Imaging biomarkers for steatohepatitis and fibrosis detection in non-alcoholic fatty liver disease

Sci Rep. 2016 Aug 12:6:31421. doi: 10.1038/srep31421.

Abstract

There is a need, in NAFLD management, to develop non-invasive methods to detect steatohepatitis (NASH) and to predict advanced fibrosis stages. We evaluated a tool based on optical analysis of liver magnetic resonance images (MRI) as biomarkers for NASH and fibrosis detection by investigating patients with biopsy-proven NAFLD who underwent magnetic resonance (MR) protocols using 1.5T General Electric (GE) or Philips devices. Two imaging biomarkers (NASHMRI and FibroMRI) were developed, standardised and validated using area under the receiver operating characteristic curve (AUROC) analysis. The results indicated NASHMRI diagnostic accuracy for steatohepatitis detection was 0.83 (95% CI: 0.73-0.93) and FibroMRI diagnostic accuracy for significant fibrosis determination was 0.85 (95% CI: 0.77-0.94). These findings were independent of the MR system used. We conclude that optical analysis of MRI has high potential to define non-invasive imaging biomarkers for the detection of steatohepatitis (NASHMRI) and the prediction of significant fibrosis (FibroMRI) in NAFLD patients.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Area Under Curve
  • Biomarkers / metabolism*
  • Elasticity Imaging Techniques
  • Fatty Liver / diagnostic imaging
  • Fatty Liver / pathology*
  • Female
  • Humans
  • Keratin-18 / metabolism
  • Liver / diagnostic imaging
  • Liver / pathology
  • Liver Cirrhosis / complications
  • Liver Cirrhosis / diagnostic imaging
  • Liver Cirrhosis / pathology*
  • Magnetic Resonance Imaging / standards
  • Male
  • Middle Aged
  • Non-alcoholic Fatty Liver Disease / complications
  • Non-alcoholic Fatty Liver Disease / diagnostic imaging
  • Non-alcoholic Fatty Liver Disease / pathology*
  • ROC Curve
  • Severity of Illness Index

Substances

  • Biomarkers
  • Keratin-18