Predicting biliary stricture after liver transplantation based on CT imaging features combined with clinicopathological factors
The nomogram based on independent risk factors effectively identified patients at high risk of BS post-liver transplantation.
Authors
- Wanqian Guo (ORCID: https://orcid.org/0009-0003-8685-8664)
- Bosen Xie (ORCID: https://orcid.org/0009-0000-0479-9030)
- Liming Tang (ORCID: https://orcid.org/0000-0002-3730-3131)
- Hu Ha (ORCID: https://orcid.org/0000-0002-9714-9324)
- Caiqiong Wang
- Yu Bao (ORCID: https://orcid.org/0000-0002-5992-3323)
- Y. Q. Qi (ORCID: https://orcid.org/0009-0007-5335-2770)
- Yan Li (ORCID: https://orcid.org/0000-0002-9481-8086)
- Yübo Wang (ORCID: https://orcid.org/0000-0002-2708-3526)
- Fan Zhang (ORCID: https://orcid.org/0000-0003-0458-6742)
- Wei Li (ORCID: https://orcid.org/0000-0002-2979-5738)
- Bin Yang
- Yonghua Liu (ORCID: https://orcid.org/0000-0002-3637-7796)
Institutions
- Kunming Medical University (CN)
- Second Affiliated Hospital of Kunming Medical College (CN)
- The First Hospital of Kunming (CN)
- First Affiliated Hospital of Kunming Medical University (CN)
- Puer University (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2025-09-29
- DOI
- https://doi.org/10.1186/s12880-025-01866-z
- Citations
- 1
- Primary Topic
- Organ Transplantation Techniques and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 2.01
Funders
- National Natural Science Foundation of China