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.