title: Quantification of hepatic and visceral fat by CT and MR imaging: relevance to the obesity epidemic, metabolic syndrome and NAFLD.
abstract: Trends in obesity have continued to increase in the developed world over the past few decades, along with related conditions such as metabolic syndrome, which is strongly associated with this epidemic. Novel and innovative methods to assess relevant obesity-related biomarkers are needed to determine the clinical significance, allow for surveillance and intervene if appropriate. Aggregations of specific types of fat, specifically hepatic and visceral adiposity, are now known to be correlated with these conditions, and there are a variety of imaging techniques to identify and quantify their distributions and provide diagnostic information. These methods are particularly salient for metabolic syndrome, which is related to both hepatic and visceral adiposity but currently not defined by it. Simpler non-specific fat measurements, such as body weight, abdominal circumference and body mass index are more frequently used but lack the ability to characterize fat location. In addition, non-alcoholic fatty liver disease (NAFLD) is a related condition that carries relevance not only for obesity-related diseases but also for the progression of the liver-specific disease, including non-alcoholic steatohepatitis and cirrhosis, albeit at a much lower frequency. Recent CT and MRI techniques have emerged to potentially optimize diagnosing metabolic syndrome and NAFLD through non-invasive quantification of visceral fat and hepatic steatosis with high accuracy. These imaging modalities should aid us in further understanding the relationship of hepatic and visceral fat to the obesity-related conditions such as metabolic syndrome, NAFLD and cardiovascular disease.
authors.affiliation: Department of Radiology, University of Wisconsin School of Medicine & Public Health, Madison, WI.
authors.forename: Peter M
authors.initials: PM
authors.lastname: Graffy
authors.affiliation: Department of Radiology, University of Wisconsin School of Medicine & Public Health, Madison, WI.
authors.forename: Perry J
authors.initials: PJ
authors.lastname: Pickhardt
mesh_terms: D050154:Adiposity; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D050152:Intra-Abdominal Fat / Q000000981:diagnostic imaging*; D008099:Liver / Q000000981:diagnostic imaging*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D024821:Metabolic Syndrome / Q000000981:diagnostic imaging* / Q000453:epidemiology; D065626:Non-alcoholic Fatty Liver Disease / Q000000981:diagnostic imaging*; D009765:Obesity / Q000000981:diagnostic imaging* / Q000453:epidemiology; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000379:methods*