Adipose tissue distribution measured by magnetic resonance imaging in obese women

1993 ◽  
Vol 57 (4) ◽  
pp. 470-475 ◽  
Author(s):  
R Ross ◽  
K D Shaw ◽  
Y Martel ◽  
J de Guise ◽  
L Avruch
Keyword(s):  
Magnetic Resonance Imaging ◽  
Adipose Tissue ◽  
Magnetic Resonance ◽  
Tissue Distribution ◽  
Obese Women ◽  
Resonance Imaging ◽  
Adipose Tissue Distribution

Determination of Total and Regional Adipose Tissue Distribution by Magnetic Resonance Imaging in Android Women

1993 ◽  
pp. 177-180
Author(s):  
Robert Ross ◽  
Kimberley D. Shaw ◽  
Yves Martel ◽  
Jacques de Guise ◽  
Robert Hudson ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Adipose Tissue ◽  
Magnetic Resonance ◽  
Tissue Distribution ◽  
Resonance Imaging ◽  
Adipose Tissue Distribution

Analysis of adipose tissue distribution using whole-body magnetic resonance imaging

2011 ◽  
Author(s):  
Diana Wald ◽  
Tobias Schwarz ◽  
Julien Dinkel ◽  
Stefan Delorme ◽  
Birgit Teucher ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Adipose Tissue ◽  
Magnetic Resonance ◽  
Tissue Distribution ◽  
Whole Body ◽  
Resonance Imaging ◽  
Adipose Tissue Distribution ◽  
Body Magnetic Resonance Imaging

scholarly journals Magnetic Resonance Imaging of Adipose Tissue in Metabolic Dysfunction

2018 ◽  
Vol 190 (12) ◽  
pp. 1121-1130 ◽  
Author(s):  
Daniela Franz ◽  
Jan Syväri ◽  
Dominik Weidlich ◽  
Thomas Baum ◽  
Ernst Rummeny ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Adipose Tissue ◽  
Magnetic Resonance ◽  
Tissue Distribution ◽  
Keyword Search ◽  
Contrast Material ◽  
Metabolic Dysfunction ◽  
Resonance Imaging ◽  
Direct Evaluation ◽  
Adipose Tissue Distribution

Background Adipose tissue has become an increasingly important tissue target in medicine. It plays a central role in the storage and release of energy throughout the human body and has recently gained interest for its endocrinologic function. Magnetic resonance imaging (MRI) is an established method for quantitative direct evaluation of adipose tissue distribution, and is used increasingly as the modality of choice for metabolic phenotyping. The purpose of this review was the identification and presentation of the currently available literature on MRI of adipose tissue in metabolic dysfunction. Method A PubMed (http://www.ncbi.nlm.nih.gov/pubmed) keyword search up to August 2017 without starting date limitation was performed and reference lists of relevant articles were searched. Results and Conclusion MRI provides excellent tools for the evaluation of adipose tissue distribution and further characterization of the tissue. Standard as well as newly developed MRI techniques allow a risk stratification for the development of metabolic dysfunction and enable monitoring without the use of ionizing radiation or contrast material. Key points  Citation Format

Irisin induces white adipose tissue browning in mice as assessed by magnetic resonance imaging

2021 ◽  
pp. 153537022110060
Author(s):  
Yue Chen ◽  
Jie Ding ◽  
Yufei Zhao ◽  
Shenghong Ju ◽  
Hui Mao ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Adipose Tissue ◽  
Magnetic Resonance ◽  
White Adipose Tissue ◽  
High Fat Diet ◽  
Chow Diet ◽  
Resonance Imaging ◽  
High Fat ◽  
White Adipocytes ◽  
Fat Fraction

This study aimed to track and evaluate the effect of low-dose irisin on the browning of white adipose tissue (WAT) in mice using magnetic resonance imaging (MRI) noninvasively in vivo. Mature white adipocytes extracted from mice were cultured, induced and characterized before being treated by irisin. The volume and fat fraction of WAT were quantified using MRI in normal chow diet and high fat mice after injection of irisin. The browning of cultured white adipocytes and WAT in mice were validated by immunohistochemistry and western blotting for uncoupling protein 1 (UCP1) and deiodinase type II (DIO2). The serum indexes were examined with high fat diet after irisin intervention. UCP1 and DIO2 in adipocytes showed increases responding to the irisin treatment. The size of white adipocytes in mice receiving irisin intervention was reduced. MRI measured volumes and fat fraction of WAT were significantly lower after Irisin treatment. Blood glucose and cholesterol levels were reduced in high fat diet mice after irisin treatment. Irisin intervention exerted browning of WAT, resulting reduction of volume and fat fraction of WAT as measured by MRI. Furthermore, it improved the condition of mice with diet-induced obesity and related metabolic disorders.

Predicting composition of leg sections with anthropometry and bioelectrical impedance analysis, using magnetic resonance imaging as reference

1999 ◽  
Vol 96 (6) ◽  
pp. 647-657 ◽  
Author(s):  
N. J. FULLER ◽  
C. R. HARDINGHAM ◽  
M. GRAVES ◽  
N. SCREATON ◽  
A. K. DIXON ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Adipose Tissue ◽  
Magnetic Resonance ◽  
Coefficient Of Variation ◽  
Lower Limb ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Tissue Composition ◽  
Resonance Imaging

Magnetic resonance imaging (MRI) was used to evaluate and compare with anthropometry a fundamental bioelectrical impedance analysis (BIA) method for predicting muscle and adipose tissue composition in the lower limb. Healthy volunteers (eight men and eight women), aged 41 to 62 years, with mean (S.D.) body mass indices of 28.6 (5.4) kg/m2 and 25.1 (5.4) kg/m2 respectively, were subjected to MRI leg scans, from which 20-cm sections of thigh and 10-cm sections of lower leg (calf) were analysed for muscle and adipose tissue content, using specifically developed software. Muscle and adipose tissue were also predicted from anthropometric measurements of circumferences and skinfold thicknesses, and by use of fundamental BIA equations involving section impedance at 50 kHz and tissue-specific resistivities. Anthropometric assessments of circumferences, cross-sectional areas and volumes for total constituent tissues matched closely MRI estimates. Muscle volume was substantially overestimated (bias: thigh, -40%; calf, -18%) and adipose tissue underestimated (bias: thigh, 43%; calf, 8%) by anthropometry, in contrast to generally better predictions by the fundamental BIA approach for muscle (bias: thigh, -12%; calf, 5%) and adipose tissue (bias: thigh, 17%; calf, -28%). However, both methods demonstrated considerable individual variability (95% limits of agreement 20–77%). In general, there was similar reproducibility for anthropometric and fundamental BIA methods in the thigh (inter-observer residual coefficient of variation for muscle 3.5% versus 3.8%), but the latter was better in the calf (inter-observer residual coefficient of variation for muscle 8.2% versus 4.5%). This study suggests that the fundamental BIA method has advantages over anthropometry for measuring lower limb tissue composition in healthy individuals.

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