PT  - JOURNAL ARTICLE
AU  - ANASTASI, EMANUELA
AU  - CAPOCCIA, DANILA
AU  - GRANATO, TERESA
AU  - SILECCHIA, GIANFRANCO
AU  - RIZZELLO, MARIO
AU  - PORPORA, MARIA GRAZIA
AU  - FRATI, LUIGI
AU  - ANGELONI, ANTONIO
AU  - LEONETTI, FRIDA
TI  - Implementing the Risk of Ovarian Malignancy Algorithm Adding Obesity as a Predictive Factor
DP  - 2016 Dec 01
TA  - Anticancer Research
PG  - 6425--6429
VI  - 36
IP  - 12
4099  - http://ar.iiarjournals.org/content/36/12/6425.short
4100  - http://ar.iiarjournals.org/content/36/12/6425.full
SO  - Anticancer Res2016 Dec 01; 36
AB  - 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.