Comparison of Gross Body Fat-Water Magnetic Resonance Imaging at 3 Tesla to Dual Energy X-Ray Absorptiometry in Obese Women

Improved understanding of how depot‐specific adipose tissue mass predisposes to obesity‐related comorbidities could yield new insights into the pathogenesis and treatment of obesity as well as metabolic benefits of weight loss. We hypothesized that three‐dimensional (3D) contiguous “fat‐water” MR imaging (FWMRI) covering the majority of a whole‐body field of view (FOV) acquired at 3 Tesla (3T) and coupled with automated segmentation and quantification of amount, type, and distribution of adipose and lean soft tissue would show great promise in body composition methodology.

[1]  E. Merkle,et al.  A review of MR physics: 3T versus 1.5T. , 2007, Magnetic resonance imaging clinics of North America.

[2]  M. Lustig,et al.  Compressed sensing for chemical shift‐based water–fat separation , 2010, Magnetic resonance in medicine.

[3]  Peter Börnert,et al.  Parallel RF transmission in MRI , 2006, NMR in biomedicine.

[4]  F. Schick,et al.  Standardized assessment of whole body adipose tissue topography by MRI , 2005, Journal of magnetic resonance imaging : JMRI.

[5]  J V Hajnal,et al.  Magnetic resonance imaging of total body fat. , 1998, Journal of applied physiology.

[6]  Wenmiao Lu,et al.  Multiresolution field map estimation using golden section search for water‐fat separation , 2008, Magnetic resonance in medicine.

[7]  E Brian Welch,et al.  Imaging body composition in obesity and weight loss: challenges and opportunities , 2010, Diabetes, metabolic syndrome and obesity : targets and therapy.

[8]  A. Beckett,et al.  AKUFO AND IBARAPA. , 1965, Lancet.

[9]  D. Altman,et al.  STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT , 1986, The Lancet.

[10]  C. Bouchard,et al.  Genetic and nongenetic determinants of regional fat distribution. , 1993, Endocrine reviews.

[11]  R. Ross Advances in the application of imaging methods in applied and clinical physiology , 2003, Acta Diabetologica.

[12]  R. Bergman A Better Index of Body Adiposity , 2012, Obesity.

[13]  D. Clegg,et al.  Sexual Dimorphism in Body Fat Distribution and Risk for Cardiovascular Diseases , 2009, Journal of cardiovascular translational research.

[14]  S. Heymsfield,et al.  The five-level model: a new approach to organizing body-composition research. , 1992, The American journal of clinical nutrition.

[15]  K. Bailey,et al.  Relationships between insulin sensitivity and measures of body fat in asymptomatic men and women. , 2004, Obesity research.

[16]  C. Lewis,et al.  Comparison of dual-energy X-ray absorptiometry and magnetic resonance imaging-measured adipose tissue depots in HIV-infected and control subjects. , 2008, The American journal of clinical nutrition.

[17]  Q S Xiang,et al.  Chemical shift imaging with spectrum modeling , 2001, Magnetic resonance in medicine.

[18]  M. Bland Challenging the myths: the lived experience of chronic leg ulcers. , 1995, Nursing praxis in New Zealand inc.

[19]  A Cederblad,et al.  Determination of total adipose tissue and body fat in women by computed tomography, 40K, and tritium. , 1986, The American journal of physiology.

[20]  Håkan Ahlström,et al.  Three‐point dixon method enables whole‐body water and fat imaging of obese subjects , 2010, Magnetic resonance in medicine.

[21]  Fritz Schick,et al.  Follow-up whole-body assessment of adipose tissue compartments during a lifestyle intervention in a large cohort at increased risk for type 2 diabetes. , 2010, Radiology.

[22]  N. Otsu A threshold selection method from gray level histograms , 1979 .

[23]  R Guardo,et al.  Quantification of adipose tissue by MRI: relationship with anthropometric variables. , 1992, Journal of applied physiology.

[24]  P. Tothill,et al.  Measurement of abdominal fat by magnetic resonance imaging, dual-energy X-ray absorptiometry and anthropometry in non-obese men and women , 1999, International Journal of Obesity.

[25]  Nick Finer,et al.  Quantitative Magnetic Resonance (QMR) for Longitudinal Evaluation of Body Composition Changes With Two Dietary Regimens , 2010, Obesity.

[26]  Hung-Mo Lin,et al.  Computer programs for the concordance correlation coefficient , 2007, Comput. Methods Programs Biomed..

[27]  Norbert J Pelc,et al.  Field map estimation with a region growing scheme for iterative 3‐point water‐fat decomposition , 2005, Magnetic resonance in medicine.

[28]  M. Greenwood An Introduction to Medical Statistics , 1932, Nature.

[29]  L. Lin,et al.  A concordance correlation coefficient to evaluate reproducibility. , 1989, Biometrics.

[30]  G. Bray,et al.  Contributions of total body fat, abdominal subcutaneous adipose tissue compartments, and visceral adipose tissue to the metabolic complications of obesity. , 2001, Metabolism: clinical and experimental.

[31]  P. Boesiger,et al.  SENSE: Sensitivity encoding for fast MRI , 1999, Magnetic resonance in medicine.

[32]  S. Heymsfield,et al.  Skeletal muscle mass: evaluation of neutron activation and dual-energy X-ray absorptiometry methods. , 1996, Journal of applied physiology.

[33]  C. Sirlin,et al.  In vivo characterization of the liver fat 1H MR spectrum , 2011, NMR in biomedicine.

[34]  M. G. Henriksen,et al.  In vivo measurement of human body composition by dual-energy X-ray absorptiometry (DXA). , 2003, The European journal of surgery = Acta chirurgica.

[35]  R M Peshock,et al.  Estimation of adipose tissue mass by magnetic resonance imaging: validation against dissection in human cadavers. , 1994, Journal of lipid research.

[36]  M Alpsten,et al.  A multicompartment body composition technique based on computerized tomography. , 1994, International journal of obesity and related metabolic disorders : journal of the International Association for the Study of Obesity.

[37]  B. Aldefeld,et al.  Whole‐body 3D water/fat resolved continuously moving table imaging , 2007, Journal of magnetic resonance imaging : JMRI.

[38]  D. Spielman,et al.  Dynamic shimming for multi‐slice magnetic resonance imaging , 1997, Magnetic resonance in medicine.

[39]  Steven B Heymsfield,et al.  Quantitative Magnetic Resonance Fat Measurements in Humans Correlate With Established Methods but Are Biased , 2010, Obesity.

[40]  M. Elia,et al.  DXA measurements of fat and bone mineral density in relation to depth and adiposity. , 1993, Basic life sciences.

[41]  L. Lönn,et al.  Whole-body adipose tissue analysis: comparison of MRI, CT and dual energy X-ray absorptiometry. , 2009, The British journal of radiology.

[42]  Peter Börnert,et al.  Automated assessment of whole‐body adipose tissue depots from continuously moving bed MRI: A feasibility study , 2009, Journal of magnetic resonance imaging : JMRI.