A logistic regression model to predict long-term survival for borderline resectable pancreatic cancer patients with upfront surgery
Age, vascular invasion length, vascular morphological malformation, and local lymphadenopathy were independent risk factors for long-term survival of BRPC patients with upfront surgery. The logistic regression model plays a predictive role in long-term survival and may further assist surgeons in deciding the treatment option for BRPC patients.
Authors
- Bing Pan (ORCID: https://orcid.org/0000-0001-8907-8100)
- Jincan Huang (ORCID: https://orcid.org/0009-0003-4548-1266)
- Tao Jiang (ORCID: https://orcid.org/0000-0002-5600-3548)
- Shaocheng Lyu (ORCID: https://orcid.org/0000-0002-2757-7868)
- Qiang He (ORCID: https://orcid.org/0000-0003-2434-1275)
- You-Wei Ma
- Ren Lang (ORCID: https://orcid.org/0000-0001-8995-8749)
- Han-Xuan Wang
Institutions
- Capital Medical University (CN)
- Beijing Chao-Yang Hospital, Capital Medical University (CN)
Publication Details
- Journal
- Cancer Imaging
- Published
- 2025-02-05
- DOI
- https://doi.org/10.1186/s40644-025-00830-y
- Citations
- 7
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 7.32
Funders
- Capital Medical University