Accuracy of imaging findings compared with that of histopathological findings of the ovarian lesions

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Date
2019-03
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Publisher
Medip Academy
Abstract
Background: Newer imaging techniques have emerged, and it is necessary to study their accuracy in comparison to the gold standard of histopathology for increasing accuracy of diagnosis. Ovarian tumors are difficult to diagnose when they are of small size. But their diagnosis should be done at an earlier stage for effective outcome of the management of these tumors. The objective was to study accuracy of imaging findings compared with that of histopathological findings of the ovarian lesions.Methods: This study was done for a period of two years from December 2010 to May 2012. A total of 30 patients who were clinically suspected to have ovarian pathology were referred to us for ultrasonography. In 30 patients, who were referred for sonography a total of 36 ovarian masses was found? Each patient was examined by Trans abdominal sonography / Trans vaginal sonography, MRI (Pre and Post contrast) and CT when required.Results: Sonography could detect the origin of mass accurately in 29 (80.5 %) masses and MRI could detect the origin accurately in 34 (94.4%) masses. Sonography characterized 33/36 (91.6%) masses correctly. MRI correctly characterized 34/36 (94.5%) cases and tissue content was identified correctly. The sensitivity of imaging findings for correctly identifying malignant lesions was 100% and sensitivity for correctly making a benign diagnosis was 92.5%. The specificity of imaging findings for correctly identifying malignant lesion was 92% and specificity for correctly making a benign diagnosis was 84.6 %.Conclusions: MRI is significantly superior to US in all respects due to the excellent soft tissue contrast and organ-specific information generated in the pelvis.
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Keywords
Accuracy, Endometriosis, MRI, Sonography, Teratoma
Citation
Kumar Ponnam Bharath, Reddy Prem Sai. Accuracy of imaging findings compared with that of histopathological findings of the ovarian lesions. International Journal of Advances in Medicine. 2019 Mar; 6(2): 419-423