الفهرس 
FunctionsOnly 14 pages are availabe for public view
 |  | from | 139 |  |  |
| | | from | 139 | | |
Abstract
Background: Ovarian lesions present a special diagnostic challenge when imaging findings cannot be categorized into benign or malignant pathology. Ultrasonography (US), Computed Tomography (CT), and Magnetic Resonance Imaging (MRI) are currently used to evaluate ovarian tumors.
Aim of the work: The aim of this work is to determine the efficacy of the classification of ovarian lesions on an ultrasound basis.
Patients and Methods: This was a prospective observational study conducted on 30 females with ovarian lesions at the Radiology Department of Ain Shams University Hospitals for 6 months from February to august 2022.
Results: The benign lesions of O-RADS 1, O-RADS 2, O-RADS 3, O-RADS 4, and O-RADS 5 represented 5.3%, 63.2%, 15.8%, 10.5% and 5.3% respectively. The malignant lesions of O-RADS 5, O-RADS 4 represented 81.8%, and 18.2%, respectively. There was a highly statistically significant difference between benign and malignant lesions in terms of the O-RADS score (P<0.001). In order to assess the diagnostic performance of the O-RADS score to discriminate malignant from benign lesions, a ROC curve analysis was performed. O-RADS score (AUC of 0.959) showed a sensitivity of 100%, a specificity of 84.21%, PPV of 78.6%, and NPV of 100%, with the optimal cutoff value for predicting malignancy was >O-RADS 3.
Conclusion: The current study concluded the following: Ultrasonography is definitely an important non-invasive tool and is helpful in diagnosing most cases of ovarian lesions. O-RADS system has good sensitivity and moderate specificity for classifying ovarian lesions