Affiliations 

  • 1 Department of Radiology, Nationwide Children's Hospital, Columbus, Ohio
  • 2 Department of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
  • 3 Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin
  • 4 Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany
  • 5 Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany
  • 6 Department of Medical Biophysics, University of Western Ontario, London, Ontario, Canada
  • 7 Department of Radiological Sciences, University of California Los Angeles, Los Angeles, California
  • 8 Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas
  • 9 Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore
Magn Reson Med, 2020 05;83(5):1565-1576.
PMID: 31782551 DOI: 10.1002/mrm.28103

Abstract

More than 100 attendees from Australia, Austria, Belgium, Canada, China, Germany, Hong Kong, Indonesia, Japan, Malaysia, the Netherlands, the Philippines, Republic of Korea, Singapore, Sweden, Switzerland, the United Kingdom, and the United States convened in Singapore for the 2019 ISMRM-sponsored workshop on MRI of Obesity and Metabolic Disorders. The scientific program brought together a multidisciplinary group of researchers, trainees, and clinicians and included sessions in diabetes and insulin resistance; an update on recent advances in water-fat MRI acquisition and reconstruction methods; with applications in skeletal muscle, bone marrow, and adipose tissue quantification; a summary of recent findings in brown adipose tissue; new developments in imaging fat in the fetus, placenta, and neonates; the utility of liver elastography in obesity studies; and the emerging role of radiomics in population-based "big data" studies. The workshop featured keynote presentations on nutrition, epidemiology, genetics, and exercise physiology. Forty-four proffered scientific abstracts were also presented, covering the topics of brown adipose tissue, quantitative liver analysis from multiparametric data, disease prevalence and population health, technical and methodological developments in data acquisition and reconstruction, newfound applications of machine learning and neural networks, standardization of proton density fat fraction measurements, and X-nuclei applications. The purpose of this article is to summarize the scientific highlights from the workshop and identify future directions of work.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.