Comparing the Diagnostic Precision of the RMI and ADNEX Models in Identifying the Ovarian Tumor

Abstract

Objectives: To assess the diagnostic precision of the ADNEX and RMI models in distinguishing between benign and malignant ovarian tumors while taking histopathology as the gold standard.

Study type: Validation study.

Study duration: 5th April 2022 to 4th October 2022 Settings: Department of Obstetrics & Gynecology, Benazir Bhutto hospital Rawalpindi.

Materials & Methods: 165 patients between the ages of 14 and 65 who had at least one ovarian, para-ovarian, or tubal adnexal mass with a smallest diameter > 3 cm on ultrasound examination were included. Patients who had undergone bilateral adnexectomy or who had an adnexal mass under follow-up prior to the study's commencement were not included. The RMI/ADNEX score was computed. The patient was categorized as either low risk or high risk. To determine the predictive value of both models, the values were correlated with the histology report following surgery. Histopathological analysis of removed tissue serves as the foundation for the reference standard.

Results: The RMI model's diagnostic accuracy, sensitivity, specificity, PPV, and NPV in telling the difference between benign and malignant ovarian masses were 90.11%, 85.14%, 88.17%, 87.50%, and 87.88%, respectively. ADNEX showed sensitivity of 85.56%, a specificity of 81.33%, a PPV of 84.62%, an NPV of 82.43%, and a diagnostic accuracy of 83.64%. Conclusion: This study concluded that diagnostic accuracy of RMI model in differentiation of benign and malignant ovarian masses is better than ADNEX model.