Authors : Ajay Lucas Rubben Prabhu, Abdul Majith Seeni Mohammed, Seetha Rashi*, Muthiah Pitchandi, Abilash Simon Raj
DOI : 10.18231/j.ijogr.2025.053
Volume : 12
Issue : 2
Year : 2025
Page No : 310-317
Background: Ovarian pathology presents a wide spectrum of conditions ranging from benign cysts to life-threatening malignancies, often complicating diagnosis and treatment. Early and accurate differentiation between benign and malignant ovarian masses is crucial for effective management. The Ovarian-adnexal reporting and data system (O-RADS), utilizing MRI, offers a standardized approach for evaluating ovarian lesions. This study aims to assess the diagnostic accuracy and clinical utility of the MRI based O-RADS in the risk stratification of ovarian pathology, with correlation to histopathological findings and serum tumour markers. Materials and Methods: This prospective observational study involved 50 patients suspected of having ovarian or adnexal pathology. All patients underwent MRI using a 1.5 Tesla system, with imaging findings evaluated based on the O-RADS scoring system. The MRI results were correlated with histopathological examination and serum tumour marker levels. Diagnostic performance was assessed by calculating sensitivity, specificity, positive predictive value, negative predictive value, and overall diagnostic accuracy. Statistical analysis was performed using SPSS version 23.0, and agreement between MRI, histopathology, and tumour markers was evaluated using correlation coefficients and contingency tables. Results: The study demonstrated that the MRI-based O-RADS demonstrated high diagnostic accuracy in distinguishing between benign and malignant ovarian lesions with sensitivity of 92% and specificity of 85%. MRI findings showed strong correlation with histopathological results (p < 0> Conclusion: MRI-based O-RADS is a reliable tool for risk stratification and management of ovarian pathology, offering high diagnostic accuracy and aiding in clinical decision-making. Its use could improve patient outcomes by enabling early and precise differentiation between benign and malignant ovarian lesions. Keywords: MRI, O-RADS, Ovarian pathology, Risk stratification, Histopathology, Serum tumour markers.