Objective To investigate the risk factors for lymph node metastasis in cT1N0M0 stage lung squamous cell carcinoma and develop a logistic regression model to predict lymph node metastasis. Methods A retrospective study was conducted on patients with cT1N0M0 stage lung squamous cell carcinoma treated in the Department of Thoracic Surgery, Tongji Hospital, Huazhong University of Science and Technology from August 2017 to October 2022. The correlation between basic clinical data, imaging data, and pathological data and lymph node metastasis was analyzed. Univariate and multivariate logistic regression analyses were employed for risk factor analysis. Receiver operating characteristic curves and the Hosmer-Lemeshow test were utilized to evaluate the model’s discrimination and calibration. The Bootstrap method with 1 000 resamples was employed for internal validation of the model. Results A total of 192 patients were included, among whom 175 were male and 17 were female. Central tumors, poorly differentiated tumors, cytokeratin 19 fragment (CYFRA21-1) levels, and tumor size were independent risk factors for lymph node metastasis in cT1N0M0 stage lung squamous cell carcinoma. The optimal cutoff values for tumor size and CYFRA21-1 levels were determined to be 2.05 cm and 4.20 ng/mL, respectively. A predictive model incorporating tumor location, CYFRA 21-1 levels, and tumor size demonstrated superior predictive performance compared to models based on any single factor alone. Conclusion Tumor location of central-type, poorly differentiated tumors, CYFRA21-1 levels, and tumor size are risk factors for lymph node metastasis in cT1N0M0 stage lung squamous cell carcinoma. The combined predictive model has certain guiding significance for intraoperative lymph node resection strategies in cT1N0M0 stage lung squamous cell carcinoma.
