Related Experiment Video
Updated: Aug 7, 2026

Application of Ultrasound and Shear Wave Elastography Imaging in a Rat Model of NAFLD/NASH
Published on: April 20, 2021
A comparative study of cirrhosis sub-staging using the Laennec system, Beijing classification, and morphometry
Xiaofei Zhang1, Thomas D Schiano2,3, Erin Doyle2
1Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, US.
Cirrhosis classification systems, Laennec and Beijing, correlate with liver fibrosis. Significant geographic variation in fibrosis content and cirrhosis morphology exists within the liver.
Area of Science:
- Hepatology
- Pathology
- Medical Research
Background:
- Cirrhosis leads to spatially heterogeneous liver remodeling.
- The Laennec system and Beijing classification are used to sub-classify cirrhosis.
- Comparison and clinical correlation of these classification systems are not well understood.
Purpose of the Study:
- To compare the Laennec system and Beijing classification.
- To assess geographic variation in cirrhosis.
- To correlate these classifications with clinical outcomes.
Main Methods:
- Analysis of five needle biopsies from 20 explanted cirrhotic HCV livers.
- Measurement of Collagen Proportionate Area (CPA) using quantitative morphometry.
- Correlation of Laennec and Beijing classifications with CPA and clinical data.
Main Results:
- Both Laennec and Beijing classifications correlate with CPA.
- Significant geographic variation in CPA was observed (mean CoV 47.3%).
- Beijing P pattern and Laennec 4C showed higher CPA and lower platelet counts.
Conclusions:
- The Laennec system and Beijing classification are reliable indicators of liver fibrosis.
- Significant geographic variation in fibrosis and cirrhosis morphology is confirmed.
- Further research is needed to fully understand clinical outcome correlations.
More Related Videos
06:09Author Spotlight: Advancing Hepatic Fibrosis Diagnosis Using Magnetic Resonance Elastography and AI
Published on: July 21, 2023
07:13Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
Published on: April 18, 2025
Related Concept Videos
Cirrhosis I: Introduction
Cirrhosis II: Pathophysiology