Evaluation of rat liver with ARFI elastography: In vivo and ex vivo study

PLoS One. 2019 May 23;14(5):e0217297. doi: 10.1371/journal.pone.0217297. eCollection 2019.

Abstract

Objective: The aim of this study was to compare in vivo vs ex vivo liver stiffness in rats with acoustic radiation force impulse (ARFI) elastography using the histological findings as the gold standard.

Methods: Eighteen male Wistar rats aged 16-18 months were divided into a control group (n = 6) and obese group (n = 12). Liver stiffness was measured with shear wave velocity (SWV) using the ARFI technique both in vivo and ex vivo. The degree of fibrosis, steatosis and liver inflammation was evaluated in the histological findings. Pearson's correlation coefficient was applied to relate the SWV values to the histological parameters.

Results: The SWV values acquired in the ex vivo study were significantly lower than those obtained in vivo (P < 0.004). A significantly higher correlation value between the degree of liver fibrosis and the ARFI elastography assessment was observed in the ex vivo study (r = 0.706, P < 0.002), than the in vivo study (r = 0.623, P < 0.05).

Conclusion: Assessment of liver stiffness using ARFI elastography yielded a significant correlation between SWV and liver fibrosis in both the in vivo and ex vivo experiments. We consider that by minimising the influence of possible sources of artefact we could improve the accuracy of the measurements acquired with ARFI.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Disease Models, Animal
  • Elasticity Imaging Techniques*
  • Fatty Liver / diagnostic imaging
  • Fatty Liver / pathology
  • Humans
  • In Vitro Techniques
  • Liver / diagnostic imaging*
  • Liver / pathology
  • Liver Cirrhosis / diagnostic imaging
  • Liver Cirrhosis / pathology
  • Male
  • Non-alcoholic Fatty Liver Disease / diagnostic imaging
  • Non-alcoholic Fatty Liver Disease / pathology
  • Obesity / diagnostic imaging
  • Obesity / pathology
  • Rats
  • Rats, Wistar

Grants and funding

This work was supported by the “Subdirección General de Proyectos de Investigación” of “Ministerio de Economía y Competitividad” (Spain) (PI16/01556).