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Parameters for Predicting Granulosa Cell Tumor of the Ovary: A Single Center Retrospective Comparative Study

  • Yesilyurt, Huseyin (Obstetrics and Gynecology, Dr Zekai Tahir Burak Women's Health Education and Research Hospital) ;
  • Tokmak, Aytekin (Obstetrics and Gynecology, Dr Zekai Tahir Burak Women's Health Education and Research Hospital) ;
  • Guzel, Ali Irfan (Obstetrics and Gynecology, Dr Zekai Tahir Burak Women's Health Education and Research Hospital) ;
  • Simsek, Hakki Sencer (Obstetrics and Gynecology, Dr Zekai Tahir Burak Women's Health Education and Research Hospital) ;
  • Terzioglu, Serdar Gokay (Department of General Surgery, Dr Zekai Tahir Burak Women's Health Education and Research Hospital) ;
  • Erkaya, Salim (Obstetrics and Gynecology, Dr Zekai Tahir Burak Women's Health Education and Research Hospital) ;
  • Gungor, Tayfun (Department of Obstetrics and Gynecology, Hitit University)
  • Published : 2014.10.23

Abstract

Background: To evaluate factors for predicting the granulosa cell tumor of the ovary (GCTO) pre-operatively. Materials and Methods: This retrospective designed study was conducted on 34 women with GCTO as the study group and 76 women with benign ovarian cysts as the control group. Data were recorded from the hospital database and included age, body mass index (BMI), parity, serum estradiol ($E_2$) levels, diameter of the mass, ultrasonographic features, serum CA125 level, risk of malignancy index (RMI), duration of menopause, postoperative histopathology result, and the neutrophil/lymphocyte ratio (NLR). Results: The demographic parameters showed no statistically significant difference between the groups. Preoperative diameter of the mass, CA125, duration of menopause, and neutrophil/lymphocyte ratio were significantly different between the groups. ROC curve analysis demonstrated that diameter of the mass, serum estradiol and Ca125 levels, RMI and NLR may be discriminative factors in predicting GCTO preoperatively. Conclusions: In conclusion, we think that a careful preoperative workshop including diameter of the mass, serum estradiol ($E_2$) and Ca125 levels, RMI and NLR may predict GCTO and may prevent incomplete approaches.

Keywords

Granulosa cell tumor;ovary;risk factors;prediction;E2 and Ca125;RMI and NLR

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