Literature DB >> 25315495

In vivo precision of the GE Lunar iDXA for the measurement of visceral adipose tissue in adults: the influence of body mass index.

M G Mellis1, B Oldroyd2, K Hind1.   

Abstract

CoreScan is a new software for the GE Lunar iDXA, which provides a quantification of visceral adipose tissue (VAT). The objective of this study was to determine the in vivo precision of CoreScan for the measurement of VAT mass in a heterogeneous group of adults. Forty-five adults (aged 34.6 (8.6) years), ranging widely in body mass index (BMI 26.0 (5.2)  kg/m(2); 16.7-42.4 kg/m(2)), received two consecutive total body scans with repositioning. The sample was divided into two subgroups based on BMI, normal-weight and overweight/obese, for precision analyses. Subgroup analyses revealed that precision errors (RMSSD:%CV; root mean square standard deviation:% coefficient of variation) for VAT mass were 20.9 g:17.0% in the normal-weight group and 43.7 g:5.4% in overweight/obese groups. Our findings indicate that precision for DXA-VAT mass measurements increases with BMI, but caution should be used with %CV-derived precision error in normal BMI subjects.

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Year:  2014        PMID: 25315495     DOI: 10.1038/ejcn.2014.213

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  8 in total

1.  Precision of a new tool to measure visceral adipose tissue (VAT) using dual-energy X-Ray absorptiometry (DXA).

Authors:  Megan P Rothney; Yi Xia; Wynn K Wacker; Francois-Pierre Martin; Maurice Beaumont; Serge Rezzi; Vittorio Giusti; David L Ergun
Journal:  Obesity (Silver Spring)       Date:  2013-01       Impact factor: 5.002

Review 2.  Visceral adiposity as a target for the management of the metabolic syndrome.

Authors:  Ken Kishida; Tohru Funahashi; Yuji Matsuzawa; Iichiro Shimomura
Journal:  Ann Med       Date:  2011-05-25       Impact factor: 4.709

3.  Comparing two methods of clinical measurement: a personal history.

Authors:  J M Bland; D G Altman
Journal:  Int J Epidemiol       Date:  1995       Impact factor: 7.196

4.  Precision of the iDXA for visceral adipose tissue measurement in severely obese patients.

Authors:  Tamara E Carver; Olivier Court; Nicolas V Christou; Ryan E R Reid; Ross E Andersen
Journal:  Med Sci Sports Exerc       Date:  2014-07       Impact factor: 5.411

5.  Visceral fat is an independent predictor of all-cause mortality in men.

Authors:  Jennifer L Kuk; Peter T Katzmarzyk; Milton Z Nichaman; Timothy S Church; Steven N Blair; Robert Ross
Journal:  Obesity (Silver Spring)       Date:  2006-02       Impact factor: 5.002

6.  In vivo precision of the GE Lunar iDXA densitometer for the measurement of total body composition and fat distribution in adults.

Authors:  K Hind; B Oldroyd; J G Truscott
Journal:  Eur J Clin Nutr       Date:  2010-09-15       Impact factor: 4.016

7.  Cross-calibration of GE/Lunar pencil and fan-beam dual energy densitometers--bone mineral density and body composition studies.

Authors:  B Oldroyd; A H Smith; J G Truscott
Journal:  Eur J Clin Nutr       Date:  2003-08       Impact factor: 4.016

8.  Dual-energy X-ray absorptiometry for quantification of visceral fat.

Authors:  Sanjiv Kaul; Megan P Rothney; Dawn M Peters; Wynn K Wacker; Cynthia E Davis; Michael D Shapiro; David L Ergun
Journal:  Obesity (Silver Spring)       Date:  2012-01-26       Impact factor: 5.002

  8 in total
  6 in total

1.  Precision of the Hologic DXA in the Assessment of Visceral Adipose Tissue.

Authors:  Elijah K Goldberg; Ellen B Fung
Journal:  J Clin Densitom       Date:  2019-03-20       Impact factor: 2.617

2.  Visceral fat reference values derived from healthy European men and women aged 20-30 years using GE Healthcare dual-energy x-ray absorptiometry.

Authors:  Tomasz Miazgowski; Robert Kucharski; Marta Sołtysiak; Aleksandra Taszarek; Bartosz Miazgowski; Krystyna Widecka
Journal:  PLoS One       Date:  2017-07-06       Impact factor: 3.240

3.  Prediction of whole-body fat percentage and visceral adipose tissue mass from five anthropometric variables.

Authors:  Michelle G Swainson; Alan M Batterham; Costas Tsakirides; Zoe H Rutherford; Karen Hind
Journal:  PLoS One       Date:  2017-05-11       Impact factor: 3.240

4.  Reliability of Compartmental Body Composition Measures in Weight-Stable Adults Using GE iDXA: Implications for Research and Practice.

Authors:  Aimee L Dordevic; Maxine Bonham; Ali Ghasem-Zadeh; Alison Evans; Elizabeth Barber; Kaitlin Day; Alastair Kwok; Helen Truby
Journal:  Nutrients       Date:  2018-10-12       Impact factor: 5.717

5.  Targeting body composition in an older population: do changes in movement behaviours matter? Longitudinal analyses in the PREDIMED-Plus trial.

Authors:  Aina M Galmes-Panades; Jadwiga Konieczna; Veronica Varela-Mato; Itziar Abete; Nancy Babio; Miquel Fiol; José Antonio de Paz; Rosa Casas; Romina Olbeyra; Miguel Ruiz-Canela; Antoni Palau-Galindo; Olga Castañer; Arturo Martín-García; Ramón Estruch; Josep Vidal; Pilar Buil-Cosiales; Julia Wärnberg; Jordi Salas-Salvadó; J Alfredo Martínez; Dora Romaguera
Journal:  BMC Med       Date:  2021-01-06       Impact factor: 8.775

6.  Comparison of regional fat measurements by dual-energy X-ray absorptiometry and conventional anthropometry and their association with markers of diabetes and cardiovascular disease risk.

Authors:  S K Vasan; C Osmond; D Canoy; C Christodoulides; M J Neville; C Di Gravio; C H D Fall; F Karpe
Journal:  Int J Obes (Lond)       Date:  2017-11-20       Impact factor: 5.095

  6 in total

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