Clinicopathological features of patients undergoing surgery for pancreatic cancer with very early postoperative recurrence
Poorly differentiated tumors are a key predictor of VER, linked to higher mortality. Machine learning enhances predictive accuracy, and molecular studies are needed to elucidate VER mechanisms. Tailored surveillance and multi-institutional validation are recommended.
Authors
- Hüseyin Oytun İnsan (ORCID: https://orcid.org/0000-0002-7987-5277)
- Hüseyin Fahri Martlı (ORCID: https://orcid.org/0000-0002-2933-3170)
- Osman Ersoy (ORCID: https://orcid.org/0000-0002-1364-5962)
- Betül Erişmiş (ORCID: https://orcid.org/0000-0003-2970-2076)
- Mehmet Keşkek (ORCID: https://orcid.org/0000-0002-6685-8953)
- Mesut Tez (ORCID: https://orcid.org/0000-0001-5282-9492)
- Velihan Çayhan
- M. Altaş
Institutions
- Bilkent University (TR)
- Memorial Ankara Hospital (TR)
- Ankara Numune Eğitim ve Araştırma Hastanesi (TR)
- Başkent University Hospital (TR)
Publication Details
- Journal
- World Journal of Gastrointestinal Surgery
- Published
- 2025-11-25
- DOI
- https://doi.org/10.4240/wjgs.v17.i11.111202
- Citations
- 2
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 2.09