Risk prediction for development of benign ovarian tumors in postmenopause

Objective. To calculate the risk prediction of benign ovarian tumor (BOT) development in postmenopausal patients. Materials and methods. 60 postmenopausal women participated in the prospective study. The patients were divided into 2 groups: the main group which included women with BOT and comparison group – patients with no neoplasms of the uterine appendages. The clinical and medical history data were assessed, laboratory tests (vitamin D level, insulin-like growth factor 1, leptin, zinc, estradiol, testosterone, sex steroid-binding globulin, cancer marker 125) were performed, results of instrumental methods of examination (pelvic ultrasound) were analyzed as well as surgical treatment protocols and histological studies. Regression analysis of the data obtained was carried out, statistically significant features were determined and the mathematical model for the risk prediction of the development of BOT in postmenopause was created. Results. The investigation showed that an isolated assessment of the studied laboratory markers has no statistical significance for determining the risk of developing postmenopausal ovarian tumors; a multifactorial approach is relevant, that is assessing a combination of factors. Conclusions. The developed mathematical model for predicting the development of postmenopausal ovarian tumors demonstrated an increase in the effectiveness of risk prognosis for developing postmenopausal ovarian tumors in postmenopausal patients, the sensitivity of the developed method was 95 %, specificity 85.7 %.