Staging liver fibrosis with DWI: is there an added value for diffusion kurtosis imaging?

Eur Radiol. 2018 Jul;28(7):3041-3049. doi: 10.1007/s00330-017-5245-6. Epub 2018 Jan 30.

Abstract

Objectives: To assess liver fibrosis in patients with chronic liver disease using diffusion kurtosis imaging (DKI) in comparison with conventional diffusion-weighted imaging, with histology as reference standard.

Methods: This prospective study included 81 patients and DKI with b-values of 0, 200, 500, 1,000, 1,500, 2,000 s/mm2 were performed. Mean diffusivity (MD), mean kurtosis (MK) and apparent diffusion coefficient (ADC) maps were calculated. The diagnostic efficacy of MD, MK and ADC for predicting stage 2 fibrosis or greater, and stage 3 fibrosis or greater were compared.

Results: The MD (rho=-0.491, p<0.001), MK (rho=0.537, p<0.001) and ADC (rho=-0.496, p<0.001) correlated significantly with fibrosis stages, and ADC exhibited a strong negative correlation with MK (rho=-0.968; p<0.001) and a moderate association with MD (rho=0.601, p<0.001). Areas under the curves (AUCs) for predicting stage 2 fibrosis or greater were not significantly different (p>0.05) between MK (0.809) and ADC (0.797) as well as between MD (0.715) and ADC. AUCs were also similar for MD (0.710), MK (0.768) and ADC (0.747) for predicting stage 3 fibrosis or greater.

Conclusion: Although DKI is feasible for predicting liver fibrosis in patients with chronic liver disease, MD and MK offer similar diagnostic performance to ADC values.

Key points: • Diffusion kurtosis imaging is feasible for staging liver fibrosis. • Diffusion kurtosis and monoexponential model are highly correlated. • The kurtosis model offers no added value to the conventional, monoexponential model.

Keywords: Diagnostic imaging; Diffusion-weighted MRI; Liver disease; Liver fibrosis; Magnetic resonance imaging.

MeSH terms

  • Adult
  • Aged
  • Diffusion Magnetic Resonance Imaging / methods*
  • Diffusion Tensor Imaging / methods
  • Feasibility Studies
  • Female
  • Humans
  • Image Interpretation, Computer-Assisted / methods
  • Liver Cirrhosis / diagnostic imaging*
  • Liver Cirrhosis / pathology
  • Male
  • Middle Aged
  • Observer Variation
  • Prospective Studies
  • Sensitivity and Specificity
  • Severity of Illness Index