A noninvasive approach based on ultrasonography and machine learning for selective cervical lymphadenectomy in thoracic esophageal cancer
This study highlights the diagnostic value of ultrasonography for cervical nodal metastasis in ESCC and proposes an ML-based noninvasive method to inform decisions on lymph node dissection. The predictive model may enhance surgical planning and enable personalized treatment strategies.
Authors
- Fanfan Fan (ORCID: https://orcid.org/0009-0002-0898-5054)
- Yongfu Yu
- Yike Li (ORCID: https://orcid.org/0000-0001-8465-130X)
- Jiaqing Xiang (ORCID: https://orcid.org/0000-0001-9636-2150)
- Yuan Ma
- Chaoqiang Deng (ORCID: https://orcid.org/0000-0002-3910-9519)
- Fangqiu Fu (ORCID: https://orcid.org/0000-0001-5791-4741)
- Yunjian Pan (ORCID: https://orcid.org/0000-0002-6117-8385)
- Qingyuan Huang (ORCID: https://orcid.org/0000-0003-4389-6188)
- Yue Zhao (ORCID: https://orcid.org/0000-0003-3645-2634)
- Yihua Sun (ORCID: https://orcid.org/0000-0002-5287-0601)
- B. Li (ORCID: https://orcid.org/0000-0003-4002-5723)
- Yi Gao (ORCID: https://orcid.org/0009-0003-8418-8759)
- Yang Zhang (ORCID: https://orcid.org/0009-0008-6945-834X)
- Yawei Zhang (ORCID: https://orcid.org/0009-0000-1674-7107)
- Yiliang Zhang
- Haiquan Chen (ORCID: https://orcid.org/0000-0003-1689-0549)
Institutions
- Shanghai Medical College of Fudan University (CN)
- Fudan University (CN)
- Fudan University Shanghai Cancer Center (CN)
- Chinese Institute for Brain Research (CN)
- Vanderbilt University Medical Center (US)
Publication Details
- Journal
- International Journal of Surgery
- Published
- 2025-10-27
- DOI
- https://doi.org/10.1097/js9.0000000000003803
- Citations
- 1
- Primary Topic
- Esophageal Cancer Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 2.01