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Title |
Diagnostic performance of serum CA-125 and ultrasonography in ovarian tumour differentiation
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Authors |
Halima Khanam1,*, Mehriban Amatullah2, M.S.T. Rebeka Sultana1, Saraban Tohura3, Farzana Sharmin2, Naznin Akter Zahan4, Irin Haque5 & Romena Afroj2
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Affiliation |
1Department of Gynaecological Oncology, Bangladesh Medical University, Dhaka, Bangladesh; 2Department of Obstetrics and Gynecology, Bangladesh Medical University, Dhaka, Bangladesh; 3Department of Obstetrics and Gynecology, Aalok Mother and Childcare Hospital, Dhaka, Bangladesh; 4Department of Gynaecological Oncology, Directorate General of Health Services (DGHS), Dhaka, Bangladesh; 5Department of Obstetrics and Gynecology, Directorate General of Health Services (DGHS), Dhaka, Bangladesh; *Corresponding author
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Halima Khanam - E-mail: taiyeebchowdhury@gmail.com
Farzana Sharmin -
E-mail: shuvrabsmmu@gmail.com
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Article Type |
Research Article
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Date |
Received February 1, 2026; Revised February 28, 2026; Accepted February 28, 2026, Published February 28, 2026
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Abstract |
Early differentiation of benign versus malignant ovarian tumours is crucial for optimal management but remains challenging in many clinical settings. This analytical cross-sectional study at Rangpur Medical College Hospital, Bangladesh, included 62 surgically managed ovarian tumours (48 benign, 14 malignant) evaluated preoperatively by transabdominal ultrasonography and serum CA-125. Ultrasonography alone yielded a sensitivity of 57.42%, specificity 89.50%, PPV 61.84%, NPV 87.42% and accuracy 82.17%. Serum CA-125 showed better performance, with a sensitivity 71.42%, specificity 93.75%, PPV 76.92%, NPV 91.83% and accuracy 88.70%. Combining ultrasonography with CA-125 improved diagnostic accuracy to 91.32% (sensitivity 78.57%, specificity 93.75%), advancing preoperative triage by providing a simple, high-yield strategy for resource-limited settings. |
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Keywords |
Ovarian tumour, ultrasonography, CA-125, diagnostic accuracy
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Citation |
Khanam et al. Bioinformation 22(2): 764-769 (2026)
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Edited by |
Vini Mehta
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ISSN |
0973-2063
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Publisher |
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License |
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
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