Establishment of Lymph Node Metastasis Prediction Model For T1a Gastric Cancer

Abstract Background and Aims: Endoscopic resection has been widely used in the treatment of early gastric cancer recent tears. For patients undergoing endoscopic resection, lymph node metastasis is an important prognostic factor. Thus, we built a model to predict the likelihood of lymph node metastasis in early gastric cancer.Methods: Data of 789 gastric cancer patients were obtained from the Surveillance, Epidemiology, and End Results (SEER) database. We picked several variables and chi-square analysis was used to come up with statistically significant factors. Then, we used these factors to build a nomogram predicting the lymph node metastasis risk in T1a gastric cancer. Finally, we evaluated this nomogram using C-index, ROC curve and DCA.Results: We built a nomogram based on four factors. The C-index of this nomogram was 0.750. The AUC value of ROC curve for this nomogram was 0.750. DCA showed that it would be beneficial to use this nomogram if the threshold probability was between 0.01 and 0.41.Conclusion: This study built a nomogram to predicted the lymph node metastasis risk in T1a gastric cancer based on four factors. Upon evaluation, this nomogram has a good ability of predicting the risk of lymph node metastasis.