Literature DB >> 26905521

MR-based assessment of body fat distribution and characteristics.

Thomas Baum1, Christian Cordes2, Michael Dieckmeyer2, Stefan Ruschke2, Daniela Franz2, Hans Hauner3, Jan S Kirschke4, Dimitrios C Karampinos2.   

Abstract

The assessment of body fat distribution and characteristics using magnetic resonance (MR) methods has recently gained significant attention as it further extends our pathophysiological understanding of diseases including obesity, metabolic syndrome, or type 2 diabetes mellitus, and allows more detailed insights into treatment response and effects of lifestyle interventions. Therefore, the purpose of this study was to review the current literature on MR-based assessment of body fat distribution and characteristics. PubMed search was performed to identify relevant studies on the assessment of body fat distribution and characteristics using MR methods. T1-, T2-weighted MR Imaging (MRI), Magnetic Resonance Spectroscopy (MRS), and chemical shift-encoding based water-fat MRI have been successfully used for the assessment of body fat distribution and characteristics. The relationship of insulin resistance and serum lipids with abdominal adipose tissue (i.e. subcutaneous and visceral adipose tissue), liver, muscle, and bone marrow fat content have been extensively investigated and may help to understand the underlying pathophysiological mechanisms and the multifaceted obese phenotype. MR methods have also been used to monitor changes of body fat distribution and characteristics after interventions (e.g. diet or physical activity) and revealed distinct, adipose tissue-specific properties. Lastly, chemical shift-encoding based water-fat MRI can detect brown adipose tissue which is currently the focus of intense research as a potential treatment target for obesity. In conclusion, MR methods reliably allow the assessment of body fat distribution and characteristics. Irrespective of the promising findings based on these MR methods the clinical usefulness remains to be established.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Body fat characteristics; Body fat distribution; Fat imaging; Magnetic resonance imaging

Mesh:

Year:  2016        PMID: 26905521     DOI: 10.1016/j.ejrad.2016.02.013

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


  33 in total

1.  Body and liver fat content and adipokines in schizophrenia: a magnetic resonance imaging and spectroscopy study.

Authors:  Jong-Hoon Kim; Jung-Hyun Kim; Pil-Whan Park; Jürgen Machann; Michael Roden; Sheen-Woo Lee; Jong-Hee Hwang
Journal:  Psychopharmacology (Berl)       Date:  2017-03-18       Impact factor: 4.530

Review 2.  Role of Marrow Adipocytes in Regulation of Energy Metabolism and Bone Homeostasis.

Authors:  Jillian Cornish; Tao Wang; Jian-Ming Lin
Journal:  Curr Osteoporos Rep       Date:  2018-04       Impact factor: 5.096

Review 3.  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

Review 4.  Current body composition measurement techniques.

Authors:  Thaisa Lemos; Dympna Gallagher
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2017-10       Impact factor: 3.243

5.  Bariatric Embolization of the Left Gastric Arteries for the Treatment of Obesity: 9-Month Data in 5 Patients.

Authors:  Zhi-Bin Bai; Yong-Lin Qin; Gang Deng; Guo-Feng Zhao; Bin-Yan Zhong; Gao-Jun Teng
Journal:  Obes Surg       Date:  2018-04       Impact factor: 4.129

6.  Regional variation in paraspinal muscle composition using chemical shift encoding-based water-fat MRI.

Authors:  Nico Sollmann; Agnes Zoffl; Daniela Franz; Jan Syväri; Michael Dieckmeyer; Egon Burian; Elisabeth Klupp; Dennis M Hedderich; Christina Holzapfel; Theresa Drabsch; Jan S Kirschke; Ernst J Rummeny; Claus Zimmer; Hans Hauner; Dimitrios C Karampinos; Thomas Baum
Journal:  Quant Imaging Med Surg       Date:  2020-02

7.  Low-dose MDCT: evaluation of the impact of systematic tube current reduction and sparse sampling on quantitative paraspinal muscle assessment.

Authors:  Egon Burian; Nico Sollmann; Kai Mei; Michael Dieckmeyer; Daniela Juncker; Maximilian Löffler; Tobias Greve; Claus Zimmer; Jan S Kirschke; Thomas Baum; Peter B Noël
Journal:  Quant Imaging Med Surg       Date:  2021-07

8.  Regional variation of thigh muscle fat infiltration in patients with neuromuscular diseases compared to healthy controls.

Authors:  Tobias Greve; Egon Burian; Agnes Zoffl; Georg Feuerriegel; Sarah Schlaeger; Michael Dieckmeyer; Nico Sollmann; Elisabeth Klupp; Dominik Weidlich; Stephanie Inhuber; Maximilian Löffler; Federica Montagnese; Marcus Deschauer; Benedikt Schoser; Sarah Bublitz; Claus Zimmer; Dimitrios C Karampinos; Jan S Kirschke; Thomas Baum
Journal:  Quant Imaging Med Surg       Date:  2021-06

9.  Trends in Obesity and Risk of Cardiovascular Disease.

Authors:  Ryan Lahey; Sadiya S Khan
Journal:  Curr Epidemiol Rep       Date:  2018-07-09

10.  Association of thigh and paraspinal muscle composition in young adults using chemical shift encoding-based water-fat MRI.

Authors:  Egon Burian; Stephanie Inhuber; Sarah Schlaeger; Michael Dieckmeyer; Elisabeth Klupp; Daniela Franz; Dominik Weidlich; Nico Sollmann; Maximilian Löffler; Ansgar Schwirtz; Ernst J Rummeny; Claus Zimmer; Jan S Kirschke; Dimitrios C Karampinos; Thomas Baum
Journal:  Quant Imaging Med Surg       Date:  2020-01
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