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

Authors : Birkan Karayünlü, Mehmet Ünsal, Fatih Kiliç, Taner Aksoy, Fatih Çelik, Çiğdem Kiliç, Abdurrahman Alp Tokalioglu, Günsu Kimyon Cömert, Taner Turan

Pages : 69-74

Doi:10.52827/hititmedj.1126093

View : 23 | Download : 22

Publication Date : 2023-06-28

Article Type : Research Article

Abstract :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 <0.05). Conclusions: The detection of extrauterine spread is essential in planning a patient’s treatment. The definition of this spread by using clinical and pathological factors would contribute to determining the appropriate therapy in a group of patients who underwent insufficient surgery or in whom surgery would otherwise cause significant morbidity.
Keywords : Endometrium kanseri, ekstrauterin yayılım, lenfatik/lenfatik olmayan metastaz