercatelli; Maria Pilar Aparisi Gómez; Alessandro Napoli; Giuseppe Battista; Giuseppe Guglielmi; Alberto Bazzocchi
Journal:  Quant Imaging Med Surg       Date:  2018-02

10.  Diagnostic Value of Anthropometric Measurements for Familial Partial Lipodystrophy, Dunnigan Variety.

Authors:  Chandna Vasandani; Xilong Li; Hilal Sekizkardes; Beverley Adams-Huet; Rebecca J Brown; Abhimanyu Garg
Journal:  J Clin Endocrinol Metab       Date:  2020-07-01       Impact factor: 5.958

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.