Implementing the Risk of Ovarian Malignancy Algorithm Adding Obesity as a Predictive Factor
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Updated: Mar 10, 2026
In Vivo and Ex Vivo Approaches to Study Ovarian Cancer Metastatic Colonization of Milky Spot Structures in Peritoneal Adipose
Published on: October 14, 2015
Emanuela Anastasi1, Danila Capoccia2, Teresa Granato3
1Department of Molecular Medicine, Policlinico Umberto I, Sapienza University of Rome, Rome, Italy emanuela.anastasi@uniroma1.it.
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.
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