Integration of clinical, pathological, and endoscopic data improves prediction for lymph node metastasis in early gastric cancer: a retrospective multicenter study
The deep learning-based intelligent system for the entire treatment process of EGC showed excellent performance in predicting LNM, offering valuable decision support for both endoscopists in pre-ESD treatment planning and surgeons in post-ESD surgical decision-making.
Authors
- Siyue Mao
- Ximei Ren (ORCID: https://orcid.org/0000-0002-2868-8869)
- Dehua Tang (ORCID: https://orcid.org/0000-0001-9028-1106)
- Yun Qian
- L. Wang
- Wei Zhang (ORCID: https://orcid.org/0000-0001-7800-3189)
- Yanjun Zhang (ORCID: https://orcid.org/0000-0002-9597-2050)
- Guifang Xu
- Tian Yang
- Yanru Wang (ORCID: https://orcid.org/0000-0001-8272-2450)
- Xiaotan Dou
- Xiwei Ding
- Anqi Dai
- Zirong Chen
- Miao Liu
- Qi Sun
- Duanming Zhuang
Institutions
- Sun Yat-sen University (CN)
- Anhui Medical University (CN)
- Nantong University (CN)
- Nanjing Drum Tower Hospital (CN)
- Gaochun People's Hospital (CN)
- The Affiliated Taizhou People's Hospital of Nanjing Medical University (CN)
- First Affiliated Hospital of Anhui Medical University (CN)
- Nanjing Jiangning Hospital (CN)
- First Hospital of Lanzhou University (CN)
- Xiamen University of Technology (CN)
- Lanzhou University (CN)
Publication Details
- Journal
- International Journal of Surgery
- Published
- 2026-01-07
- DOI
- https://doi.org/10.1097/js9.0000000000004707
- Primary Topic
- Gastric Cancer Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00