Home|Journals Follow on Twitter| Subscribe to List

Directory for Medical Articles

Open Access

Original Research

. 2018; 24(1): 42-46

Value of Multiple Computed Tomography Criteria for Prediction of Malignancy in Patients with Ovarian Mass

Bilge Oztoprak; Savas Karakus.

Objective: Computed tomography (CT) can be used as a safe, accurate and noninvasive technique for the prediction of ovarian malignancy with several criteria. We aimed to determine the sensitivity and specificity of presence of multiple CT malignancy criteria for the prediction of ovarian malignancy in patients with ovarian mass.Study Design: From a total of 734 patients diagnosed with an adnexal mass, ovarian mass was determined in 91 contrast-enhanced abdominopelvic CT images were examined for the presence of tumoral diameter (>50 mm), thick septa, wall thickness, solid component, contrast involvement, invasion, ascites, and bilaterality. The ratios of these parameters and the value of their combined use for the prediction of ovarian malignancy was assessed.Results: Of the 91 patients included in the study, in patients with benign [in 66 (72.5%) patients] and malign [(in 25 (27.5%) patients] ovarian mass, the mean (range) ages were 43.5 (17-82) and 58.0 (34-88) years, respectively. A statistically significant relationship was determined between ovarian malignancy and all the CT criteria (p<0.05) except the tumoral diameter (>50 mm) and wall thickness (p>0.05). The ROC analysis revealed that with the presence of 3 or more criteria among the 8 CT criteria, the ovarian mass can be predicted as malignant at least with a sensitivity of 76% and specificity of 70%.Conclusion: The presence of 3 or more parameters among the 8 selected CT criteria, the ovarian malignancy can be predicted at least with a sensitivity of 76% and specificity of 70% in patients with ovarian mass.

Key words: Computed tomography, Histopathology, Morphological characteristics, Ovarian cancer

Share this Article

Journal of Apitherapy


ScopeMed Home
Follow ScopeMed on Twitter
Article Tools
eJPort Journal Hosting
About ScopeMed
License Information
Terms & Conditions
Privacy Policy
Suggest a Journal
Publisher Login
Contact Us

The articles in Scopemed are open access articles licensed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-nc-sa/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
ScopeMed is a Database Service for Scientific Publications. Copyright ScopeMed Information Services.
Scopemed Buttons