A fusion-based deep-learning algorithm predicts PDAC metastasis based on primary tumour CT images: a multinational study
This study represents a pioneering utilisation of a high-performance deep-learning model to predict extrapancreatic organ metastasis in patients with PDAC.
Authors
- Casper W.F. van Eijck (ORCID: https://orcid.org/0000-0002-1461-6725)
- Xavier Merino (ORCID: https://orcid.org/0000-0002-1985-9363)
- María J. Ledesma‐Carbayo (ORCID: https://orcid.org/0000-0001-6846-3923)
- John J. Hermans (ORCID: https://orcid.org/0000-0001-9207-0548)
- Sergio Sabroso‐Lasa (ORCID: https://orcid.org/0000-0001-7002-556X)
- Núria Malats (ORCID: https://orcid.org/0000-0003-2538-3784)
- Megan Schuurmans (ORCID: https://orcid.org/0000-0002-4939-6187)
- Marc Olano (ORCID: https://orcid.org/0000-0003-4209-6103)
- Lidia Estudillo (ORCID: https://orcid.org/0000-0003-3891-3713)
- Ruitai Fan (ORCID: https://orcid.org/0000-0002-1371-8930)
- Junqi Liu (ORCID: https://orcid.org/0000-0002-6015-1033)
- Nannan Xue
- Maria Munzo-Beltran
Institutions
- Radboud University Nijmegen (NL)
- Radboud University Medical Center (NL)
- Spanish National Cancer Research Centre (ES)
- Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (ES)
- Hospital General de Catalunya (ES)
- Vall d'Hebron Hospital Universitari (ES)
- Centro de Investigación del Cáncer (ES)
- First Affiliated Hospital of Zhengzhou University (CN)
- Hospital Universitario Ramón y Cajal (ES)
- Universidad Politécnica de Madrid (ES)
- Erasmus University Rotterdam (NL)
Publication Details
- Journal
- Gut
- Published
- 2025-06-19
- DOI
- https://doi.org/10.1136/gutjnl-2024-334237
- Citations
- 1
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 1.05
Funders
- China Scholarship Council
- Horizon 2020 Framework Programme