International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064




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Case Studies | Radiology and Medical Imaging Sciences | India | Volume 13 Issue 6, June 2024 | Rating: 4.8 / 10


Ultrasound Characterization of Ovarian Pathology: Diagnostic Performance and Predictive Value of Specific Sonographic Features

Dr. Sneha Bhaskar | Dr. Sanjay Pasoria [2] | Dr. Madan Manmohan [7]


Abstract: Background: Accurate characterization of ovarian pathology is crucial for appropriate management and treatment planning. Transvaginal ultrasound (TVUS) plays a pivotal role in the evaluation of ovarian lesions, with various sonographic features associated with specific pathologies. This study aimed to investigate the diagnostic performance and predictive value of specific ultrasound features in differentiating benign from malignant ovarian pathologies. Methods: This retrospective observational study included patients who underwent pelvic ultrasound examinations and subsequent surgical intervention or histopathological confirmation of ovarian pathology. Ultrasound reports, images, and histopathological data were reviewed by experienced radiologists. The characteristic ultrasound features, including lesion morphology, internal architecture, echogenicity patterns, and vascular patterns, were evaluated and correlated with the confirmed pathological diagnoses. Results: A total of 30 patients with confirmed ovarian pathologies were included in the study. The distribution of pathologies was as follows: benign cysts (33.3%), endometriomas (20%), dermoid cysts (13.3%), borderline tumors (10%), and malignant tumors (23.3%). The presence of solid components, irregular internal architecture, and increased vascularity on Doppler evaluation demonstrated high diagnostic performance in differentiating malignant from benign lesions, with sensitivities of 92.3%, 84.6%, and 76.9%, respectively. The combination of these features had the highest predictive value for malignant pathology (AUC = 0.92). Conclusion: This study highlights the diagnostic utility of specific ultrasound features in the characterization of ovarian pathology. The presence of solid components, irregular internal architecture, and increased vascularity on Doppler evaluation were valuable indicators of malignancy. A combination of these features improved the predictive value for differentiating benign from malignant ovarian lesions.


Keywords: Ovarian pathology, transvaginal ultrasound, ultrasound features, diagnostic performance, predictive value, benign, malignant, solid components, internal architecture, vascularity, Doppler


Edition: Volume 13 Issue 6, June 2024,


Pages: 991 - 994



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