Predictive value of current nodal staging systems and development of machine learning nomogram for resectable pancreatic head cancer: a population-based study and multicenter validation
The nodal staging system LODDS is the optimal prognostic factor for OS in resectable PHC. It could effectively predict OS for resectable PHC patients without considering the numbers of RLN. The machine learning model could effectively predict OS for patients with resectable PHC.
Authors
- Boyuan Liu (ORCID: https://orcid.org/0000-0002-0785-1882)
- Gao Huang (ORCID: https://orcid.org/0000-0002-7251-0988)
- Minggen Hu (ORCID: https://orcid.org/0000-0001-7933-7850)
- Yuan‐Xing Gao
- Yu-Yao Song
- Rong Liu (ORCID: https://orcid.org/0000-0001-5170-6474)
- Shuai Xu (ORCID: https://orcid.org/0000-0001-7919-2874)
- Wenbo Zou (ORCID: https://orcid.org/0000-0002-9759-0291)
- Xiuping Zhang (ORCID: https://orcid.org/0000-0001-7460-1886)
- Zhiming Zhao (ORCID: https://orcid.org/0000-0002-2844-3503)
Institutions
- Chinese PLA General Hospital (CN)
- Shandong Provincial Hospital (CN)
- 81th Hospital of PLA (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-12-02
- DOI
- https://doi.org/10.3389/fimmu.2025.1639186
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Guangxi Province
- Fundamental Research Funds for the Central Universities