Interobserver agreement and diagnostic accuracy of shearwave elastography for the staging of hepatitis C virus-associated liver fibrosis

J Clin Ultrasound. 2020 Feb;48(2):67-74. doi: 10.1002/jcu.22771. Epub 2019 Aug 29.

Abstract

Purpose: Our study aimed to evaluate the technical success rate, interobserver reproducibility, and accuracy of shearwave elastography (SWE) in the staging of hepatitis C virus (HCV)-associated liver fibrosis.

Methods: A total of 10 healthy controls and 49 patients with chronic liver disease were enrolled prospectively. Two examiners performed point shearwave elastography (pSWE) and two-dimensional shearwave elastography (2D-SWE) measurements with an RS85A ultrasound scanner using the S-Shearwave application (Samsung Medison, Hongcheon, Korea). The performance of S-Shearwave in the staging (METAVIR F0-F4) of liver fibrosis was compared with prior transient elastography (TE) with receiver operating characteristic (ROC) curve analysis.

Results: The interobserver reproducibility was excellent with pSWE (ICC = 0.92, 95% CI: 0.86-0.95, P < .001). A very good agreement was found between pSWE and TE measurements (ICC =0.85, 95% CI: 0.78-0.89, P < .001). The ROC analysis determined the optimal cut-off values of pSWE for the staging of chronic hepatitis C-associated fibrosis (F2, 1.46 m/s; F3, 1.63 m/s; F4, 1.95 m/s). Both observers achieved excellent diagnostic accuracy (AUROC: 94% vs 97%) in the detection of significant (≥F2) liver fibrosis.

Conclusion: The interobserver agreement is excellent with S-Shearwave pSWE, and observers can diagnose significant liver fibrosis with a comparable accuracy to TE.

Keywords: HCV; chronic hepatitis C; liver fibrosis; shearwave elastography.

MeSH terms

  • Adult
  • Aged
  • Elasticity Imaging Techniques / methods*
  • Elasticity Imaging Techniques / standards
  • Female
  • Hepatitis C, Chronic / complications*
  • Humans
  • Liver Cirrhosis / diagnostic imaging*
  • Liver Cirrhosis / etiology*
  • Male
  • Middle Aged
  • Observer Variation
  • ROC Curve
  • Reproducibility of Results
  • Severity of Illness Index