Diagnostic accuracy of gynecology imaging reporting and data system in evaluation of adnexal lesions

Background: Considering the increasing incidence rate of ovarian cancer in worldwide and the utility of Gynecologic Imaging Reporting and Data System (GI-RADS) in diagnosing malignant adnexal lesions such as ovarian cancer, we aimed to evaluate the diagnostic performance of this reporting system in differentiating between malignant and benign adnexal lesions. Materials and Methods: In this cross-sectional study, women with suspected adnexal lesions were enrolled. For differentiating of malignant adnexal lesions, Grade II and III of GI-RADS system were classified as low risk for malignancy and Grades IV and V as high risk. Results of histopathologic diagnosis were compared with the results of the mentioned GI-RADS system classification, and the diagnosed accuracy of the system was determined. Patients who did not have histopathologic diagnosis were followed up. Results: In this study, 197 women with suspected adnexal lesions were evaluated. Frequency of GI-RADS II, III, IV, and V were 34.5% (69 cases), 38.0% (76 cases), 19.5% (39 cases), and 6.5% (13 cases), respectively. According to the low- and high-risk classification of GI-RADS, 72.5% were classified as GI-RADS II and III and 26% as GI-RADS IV and V, respectively. Definitive histopathologic diagnosis was reported for 158 cases. Histopathologic evaluation indicated that 12 (7.6%) of the masses were malignant and 146 (92.6%) were benign. Comparing with the histopathologic diagnosis, the GI-RADS system sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio (LR), and negative LR were 91.6%, 80.82%, 28.2%, 99.1%, 4.77, and 0.10, respectively. The accuracy of the scoring system was 81.64%. Conclusion: Our findings indicated that using GI-RADS, we could quantify the risk of malignancy by such a structured as well as simple reporting system so that the system could be useful for clinicians for performing an appropriate clinical management.