MRI-derived quantification of hepatic vessel-to-volume ratios in chronic liver disease using a deep learning approach
Deep learning-based vessel analysis can provide automated quantification of hepatic vascular changes across healthy liver and chronic liver disease stages. Automated quantification of hepatic vasculature shows significantly reduced hepatic vascular volume in advanced chronic liver disease compared to non-advanced disease and healthy liver. Decreased hepatic vascular volume, particularly in the hepatic venous system, correlates with markers of liver dysfunction, fibrosis, and portal hypertension.
Authors
- Nina Bastati (ORCID: https://orcid.org/0000-0002-3994-6552)
- Lucian Beer (ORCID: https://orcid.org/0000-0003-4388-7580)
- Sarah Poetter‐Lang (ORCID: https://orcid.org/0000-0002-8843-0958)
- Benedikt Simbrunner
- Alexander Herold (ORCID: https://orcid.org/0000-0003-0356-7339)
- Michael Weber (ORCID: https://orcid.org/0000-0002-8507-2219)
- Daniel Sobotka
- Georg Langs
- Ahmed Ba‐Ssalamah (ORCID: https://orcid.org/0000-0002-3527-404X)
- Georg Semmler (ORCID: https://orcid.org/0000-0002-0411-166X)
- Mattias Mandorfer (ORCID: https://orcid.org/0000-0003-2330-0017)
- Thomas Reiberger (ORCID: https://orcid.org/0000-0002-4590-3583)
- Michael A Trauner (ORCID: https://orcid.org/0000-0002-1275-6425)
- Barbara Daria Wichtmann (ORCID: https://orcid.org/0000-0001-8020-0202)
- Sami A Ba-Ssalamah
Institutions
- University Hospital Bonn (DE)
- Medical University of Vienna (AT)
Publication Details
- Journal
- European Radiology Experimental
- Published
- 2025-08-12
- DOI
- https://doi.org/10.1186/s41747-025-00612-y
- Citations
- 2
- Primary Topic
- Liver Disease and Transplantation
- Type
- article
- Field-Weighted Citation Impact
- 2.64
Funders
- European Commission
- HORIZON EUROPE Framework Programme
- HORIZON EUROPE Reforming and enhancing the European Research and Innovation system