A nomogram for predicting lymph node metastasis of presumed stage I and II endometrial cancer.

Objective: Our objective was to develop a nomogram based on pathological hysterectomy characteristics to provide a more individualized and accurate estimation of lymph node metastasis in endometrial cancer.

Study Design: Data from the Surveillance, Epidemiology, and End Results database for 18,294 patients who underwent hysterectomy and lymphadenectomy were analyzed. A multivariate logistic regression analysis of selected prognostic features was performed, and a nomogram to predict lymph node metastasis was constructed. A cohort of 434 patients was used for the external validation.

Results: The nomogram showed good discrimination with an area under the receiver operating characteristic curve of 0.80 (95% confidence interval, 0.79-0.81) in the training set and 0.79 (95% confidence interval, 0.78-0.80) in the validation set. The nomogram was well calibrated.

Conclusion: We developed a nomogram based on 5 clinical and pathological characteristics to predict lymph node metastasis with a high concordance probability.