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Diagnosing autoimmune hepatitis: histological correlations and emerging technologies

The diagnosis of Autoimmune Hepatitis (AIH) is a multifaceted process that relies on the intricate interplay of histological, serological, and biochemical findings. Liver histology remains a sine qua non tool for AIH diagnosis, yet correlating pathological findings with other clinical variables is o...

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Bibliographische Detailangaben
Hauptverfasser: Cazzaniga, Giorgio (VerfasserIn) , Bolis, Francesca (VerfasserIn) , Caime, Chiara (VerfasserIn) , Piazza, Rocco (VerfasserIn) , Žigutytė, Laura (VerfasserIn) , Kather, Jakob Nikolas (VerfasserIn) , Pagni, Fabio (VerfasserIn) , Invernizzi, Pietro (VerfasserIn) , Carbone, Marco (VerfasserIn) , Gerussi, Alessio (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: November 2025
In: Liver international
Year: 2025, Jahrgang: 45, Heft: 11, Pages: 1-14
ISSN:1478-3231
DOI:10.1111/liv.70377
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1111/liv.70377
Verlag, lizenzpflichtig, Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1111/liv.70377
Volltext
Verfasserangaben:Giorgio Cazzaniga, Francesca Bolis, Chiara Caime, Rocco Piazza, Laura Žigutytė, Jakob Nikolas Kather, Fabio Pagni, Pietro Invernizzi, Marco Carbone, Alessio Gerussi
Beschreibung
Zusammenfassung:The diagnosis of Autoimmune Hepatitis (AIH) is a multifaceted process that relies on the intricate interplay of histological, serological, and biochemical findings. Liver histology remains a sine qua non tool for AIH diagnosis, yet correlating pathological findings with other clinical variables is often challenging. Additionally, the heterogeneity in the clinical presentation of AIH, ranging from asymptomatic cases to fulminant liver failure, further complicates the diagnostic process by introducing variability in the interpretation of these diagnostic components. This review summarises empirical observations on the correlation between histological changes in AIH and other clinical manifestations, highlighting gaps in the current evidence. It also explores how emerging techniques, such as spatial omics and computational pathology, can enhance our understanding of the disease and help bridge these gaps.
Beschreibung:Erstveröffentlichung: 9. Oktober 2025
Gesehen am 13.04.2026
Beschreibung:Online Resource
ISSN:1478-3231
DOI:10.1111/liv.70377

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