Modified Computed Tomography Scoring System for Ovarian Tumors
Abstract
Objective: Ovarian cancer is the sixth most common cancer in Thailand. Given the absence of a computed tomography (CT) score for differentiating between benign and malignant ovarian tumors, this study aimed to develop a CT scoring system for differentiating between benign and malignant ovarian tumors using pathologic findings as the reference standard.
Material and Methods: This retrospective study included all female patients having undergone abdominal/pelvic CT scans for evaluation of ovarian masses at our institute, from January 2011 to December 2021. Two radiologists independently reviewed CT features and obtained a CT score for each tumor. Comparison of the differentiation performance of the CT score, with reference to the pathologic findings, was performed using Fisher’s exact or chi-squared test. The diagnostic performance of the CT score was evaluated.
Results: A total of 144 patients with 191 ovarian masses were enrolled. Tumor component characteristics, septate thickness, ascites, and metastasis significantly differed between benign and malignant tumors (p-value<0.05). Multivariate logistic regression analysis showed that the presence of solid components and metastasis were significant independent differentiating factors (p-value<0.001). The CT score significantly differed between benign and malignant tumors (p-value<0.001), with 93.5% sensitivity and 81.6% specificity.
Conclusion: The CT scoring system can differentiate between benign and malignant ovarian tumors with high sensitivity and specificity. Furthermore, the presence of a solid component and metastasis are CT features that can be used to differentiate between benign and malignant tumors.
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