title: [Techniques for quantification of liver fat in risk stratification of diabetics].
abstract: OBJECTIVE
  Fatty liver disease plays an important role in the development of type 2 diabetes. Accurate techniques for detection and quantification of liver fat are essential for clinical diagnostics.
  
  
  METHODS
  Chemical shift-encoded magnetic resonance imaging (MRI) is a simple approach to quantify liver fat content.
  
  
  METHODS
  Liver fat quantification using chemical shift-encoded MRI is influenced by several bias factors, such as T2* decay, T1 recovery and the multispectral complexity of fat.
  
  
  METHODS
  The confounder corrected proton density fat fraction is a simple approach to quantify liver fat with comparable results independent of the software and hardware used.
  
  
  RESULTS
  The proton density fat fraction is an accurate biomarker for assessment of liver fat.
  
  
  CONCLUSIONS
  An accurate and reproducible quantification of liver fat using chemical shift-encoded MRI requires a calculation of the proton density fat fraction.
authors: Abteilung Experimentelle Radiologie, Institut für Diagnostische Radiologie und Neuroradiologie, Universitätsmedizin Greifswald, Sauerbruchstr. 1, 17489, Greifswald, Deutschland, kuehn@uni-greifswald.de.
authors: J-P
authors: JP
authors: Kühn
authors: M C
authors: MC
authors: Spoerl
authors: C
authors: C
authors: Mahlke
authors: K
authors: K
authors: Hegenscheid
mesh_terms: D000273:Adipose Tissue / Q000473:pathology*; D048909:Diabetes Complications / Q000473:pathology*; D005234:Fatty Liver / Q000473:pathology*; D005858:Germany; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods* / Q000592:standards; D008099:Liver / Q000473:pathology*; D018570:Risk Assessment / Q000379:methods