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All (5) ((5 results))
- Articles and reports: 82-003-X202600500002Description: 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.Release date: 2026-05-20
- Articles and reports: 82-003-X202500600001Description: The OncoSim-Breast model, developed by the Canadian Partnership Against Cancer and Statistics Canada, represents breast cancer-related events in the Canadian female population. This study aims to compare OncoSim-Breast microsimulation modelling results with recent results from the United States’ National Cancer Institute’s Cancer Intervention and Surveillance Modeling Network (CISNET) breast cancer models. The primary focus is on the impact of extending breast cancer screening to women aged 40 to 49.Release date: 2025-06-18
- Articles and reports: 82-003-X201501214293Description:
The University of Wisconsin Cancer Intervention and Surveillance Modeling Network breast cancer microsimulation model was adapted to simulate breast cancer incidence and screening performance in Canada. The model considered effects of breast density on the sensitivity and specificity of screening. The model’s ability to predict age-specific incidence of breast cancer was assessed.
Release date: 2015-12-16 - Articles and reports: 82-003-X201501214294Description:
This analysis employs a validated microsimulation model of breast cancer, adapted to the Canadian context, to predict health outcomes associated with different digital mammography screening strategies (including No Screening) across different age ranges. The model estimates the benefits, harms, limitations, and use of resources for each strategy.
Release date: 2015-12-16 - Articles and reports: 82-003-X201501214295Description:
Using the Wisconsin Cancer Intervention and Surveillance Monitoring Network breast cancer simulation model adapted to the Canadian context, costs and quality-adjusted life years were evaluated for 11 mammography screening strategies that varied by start/stop age and screening frequency for the general population. Incremental cost-effectiveness ratios are presented, and sensitivity analyses are used to assess the robustness of model conclusions.
Release date: 2015-12-16
Articles and reports (5)
Articles and reports (5) ((5 results))
- Articles and reports: 82-003-X202600500002Description: 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.Release date: 2026-05-20
- Articles and reports: 82-003-X202500600001Description: The OncoSim-Breast model, developed by the Canadian Partnership Against Cancer and Statistics Canada, represents breast cancer-related events in the Canadian female population. This study aims to compare OncoSim-Breast microsimulation modelling results with recent results from the United States’ National Cancer Institute’s Cancer Intervention and Surveillance Modeling Network (CISNET) breast cancer models. The primary focus is on the impact of extending breast cancer screening to women aged 40 to 49.Release date: 2025-06-18
- Articles and reports: 82-003-X201501214293Description:
The University of Wisconsin Cancer Intervention and Surveillance Modeling Network breast cancer microsimulation model was adapted to simulate breast cancer incidence and screening performance in Canada. The model considered effects of breast density on the sensitivity and specificity of screening. The model’s ability to predict age-specific incidence of breast cancer was assessed.
Release date: 2015-12-16 - Articles and reports: 82-003-X201501214294Description:
This analysis employs a validated microsimulation model of breast cancer, adapted to the Canadian context, to predict health outcomes associated with different digital mammography screening strategies (including No Screening) across different age ranges. The model estimates the benefits, harms, limitations, and use of resources for each strategy.
Release date: 2015-12-16 - Articles and reports: 82-003-X201501214295Description:
Using the Wisconsin Cancer Intervention and Surveillance Monitoring Network breast cancer simulation model adapted to the Canadian context, costs and quality-adjusted life years were evaluated for 11 mammography screening strategies that varied by start/stop age and screening frequency for the general population. Incremental cost-effectiveness ratios are presented, and sensitivity analyses are used to assess the robustness of model conclusions.
Release date: 2015-12-16