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[Chronic cholangitis]
1Institüt for Pathologie, Karl-Franzens-Universität Graz, Osterreich. cord.langner@kfunigraz.ac.at
Insights
This review focuses on immune-mediated chronic cholangitis, specifically primary biliary cirrhosis (PBC) and primary sclerosing cholangitis (PSC). It details their clinicopathology, pathogenesis, and diagnostic approaches, including overlap syndromes.
Area of Science:
- Hepatology
- Immunology
- Gastroenterology
Context:
- Chronic cholangitis encompasses diverse intra- and extrahepatic conditions.
- Diseases can be bacterial or immunologically mediated.
- This review concentrates on autoimmune liver diseases.
Purpose:
- To review the clinicopathological and pathogenetic aspects of primary biliary cirrhosis (PBC) and primary sclerosing cholangitis (PSC).
- To define histopathological criteria and discuss differential diagnoses.
- To present a diagnostic algorithm for these conditions.
Summary:
- Focuses on immunologically mediated chronic cholangitis, including primary biliary cirrhosis (PBC) and primary sclerosing cholangitis (PSC).
- Details clinicopathological features, pathogenesis, and histopathological criteria.
- Discusses differential diagnoses and overlap syndromes with autoimmune hepatitis.
- Includes a diagnostic algorithm for clinical use.
Impact:
- Provides a comprehensive overview for clinicians and researchers.
- Aids in the accurate diagnosis and management of PBC and PSC.
- Highlights the importance of distinguishing autoimmune cholangiopathies.
Abstract:
The term chronic cholangitis comprises a heterogeneous group of intra- and/or extrahepatic diseases that may either be bacterially caused or immunologically mediated. In this review, we will focus on the latter and present the clinicopathological and pathogenetic aspects of primary biliary cirrhosis (PBC) and primary sclerosing cholangitis (PSC). The histopathological criteria are defined and differential diagnosis is discussed. Particular emphasis is given to overlap syndromes of PBC and PSC with autoimmune hepatitis. Finally, a diagnostic algorithm is presented.