An artificial intelligence-assisted comprehensive model for predicting lymph node metastasis in superficial esophageal squamous cell carcinoma: a diagnostic study
An integrated clinical-radiomics model offers effective prediction of LN metastasis in superficial ESCC, thereby potentially improving treatment decision-making and enabling personalized therapeutic strategies for patients with superficial ESCC.
Authors
- Songping Xie (ORCID: https://orcid.org/0000-0001-6519-6903)
- Ningning Kang (ORCID: https://orcid.org/0009-0006-6945-7430)
- Harrison Pan (ORCID: https://orcid.org/0009-0003-7472-3199)
- Haibao Wang (ORCID: https://orcid.org/0000-0002-3174-1907)
- Jie Fang (ORCID: https://orcid.org/0000-0003-1301-6215)
- H Xu
- Qi Zhang
- Guangyao Ning
- Hao Zheng
- Wei Ge
- Yucheng Bai
- Renquan Zhang
Institutions
- Anhui Medical University (CN)
- Anhui University of Traditional Chinese Medicine (CN)
- Fuyang Maternity and Child Health Care Hospital (CN)
- First Affiliated Hospital of Anhui Medical University (CN)
- Fuyang Second People's Hospital (CN)
Publication Details
- Journal
- International Journal of Surgery
- Published
- 2026-02-25
- DOI
- https://doi.org/10.1097/js9.0000000000004969
- Primary Topic
- Esophageal Cancer Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00