Role of Ovarian Adnexal Reporting Data System (O-Rads) – Magnetic Resonance Imaging (Mri) in Assessment of Ovarian Lesions with Histopathological Correlation

  • Navin Kumar et al.
Keywords: Ovarian-Adnexal Reporting and Data System (ORADS), Magnetic resonance imaging (MRI), Adnexal / ovarian lesions.

Abstract

INTRODUCTION - The Ovarian-Adnexal Reporting and Data System (O-RADS) - MRI scoring system estimates the likelihood of malignancy by evaluating the MRI characteristics of an adnexal lesion. This scoring system includes five categories indicating malignancy based on MRI characteristics of the lesions that effectively distinguish between benign and malignant masses [6]. This study aims to evaluate the performance of the five-point Ovarian Adnexal Reporting Data System (O-RADS) MRI score in patients with adnexal lesions using histopathological findings as a reference standard.

MATERIALS AND METHODS : All female patients fulfilling the inclusion criteria referred to the department of Radio-diagnosis were included in this study for evaluation of sonographically indeterminate adnexal lesions using Magnetic Resonance Imaging (MRI) (1.5 Tesla whole body MR systems) followed by categorization of the lesions using ORADS-MRI risk stratification system and later findings were correlated with post-surgical histopathology reports.

RESULTS : In our study ORADS-MRI risk stratification system in comparison with histopathological reports showed a sensitivity of 90.32 %, specificity of 100%, positive predictive value of 100%, negative predictive value of 90.62%. The area under the ROC curve was 0.965 (95% C.I) with a statistically significant p value (p < 0.001). ROC curve analysis of ORADS MRI scoring system showed cut off threshold ORADS MRI score as 3, above which ovarian lesions were classified as malignant lesions.

CONCLUSION : This study validated the effectiveness of a 5-point ORADS-MRI risk stratification scoring system and provides robust supporting evidences, leading to the introduction of this score in clinical practice could enable a personalized approach for managing sonographically indeterminate masses, helping to avoid unnecessary surgeries, minimize the extent of surgeries, or preserve fertility when suitable, while also ensuring the preoperative identification of lesions with a high risk of malignancy

Author Biography

Navin Kumar et al.

1Dr. Navin Kumar, 2Dr. Pratap Kumar, 3Dr. Poomalar, 4Dr. Erli Amel Ivan, 5Dr. Umamageswari
1 3rd Year Postgraduate, Department of Radio Diagnosis, Sri Manakula Vinayagar Medical College and Hospital, Puducherry
2 Professor, Department of Radio Diagnosis, Sri Manakula Vinayagar Medical College and Hospital, Puducherry
3 Professor and Head, Department of OBG, Sri Manakula Vinayagar Medical College and Hospital, Puducherry
4 rofessor and Head, Department of Pathology, Sri Manakula Vinayagar Medical College and Hospital, Puducherry
5 Professor and Head, Department of Radio Diagnosis, Sri Manakula Vinayagar Medical College and Hospital, Puducherry

Published
2024-02-04
Issue
Volume 2024
Section
Regular Issue

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