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KMID : 1143220220650010001
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Obstetrics & Gynecology Science
2022 Volume.65 No. 1 p.1 ~ p.13
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Ultrasonographic ovarian mass scoring system for predicting malignancy in pregnant women with ovarian mass
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Lee Se-Jin
Oh Hye-Rim
Na Sung-Hun
Hwang Han-Sung
Lee Seung-Mi
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Abstract
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During routine antenatal ultrasound examinations, an ovarian mass can be found incidentally. In clinical practice, the differential diagnosis between benign and malignant ovarian masses is essential for planning further management. Ultrasound imaging has become the most popular diagnostic tool during pregnancy, with the recent development of ultrasonography. In non-pregnant women, several methods have been used to predict malignant ovarian masses before surgery. The International Ovarian Tumor Analysis (IOTA) group reported several scoring systems, such as the IOTA simple rules, IOTA logistic regression models, and IOTA assessment of different NEoplasias in the adneXa. Other researchers have also evaluated the malignancy of ovarian masses before surgery using scoring systems such as the Sassone score, pelvic mass score, DePriest score, Lerner score, and Ovarian-Adnexal Reporting and Data System. These researchers suggested specific features of ovarian masses that can be used for differential diagnosis, including size, proportion of solid tissue, papillary projections, inner wall structure, locules, wall thickness, septa, echogenicity, acoustic shadows, and presence of ascites. Although these factors can also be measured in pregnant women using ultrasound, only a few studies have applied ovarian scoring systems in pregnant women. In this article, we reviewed various scoring systems for predicting malignant tumors of the ovary and determined whether they can be applied to pregnant women.
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KEYWORD
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Ovarian cysts, Ovarian cancer, Diagnostic imaging, Ultransonography, Pregnant women
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