Regression of liver fibrosis in cases of chronic liver disease type C: quantitative evaluation by using computed

Makoto Arima1, Hideo Terao, Kenji Kashima

  • 1Department of Infectious Diseases, Oita University, Oita 879-5593.

Insights

Quantitative analysis of liver fibrosis area confirms significant regression after Hepatitis C virus (HCV) eradication with interferon (IFN) therapy. This method offers superior detail compared to traditional scoring systems for assessing fibrosis changes.

Area of Science:

  • Hepatology
  • Virology
  • Digital Pathology

Background:

  • Liver fibrosis is a hallmark of chronic liver disease, often assessed by scoring systems.
  • Traditional scoring may not capture subtle fibrosis reductions after treatment.
  • Hepatitis C virus (HCV) infection is a major cause of chronic liver disease and fibrosis.

Purpose of the Study:

  • To quantitatively assess liver fibrosis changes using digital image analysis.
  • To compare the detailed change in fibrosis area with classical staging.
  • To evaluate fibrosis regression in patients with HCV after interferon (IFN) therapy.

Main Methods:

  • Digital image analysis was used to measure the area of fibrosis in liver biopsy samples.
  • The study included 25 patients with HCV infection: 20 with complete response (CR) to IFN and 5 on conservative therapy (CT).
  • Fibrosis area rate was calculated relative to the total biopsied liver tissue.

Main Results:

  • In the CR group, the fibrosis rate significantly regressed from 7.2 ± 1.5% before therapy to 2.7 ± 0.5% after therapy.
  • In the CT group, the fibrosis rate increased from 8.4 ± 4.3% at the first biopsy to 15.9 ± 7.7% at the second biopsy.
  • Quantitative analysis revealed significant fibrosis regression in patients achieving viral eradication.

Conclusions:

  • Regression of liver fibrosis can be confirmed in patients with virologic response to IFN, including those with liver cirrhosis.
  • Quantitative fibrosis area measurement provides superior information compared to classical staging.
  • Digital image analysis is a valuable tool for detailed assessment of liver fibrosis dynamics.
Abstract