Abstract
OBJECTIVE: The objective of this study was to investigate the breast densities and Breast Imaging-Reporting and Data System scores of patients with polycystic ovary syndrome and normoovulatory women and to determine whether these patients constitute a high-risk population for breast cancer. METHODS: This retrospective case-control study was conducted at our institution between January 2022 and December 2022, involving patients diagnosed with polycystic ovary syndrome. Menstrual periods, hyperandrogenemic findings, and ultrasound reports of the patients were retrieved from our hospital's database. Patients who met at least two of the Rotterdam criteria were included in the polycystic ovary syndrome group. A total of 70 premenopausal patients over the age of 40 years, diagnosed with polycystic ovary syndrome, and 70 normoovulatory women, matched for age and body mass index, were included in the study. The two groups were compared regarding age at menarche, menstrual pattern, gravida, parity, levels of follicle-stimulating hormone, luteinizing hormone, and estradiol, endometrial thickness, breast density category, and Breast Imaging-Reporting and Data System classifications. RESULTS: Patients in the polycystic ovary syndrome group had a higher age at menarche (12.7 vs. 12.3, p=0.006). There was no difference between the gonadotropin levels in both groups. However, the estradiol level was higher in the polycystic ovary syndrome group (p<0.001). There was no statistically significant difference between the two groups in terms of breast density and Breast Imaging-Reporting and Data System scores (p=0.319 and p=0.650, respectively). CONCLUSION: Although we can conclude that the risk of breast malignancy is not increased in patients with polycystic ovary syndrome, the impact of the complex hormonal status of polycystic ovary syndrome on breast cancer remains unclear in the literature.