Construction And Validation Of Nomogram For Predicting Lymph Node Metastasis In Epithelial Ovarian Cancer Based On Pathological Factors And Inflammatory Indicators

Objective: To evaluate and screen the risk factors for lymph node metastasis in epithelial ovarian cancer,this study established a nomogram model for predicting lymph node metastasis in epithelial ovarian cancer based on risk factors,and evaluated its predictive power and clinical value in predicting lymph node metastasis in epithelial ovarian cancer.Methods: The information of patients with epithelial ovarian cancer confirmed by pathology was collected,including clinical basic information,pathological information,serological metric and inflammatory index.The patients were randomly set as a training and test cohort in a ratio of 7:3.Univariate and multivariate Logistic regression analysis was used to screen out meaning risk factors based on the data of training cohort.Based on these factors,a nomogram was constructed.The C-index and calibration were used to evaluate the predictive power of the nomogram,and the DCA was used to evaluate the clinical value of the nomogram.Finally,it was validated in the test cohort.Results: 253 eligible patients with epithelial ovarian cancer were included in this study.The results of univariate and multivariate Logistic regression analysis showed that tumor histological type,FIGO stage,gravidity and tumor diameter were independent risk factors for lymph node metastasis in epithelial ovarian cancer before the inclusion of inflammatory indexes.The C-index of the nomogram established by multivariate analysis was 0.849 in the training cohort.However,the calibration of test cohort showed poor predictive ability and DCA showed low clinical application value.After including inflammatory indexes,univariate and multivariate Logistic regression analysis showed that histological type,FIGO stage,preoperative MLR and platelet count were associated with lymph node metastasis of epithelial ovarian cancer.The C-index of the nomogram established according to these 4 risk factors in the training cohort and test cohort reached0.884 and 0.843,respectively,the calibration and DCA showed that the predictive power and clinical value of the nomogram were good in the patients with epithelial ovarian cancer.Conclusions: Serous histology type,advanced FIGO stage,high MLR and low platelet count are independent risk factors for lymph node metastasis in epithelial ovarian cancer.The nomogram established based on clinicopathological features and inflammatory indicators had a good performance in predicting the risk of lymph node metastasis in epithelial ovarian cancer,and had high clinical value,which could be assisted in clinical decision-making and guided individualized therapy,and evaluate the risk of lymph node metastasis in patients with epithelial ovarian cancer.