Revista Brasileira de Ginecologia e Obstetrícia (May 2017)

Evaluation of Probably Benign Adnexal Masses in Postmenopausal Women

  • Burcu Kisa Karakaya,
  • Emre Ozgu,
  • Hatice Celik Kansu,
  • Ozlem Evliyaoglu,
  • Esma Sarikaya,
  • Bugra Coskun,
  • Salim Erkaya

DOI
https://doi.org/10.1055/s-0037-1601454
Journal volume & issue
Vol. 39, no. 5
pp. 229 – 234

Abstract

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Abstract Background Preoperatively identification of malignancy potential of a postmenopausal adnexal masses is important. Aim To evaluate the effectiveness of the Risk of Malignancy Index-2 in presumably benign adnexal masses in postmenopausal women. Study Design Retrospective, observational study. Methods 119 women with postmenopausal adnexal masses with a preliminary diagnosis of benign tumors according to the Risk of Malignancy Index-2 were included. Age, duration of menopause, ultrasonographic findings, and serum CA-125 levels were recorded preoperatively. The definitive diagnosis was based on postoperative histopathological examination. Results Of 119 adnexal mass, 10 were malignant and 109 were benign. There was no statistically significant difference with regard to age and tumor size between the groups. The two significant ultrasonographic parameter between groups were the presence of solid area in the mass and bilaterality. Moreover, if the cut off point for serum CA-125 was adjusted to 14.75 IU/mL according to ROC curve, a sensitivity value of 80% and a specificity value of 72% could be achieved to discriminate benign and malign cysts. Conclusion In the differential diagnosis of benign and malignant adnexal masses in postmenopausal women, the presence of a solid component, bilaterallity based on ultrasonography and high CA-125 values may be used as discriminative criteria. There is no direct relation between the size of the adnexal mass and malignancy potential. Therefore, in the malignancy indexes of postmenopausal women, we recommend lower cut-off values of CA-125 to increase the sensitivity of preoperative evaluation tests without having a great impact on negative predictive values.

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