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Characterization of adnexal masses using multidetector contrast-enhanced CT scan - recognising common pitfalls that masquerade as ovarian cancer


Citation

Suppiah, Subapriya and Kamal, Siti Hazirah and Mohd Zabid, Anis Zahirah and Abu Hassan, Hasyma (2017) Characterization of adnexal masses using multidetector contrast-enhanced CT scan - recognising common pitfalls that masquerade as ovarian cancer. Pertanika Journal of Science & Technology, 25 (1). pp. 337-352. ISSN 0128-7680; ESSN: 2231-8526

Abstract / Synopsis

Adnexal masses are growths that form near the uterus; the majority being ovarian tumours. Although there is no established population-screening tool for detecting ovarian cancer, ultrasound and contrast-enhanced computed tomography (CECT) are useful imaging tools in the management of adnexal masses. Our study aimed to determine the characteristics of malignant adnexal masses on CECT scan and to describe common pitfalls in diagnosis of ovarian cancer when interpreting images. We also determined the sensitivity and specificity of diagnosing ovarian cancer using CECT. A retrospective study was conducted in Hospital Serdang using data from all patients who underwent CECT scan and detected with adnexal masses, and had histopathological examination correlation from January 2013 until January 2015. Out of the 64 cases analysed; the majority of malignant lesions were serous carcinoma of the ovary (40%). The CECT scan characteristics, tumour consistency of mixed type, presence of wall enhancement, septations, ascites and peritoneal nodule/omental caking were significantly associated with ovarian malignancy (p<0.05). The sensitivity, specificity, PPV and NPV of CECT scan was 95.45%, 71.43%, 63.63% and 96.77% respectively. Contrast-enhanced computed tomography scan is a good, non-invasive method to diagnose ovarian cancer. By using a pro-forma document as a guide, good results can be achieved to help differentiate between benign and malignant lesions. Nevertheless, caution needs to be exercised in interpreting cases that mimic features of malignancy.


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Additional Metadata

Item Type: Article
Divisions: Centre For Diagnostic Nuclear Imaging
Faculty of Medicine and Health Science
Publisher: Universiti Putra Malaysia Press
Keywords: Accuracy; Computed tomography; Diagnosis; Ovarian cancer
Depositing User: Nabilah Mustapa
Date Deposited: 05 Apr 2017 13:15
Last Modified: 05 Apr 2017 13:15
URI: http://psasir.upm.edu.my/id/eprint/51621
Statistic Details: View Download Statistic

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