Deep learning analysis of MRI accurately detects early-stage perihilar cholangiocarcinoma in patients with primary sclerosing cholangitis

The 3D DenseNet-121 MRI model effectively detects early-stage pCCA in PSC patients. Compared to expert radiologists, the model missed fewer cases of cancer.

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Publication Details

Journal
Hepatology
Published
2025-03-20
DOI
https://doi.org/10.1097/hep.0000000000001314
Citations
8
Primary Topic
Liver Diseases and Immunity
Type
article
Field-Weighted Citation Impact
10.58
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article

Deep learning analysis of MRI accurately detects early-stage perihilar cholangiocarcinoma in patients with primary sclerosing cholangitis

Julie K. Heimbach, Shahriar Faghani, Gregory James Gores, Sumera I. Ilyas et al.
8 citations
Hepatology
Liver Diseases and Immunity
10.58
article

Deep learning analysis of MRI accurately detects early-stage perihilar cholangiocarcinoma in patients with primary sclerosing cholangitis

Julie K. Heimbach, Shahriar Faghani, Gregory James Gores, Sumera I. Ilyas, Bradley J. Erickson, Nicholas F. LaRusso, Kristin Kaasen Jørgensen, John E. Eaton, Konstantinos N. Lazaridis, Aliya Gulamhusein, Tayyab S. Diwan, Anne Negård, Byron H. Smith, Trine Folseraas, Mette Vesterhus, Timuçin Taner, Kartik Jhaveri, Sudhakar K. Venkatesh, Ida Bjoerk, Andreas Abildgaard, Kosta Petrovic, Christopher L. Welle, Yashbir Singh, Tom H. Karlsen
article en
8 citations

Abstract

The 3D DenseNet-121 MRI model effectively detects early-stage pCCA in PSC patients. Compared to expert radiologists, the model missed fewer cases of cancer.

HepatologyVol. 83(1)
Oslo University Hospital (NO), University Health Network (CA), Mayo Clinic (US), Eaton (Taiwan) (TW), University of Oslo (NO), University of Toronto (CA), Akershus University Hospital (NO), Haukeland University Hospital (NO), WinnMed (US), Mayo Clinic in Arizona (US), Toronto Liver Centre (CA), University of Bergen (NO)
Good health and well-being
Openalex Percentile: Top 1%
Liver Diseases and Immunity
10.58
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