Characterizing Fibrosis and Inflammation in a Partial Bile Duct Ligation Mouse Model by Multiparametric Magnetic

Jia-Yi Liu1, Ye-Yu Cai1, Zhu-Yuan Ding1

  • 1Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China.

Abstract

Insights

Multiparametric MRI effectively assesses liver fibrosis and inflammation in partial bile duct ligation (PBDL) models. Key parameters like T1 and apparent diffusion coefficient (ADC) show strong correlations with fibrosis, aiding in disease evaluation.

Area of Science:

  • Radiology
  • Medical Imaging
  • Liver Disease Research

Background:

  • Partial bile duct ligation (PBDL) is a validated model for studying cholestatic liver fibrosis.
  • Histopathological changes in PBDL are complex and not fully characterized by current imaging techniques.
  • Magnetic Resonance Imaging (MRI) features in PBDL require further investigation.

Purpose of the Study:

  • To evaluate the utility of various MRI parameters in assessing liver fibrosis within the PBDL model.
  • To explore the correlation between quantitative MRI metrics and established pathological features of liver fibrosis and inflammation.
  • To determine the diagnostic performance of MRI in differentiating PBDL-induced liver changes.

Main Methods:

  • Established partial bile duct ligation (PBDL) in 54 mice, divided into four timepoint groups and one sham group.
  • Utilized a 3.0 Tesla MRI scanner with advanced sequences including T1 mapping, T2 mapping, T2* mapping, and multi-b-value diffusion-weighted imaging.
  • Quantified MRI parameters (Native T1, ΔT1, T2, T2*, ADC) and histogram metrics; correlated findings with Masson and H&E staining using Metavir and activity scoring.

Main Results:

  • Ligated livers showed significant increases in Native T1, ΔT1, T2, and decreases in ADC and T2* compared to sham livers.
  • T2 demonstrated a stronger correlation with inflammation (r=0.809) than fibrosis (r=0.635).
  • ΔT1 and ADC exhibited stronger correlations with fibrosis (r=0.704, r=-0.718) than inflammation (r=0.564, r=-0.550).
  • ΔT1 achieved the highest Area Under the Curve (AUC) of 0.896 for differentiating fibrosis, increasing to 0.956 when combined with other parameters.

Conclusions:

  • Multiparametric MRI is capable of evaluating and differentiating pathological changes in the PBDL model.
  • The MRI parameters ΔT1 and ADC are more closely associated with liver fibrosis, while T2 is more strongly associated with inflammation.
  • Quantitative MRI holds significant potential for non-invasively assessing liver fibrosis and inflammation in cholestatic liver disease.

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