Background: Globally as growing occurrence ratio of ovarian cancer as well as efficacy of Gynecologic-Imaging Reporting-and-Data-System GI-RADS to diagnose pathologies like ovaries cancer, we designed for evaluating the presentation of diagnosis of this system to differentiate among the adnexal benign and malignant lesions. For routine gynecologic examinations, pelvic ultrasound is generally used, consequential in analysis of adnexal lesions, main stream of which are benign or functional. Though, because of probable difficulties including benign adnexal cyst (i.e. pelvic pain and adnexal torsion) as well as ultimate significance of initial analysis as well as cure of ovarian cancer, precise ultrasound analysis of adnexal lesions is important in clinical run through

Methods: We searched google scholar and pubmed form 2000 to December 2019. Selection criteria reporting on the accuracy of GI-R-A-D-S system in ultrasound.

Results: In this study, we evaluated 197 women with suspected appendicitis. The proportions 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). For the high-risk and low-risk GI-RADS subtypes, 72.5% were classified as GI-RADS II and III, and 26 were classified as GI-RADS IV and V, respectively. Conclusive histopathologic analysis was testified for 158 cases. Histopathologic assessment designated that 12(7.6%) of were malignant masses as well as 146(92.6%) were benign. Associating by histopathologic analysis, the GIRADS system specificity, sensitivity, negative predictive value and positive predictive value, as well as negative LR were 91.6, 80.82, 28.2, 99.1, 4.77, and 0.10, correspondingly. The accurateness of the scoring system was 81.64%.

Conclusion: This systemic review concluded that by Gynecologic-Imaging-Reporting-Data System, we could measure the possibility of malignant stage through such an organized along with modest recording system thus that system could be valuable in clinician to perform a suitable clinical organization

Keywords: Adnexal Diseases, Ovarian Neoplasms, Ultrasonography.