breast cancer risk assessment using gail model in 35 to 69-year-old women referred to the breast cancer screening center at omid hospital in isfahan, iran, from 2008 to 2016

Prediction of breast cancer risk and identifying women who are at high risk of breast cancer, would be a great help for planning and conducting screening programs. the aim of this study was to estimate the 5-year breast cancer risk among women in isfahan. this cross-sectional study was conducted on 9674 women aged 35-69 years who referred to the breast cancer screening centre at omid hospital in isfahan from 2008 to 2016. data were collected using a breast cancer risk assessment tool (gail model). any woman with gail scores greater than 1.67% was considered as a high-risk woman for breast cancer. using stata 14, logistic regression was employed to determine the predictors of breast cancer risk at significance level of 5%. the mean 5-year breast cancer risk (brca) for all women was 0.62 ± 0.39%, and 2.56% of women had 5 years breast cancer risk greater than or equal to 1.67%. there was a relationship between the 5-year risk of breast cancer and age, age at menarche, age at first live birth, family history of breast cancer, and history of breast biopsy. according to the results,the gail model can predict the risk of breast cancer and may be employed as a breast cancer risk assessment toolin screening and prevention of breast cancer program.