Browsing by Author "Andrijasevic, S. (55624306100)"

Purpose: The study aim was to investigate clinical characteristics of endometrial polyps in women with and without infertility. Materials and Methods: Study included all patients of reproductive age who had a hysteroscopy due to endometrial polyps during 30 months. Patients were divided according to infertility problems. Detailed medical history was taken from all patients (age, BMI, parity, comorbidities, symptoms/signs, and polyp recurrence). On ultrasound scan, the polyp's largest diameter and endometrial thickness were assessed. During hysteroscopy localization of polyps and other intrauterine formations were registered. Removed polyps were histopathologically analyzed (size and histological type). Results: Study involved 257 patients (average 38.5 years of age), out of which 79 had infertility problem, while 178 patients constituted the control group. There were no significant differences regarding patient's BMI, age in decades, number of abortions, presence of comorbidities, taking hormone therapy, symptoms/signs, localization or diameters of polyps, polyp recurrence, other intrauterine findings, and histopathological types of polyps between women with and without infertility problems. Conclusion: Clinical characteristics of endometrial polyps are quite similar in women with and without infertility problems. © 2018 S.O.G. CANADA Inc. All rights reserved.

Introduction: Good preoperative tumor triage is essential for choosing the appropriate approach. Objective: The study aim was to identify factors from standard preoperatively collected data, which could predict the nature of adnexal masses prior surgery. Material and Methods: The study involved all women treated in the Clinic for Gynecology and Obstetrics Clinical Center of Serbia for adnexal tumors throughout a period of 18 months. On admission, detailed anamnestical and laboratory data were obtained and ultrasound scans were performed. Obtained data were compared with hystopathological findings of tumors. Methods of correlation and logistic regression were applied to create association models. Results: Three new models for predicting tumor nature were achieved from anamnestical data, characteristics of women and tumors, and laboratory analyses. Two statistically significant (p = 0.000) equations were obtained for anamnestical data and characteristics of women and tumors, while three were made for laboratory analyses. Sensitivity of anamnestical malignancy index (AMI) was 73.33%, specificity 72.87%, positive predictive value (PPV) 39.49% and negative predictive value (NPV) 91.88%. Sensitivity of characteristic malignancy index (CMI) was 92.38%, specificity 67.36%, PPV 40.59% and NPV 97.34%. Sensitivity of laboratory malignancy index (LMI) was 56.45%, specificity 90.24%, PPV 68.63%, and NPV 84.57%. Conclusions: The best predictors of malignancy are menopausal status, body mass index (BMI), age, metastases, ascites, tumor marker CEA level, and erythrocyte sedimentation rate (ESR). Along with the risk of malignancy index (RMI), for more reliable triage and preoperative tumor evaluation the authors propose introduction of another three indexes (AMI, CMI, LMI) in clinical practice.