AI portal tract detection and characterisation for a regional analysis of steatosis and inflammation in MASLD, MASH and AIH
A new AI system for anatomical quantification of liver biopsy features measured variation in fat and inflammation across the lobule. It showed that inflammation burden was higher in AIH than MASLD/MASH, despite equivalent portal grades, providing objective support for histological scoring.
Authors
- Sarah J. Larkin
- Paul Aljabar
- Cayden Beyer
- Phil Wakefield
- Pierre Bédossa (ORCID: https://orcid.org/0000-0002-8487-7322)
- Kezia Hobson (ORCID: https://orcid.org/0009-0004-6674-2215)
- Dylan Windell
- Alastair Magness
- K A Fleming (ORCID: https://orcid.org/0000-0002-3200-1302)
- Robert Goldin (ORCID: https://orcid.org/0000-0001-5184-4519)
- Caitlin Langford
- Timothy James Kendall (ORCID: https://orcid.org/0000-0002-4174-2786)
- Helena Thomaides Brears
- Eve Fryer
- Reema Kainth
Institutions
- University of Oxford (GB)
- Oxford University Hospitals NHS Trust (GB)
- Centre for Inflammation Research (GB)
- Imperial College London (GB)
- Régie Autonome des Transports Parisiens (France) (FR)
- University of Edinburgh (GB)
Publication Details
- Journal
- Journal of Clinical Pathology
- Published
- 2025-10-29
- DOI
- https://doi.org/10.1136/jcp-2025-210311
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institute for Health and Care Research
- Eurostars