A novel deep learning radiopathomics model for predicting carcinogenesis promotor cyclooxygenase-2 expression in common bile duct in children with pancreaticobiliary maljunction: a multicenter study
Predicting biliary COX-2 expression in pancreaticobiliary maljunction (PBM) is critical but challenging. A deep learning radiopathomics model achieved high predictive accuracy for COX-2. The model supports patient stratification and personalized postoperative management in PBM.
Authors
- Wan‐liang Guo (ORCID: https://orcid.org/0000-0003-3849-2904)
- Jianjun Zhang (ORCID: https://orcid.org/0000-0002-9853-3416)
- Bin Zhu (ORCID: https://orcid.org/0000-0002-0638-4215)
- Huimin Mao
Institutions
- Soochow University (CN)
- Xuzhou Children Hospital (CN)
- Children's Hospital of Suzhou University (CN)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2025-03-27
- DOI
- https://doi.org/10.1186/s13244-025-01951-5
- Citations
- 1
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 1.05
Funders
- National Natural Science Foundation of China