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

Area of Science:

• Oncology
• Radiology
• Biostatistics

Background:

• Screening mammography efficiency can be improved with a basic tool.
• A breast cancer screening (BCS) chart is proposed as a preliminary tool.

Purpose of the Study:

• To develop and validate a breast cancer screening (BCS) chart.
• To predict individual breast cancer risk probabilities.
• To categorize risk levels for targeted screening.

Main Methods:

• A case-control study involving 1422 women (506 cases, 916 controls) aged 30-75 in 2016.
• Multiple logistic regression analysis was used to develop the BCS chart.
• Risk probabilities were stratified and color-coded: green (<5%), yellow (5-9%), orange (10-14%), red (15-19%), brown (20-24%), and black (≥25%).

Main Results:

• The BCS chart incorporates age, BMI, late menopause, benign breast disease, and family history.
• Individual risk probabilities are categorized into low (green), medium (yellow/orange), high (red/brown), and very high (black) risk groups.
• The chart provides a clear visual representation of breast cancer risk.

Conclusions:

• The BCS chart is a flexible and user-friendly tool.
• It effectively identifies subjects at high risk for breast cancer.
• Implementation can enhance the efficiency and productivity of breast cancer screening programs.