| dc.description.abstract |
Introduction: Accurate characterization of ovarian lesions is crucial for
appropriate clinical management, as it directly influences the decision
between conservative follow-up, medical management, or surgical
intervention. The Ovarian-Adnexal Reporting and Data System (O-
RADS) has emerged as a standardized risk stratification system aimed at
improving diagnostic accuracy and clinical management of ovarian-
adnexal pathologies. This study was undertaken to compare the
diagnostic performance of ultrasonography (USG) and magnetic
resonance imaging (MRI) in the evaluation of ovarian lesions using the
O-RADS classification system.
Materials and Methods:
This prospective observational study was
conducted in the Department of Radiodiagnosis at Shri B M Patil Medical
College Hospital & Research Centre, Vijayapura from April 2023 to
April 2025. A total of 44 patients with clinically suspected ovarian
lesions who underwent both USG and MRI followed by histopathological
confirmation were included. Lesions were characterized according to the
O-RADS classification on both modalities, and the findings were
correlated with histopathological results. “Statistical analysis was
performed to determine sensitivity, specificity, positive predictive value,
and negative predictive value of both imaging modalities.”
Results:
The mean age of patients was 35.7 years, with the majority
(65.9%) in the 21-40 years age group. Abdominal pain was the
predominant clinical presentation (90.9%). Both USG and MRI showed
identical morphological characterization of lesions, with multilocular
cystic lesions without solid components being the most common (29.5%).
The distribution of O-RADS scores was similar between both modalities,
with most lesions classified as O-RADS 3 (61.4% on USG and 63.6% on
MRI). Histopathologically, 79.5% of lesions were benign and 20.5% were
malignant. A significant association was found between O-RADS scores
and malignancy (p<0.001), with all O-RADS 3 lesions being benign and
most O-RADS 5 lesions (80%) being malignant. Both USG and MRI
demonstrated identical diagnostic performance with “100% sensitivity,
95% specificity, 98% positive predictive value, and 97% negative
predictive value.”
Conclusion: Both ultrasonography and magnetic resonance imaging,
when utilized within the framework of the O-RADS classification system,
provide excellent and comparable diagnostic accuracy in the evaluation of
ovarian lesions. The significant association between O-RADS scores and
histopathological outcomes validates the clinical utility of this
classification system for risk stratification and management planning. A
tiered imaging approach, with ultrasonography as the first-line modality
and MRI reserved for specific indications, appears to be the most rational
and cost-effective strategy for evaluating ovarian lesions. |
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