VP04.18: Association between the ovarian adnexal reporting and data system in adnexal masses and the type of specialist in gynecology

Abstract

91, p = 0.008) than with benign vs borderline (AUC 0.59, CI: 0.37-0.80, p = 0.535) or benign vs stage I tumours (AUC 0.60, CI: 0.39-0.81, p = 0.427). Using ORADS AUC was 0.77 (CI 0.64-0.89, p = 0.001). Sensitivity was 96.3% and specificity was 38.7% at the optimal cut-off point of O-RADS 4 that corresponds to intermediate risk (10-< 50%). Higher specificity (80.6%) can be achieved at cut-off point of O-RADS 5 but sensitivity declines to 59.3%. Conclusions: Models of risk prediction are essential helping guide a decision in ovarian adnexal masses. We conclude that in our sample IOTA ADNEX model performed better than IOTA simple rules and O-RADS. VP04.18Association between the ovarian adnexal reporting and data system in adnexal masses and the type of specialist in gynecology