Breast cancer screening (BCS) chart: A basic and preliminary model for making screening mammography more productive and efficient

Abstract

BACKGROUND The breast cancer screening (BCS) chart is suggested as a basic and preliminary tool to improve efficiency of screening mammography. METHODS We conducted this case-control study in 2016 and enrolled 1422 women aged 30-75 years, including 506 women with breast cancer (cases) and 916 women without breast cancer (controls). We developed the BCS chart using a multiple logistic regression analysis. We combined the risks of breast cancer to predict the individual risk of breast cancer. Then, we stratified and colored the predicted risk probabilities as follows: <05% (green), 05-09% (yellow), 10-14% (orange), 15-19% (red), 20-24% (brown) and ≥25% (black). RESULTS The BCS chart provides the risk probability of breast cancer, based on age, body mass index, late menopause, having a benign breast disease and a positive family history of breast cancer among the first-degree or the second/third-degree relatives. According to this chart, an individual can be classified in a category of low risk (green), medium risk (yellow and orange), high risk (red and brown) and very high risk (black) for breast cancer. CONCLUSIONS This chart is a flexible and easy to use tool that can detect high-risk subjects and make the screening program more efficient and productive.