Enhancing the OncoSim-Breast model using Canadian breast density information

Articles and reports: 82-003-X202600500002
Description: Breast cancer is the most commonly diagnosed cancer among women in Canada. Breast density substantially influences breast cancer risk and mammography performance. However, OncoSim-Breast, a Canadian microsimulation model representing breast cancer control, including cancer onset, screening, and survival, has not previously explicitly accounted for breast density. This study describes the incorporation of density-specific parameters—prevalence, relative risk of breast cancer, and digital mammography performance (sensitivity and specificity)—using data from five Canadian provinces, into the OncoSim-Breast model. Calibration experiments and internal validations were conducted to ensure the updated OncoSim-Breast model aligned with observed data from the Canadian Cancer Registry.
Issue Number: 2026005
Author(s): Alagoz, Oguzhan; Yaffe, Martin J.; Mainprize, James G.; Simeonov, Dori; Coldman, Andrew; Yong, Jean HE; Garner, Rochelle; Nadeau, Claude
DOI: https://doi.org/10.25318/82-003-x202600500002-eng
Main Product: Health Reports
Format Release date More information
HTML May 20, 2026
PDF May 20, 2026