A model for predicting extrauterine tumor spread in patients with endometrial cancer

A model for predicting extrauterine tumor spread in patients with endometrial cancer Abstract Background: The factors predicting extrauterine spread in patients undergoing staging surgery with the diagnosis of endometrial cancer were investigated. Aims: The study aimed to create a model using demographic, surgical, and pathological factors to predict extrauterine spread. Methods: Included in the study were 355 patients with a final diagnosis of endometrial cancer who underwent surgery for staging purposes. The effect of surgical-prognostic factors on extrauterine spread was analyzed using univariate analysis and multivariate logistic regression analysis. Results: Extrauterine spread was detected in 97 patients. A multivariate logistic regression model that was created to determine the factors affecting extrauterine spread identified the presence of lymphovascular invasion, cervical invasion, peritoneal cytology positivity and tumor type as independent factors. A model was created using these four independent risk factors. According to this model, the rate of extrauterine spread was 6.4% in patients who did not have the risk factors and 100% in patients who had all the risk factors (p