Implementing the Risk of Ovarian Malignancy Algorithm Adding Obesity as a Predictive Factor

Anticancer Res. 2016 Dec;36(12):6425-6429. doi: 10.21873/anticanres.11240.

Abstract

Aim: To evaluate whether obesity represents a risk factor for the onset of ovarian cancer.

Patients and methods: One hundred and sixty-three patients with a body mass index (BMI) >30 kg/m2 (group 1) and 130 women with a BMI of <25 kg/m2 (group 2) were included in the study.

Results: A Risk of Ovarian Malignancy Algorithm (ROMA) index above the cut-off (>13%) was found in 24.5% of group 1 patients, whereas a high ROMA score was identified in 5.3% of group 2 women. During the study, 13 out of 40 group 1 patients with ROMA >13% were deemed eligible for bariatric surgery. After bariatric surgery and decrease of BMI, eight out of these 13 obese women had a ROMA index <13%.

Conclusion: The ROMA index may function as a simple test able to screen obese women at risk of developing ovarian cancer.

Keywords: CA125; HE4; Obesity; ROMA index; bariatric surgery; insulin; ovarian cancer.

MeSH terms

  • Adult
  • Algorithms*
  • Body Mass Index
  • Female
  • Humans
  • Middle Aged
  • Obesity / complications*
  • Ovarian Neoplasms / complications
  • Ovarian Neoplasms / epidemiology*
  • Risk Factors
  • Young Adult