Deep learning radiomics nomogram for preoperatively identifying moderate-to-severe chronic cholangitis in children with pancreaticobiliary maljunction: a multicenter study
The integrated DLRN can be a useful and non-invasive tool for preoperatively identifying moderate-to-severe chronic cholangitis in children with PBM, potentially enhancing clinical decision-making and personalized management strategies.
Authors
- Wan‐liang Guo (ORCID: https://orcid.org/0000-0003-3849-2904)
- Siyu Shi (ORCID: https://orcid.org/0000-0001-9010-7431)
- K. Chen (ORCID: https://orcid.org/0000-0002-5542-2273)
- Bin Zhu (ORCID: https://orcid.org/0000-0002-0638-4215)
- Huimin Mao
Institutions
- Soochow University (CN)
- Shandong Provincial Hospital (CN)
- Xuzhou Children Hospital (CN)
- Children's Hospital of Suzhou University (CN)
- The Eighth Hospital of Xi'an (CN)
- Shandong First Medical University (CN)
- First Hospital of Xi'an (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2025-02-05
- DOI
- https://doi.org/10.1186/s12880-025-01579-3
- Citations
- 2
- Primary Topic
- Pediatric Hepatobiliary Diseases and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 4.01
Funders
- Jiangsu Commission of Health
- National Natural Science Foundation of China
- Soochow University