Literature DB >> 31898402

Magnetic Resonance Imaging and Bioelectrical Impedance Analysis to Assess Visceral and Abdominal Adipose Tissue.

Oliver Chaudry1,2, Alexandra Grimm1, Andreas Friedberger1, Wolfgang Kemmler1, Michael Uder3, Franz Jakob4, Harald H Quick1,5,6, Simon von Stengel1, Klaus Engelke1,2.   

Abstract

OBJECTIVE: This study aimed to compare a state-of-the-art bioelectrical impedance analysis (BIA) device with two-point Dixon magnetic resonance imaging (MRI) for the quantification of visceral adipose tissue (VAT) as a health-related risk factor.
METHODS: A total of 63 male participants were measured using a 3-T MRI scanner and a segmental, multifrequency BIA device. MRI generated fat fraction (FF) maps, in which VAT volume, total abdominal adipose tissue volume, and FF of visceral and total abdominal compartments were quantified. BIA estimated body fat mass and VAT area.
RESULTS: Coefficients of determination between abdominal (r2  = 0.75) and visceral compartments (r2  = 0.78) were similar for both groups, but slopes differed by a factor of two. The ratio of visceral to total abdominal FF was increased in older men compared with younger men. This difference was not detected with BIA. MRI and BIA measurements of the total abdominal volume correlated moderately (r2  = 0.31-0.56), and visceral measurements correlated poorly (r2  = 0.13-0.44).
CONCLUSIONS: Visceral BIA measurements agreed better with MRI measurements of the total abdomen than of the visceral compartment, indicating that BIA visceral fat area assessment cannot differentiate adipose tissue between visceral and abdominal compartments in young and older participants.
© 2020 The Authors. Obesity published by Wiley Periodicals, Inc. on behalf of The Obesity Society (TOS).

Entities:  

Mesh:

Year:  2020        PMID: 31898402     DOI: 10.1002/oby.22712

Source DB:  PubMed          Journal:  Obesity (Silver Spring)        ISSN: 1930-7381            Impact factor:   5.002


  6 in total

1.  Association Between the Cardiometabolic Index and Hyperuricemia in an Asymptomatic Population with Normal Body Mass Index.

Authors:  Yu-Qiang Zuo; Zhi-Hong Gao; Yu-Ling Yin; Xu Yang; Ping-Yong Feng
Journal:  Int J Gen Med       Date:  2021-11-23

2.  Association of diet quality, physical activity, and abdominal obesity with metabolic syndrome z-score in black and white adolescents in the US.

Authors:  Suzanne S Summer; Todd Jenkins; Thomas Inge; Ranjan Deka; Jane C Khoury
Journal:  Nutr Metab Cardiovasc Dis       Date:  2021-11-06       Impact factor: 4.222

3.  Triglyceride Glucose Index Is More Closely Related to Hyperuricemia Than Obesity Indices in the Medical Checkup Population in Xinjiang, China.

Authors:  Mayina Kahaer; Bei Zhang; Wujin Chen; Meiting Liang; Yi He; Miao Chen; Rui Li; Tingting Tian; Cheng Hu; Yuping Sun
Journal:  Front Endocrinol (Lausanne)       Date:  2022-03-02       Impact factor: 5.555

4.  Relationship between metabolic syndrome and follicle-stimulating hormone in postmenopausal women.

Authors:  Suk Woo Lee; In Sun Hwang; Gyul Jung; Hee Jin Kang; Yoo Hyun Chung
Journal:  Medicine (Baltimore)       Date:  2022-05-06       Impact factor: 1.817

5.  The Role of Bioelectrical Impedance Analysis in Predicting COVID-19 Outcome.

Authors:  Djordje Stevanovic; Vladimir Zdravkovic; Mina Poskurica; Marina Petrovic; Ivan Cekerevac; Nemanja Zdravkovic; Sara Mijailovic; Dusan Todorovic; Ana Divjak; Dunja Bozic; Milos Marinkovic; Aleksandra Jestrovic; Anja Azanjac; Vladimir Miloradovic
Journal:  Front Nutr       Date:  2022-07-11

6.  Adipose tissue dysfunction, inflammation, and insulin resistance: alternative pathways to cardiac remodelling in schizophrenia. A multimodal, case-control study.

Authors:  Emanuele F Osimo; Mark Sweeney; Antonio de Marvao; Alaine Berry; Ben Statton; Benjamin I Perry; Toby Pillinger; Thomas Whitehurst; Stuart A Cook; Declan P O'Regan; E Louise Thomas; Oliver D Howes
Journal:  Transl Psychiatry       Date:  2021-12-06       Impact factor: 6.222

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.