Magnetic resonance imaging of obesity and metabolic disorders: Summary from the 2019 ISMRM Workshop.
Houchun Harry HuRosa Tamara BrancaDiego HernandoDimitrios C KarampinosJuergen MachannCharles A McKenzieHolden H WuTakeshi YokooSambasivam Sendhil VelanPublished in: Magnetic resonance in medicine (2019)
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.
Keyphrases
- insulin resistance
- adipose tissue
- big data
- machine learning
- magnetic resonance imaging
- contrast enhanced
- high fat diet induced
- high fat diet
- artificial intelligence
- skeletal muscle
- polycystic ovary syndrome
- bone marrow
- glycemic control
- neural network
- type diabetes
- physical activity
- metabolic syndrome
- risk factors
- high resolution
- diffusion weighted imaging
- computed tomography
- quality improvement
- palliative care
- mesenchymal stem cells
- primary care
- squamous cell carcinoma
- cross sectional
- case control
- mass spectrometry
- lymph node metastasis
- randomized controlled trial
- clinical trial
- weight gain
- resistance training
- general practice
- preterm infants
- liver fibrosis