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Scheduling mammograms for asymptomatic women
J K Gohagan1, W P Darby, E L Spitznagel
1Department of Preventive Medicine, Washington University School of Medicine, St. Louis, Missouri 63110.
Preventive Medicine
|March 1, 1988
Summary
This study developed a decision model for mammography screening, emphasizing personalized risk, accuracy, radiation, and cost. It highlights the need for tailored screening schedules based on individual factors for optimal breast cancer detection.
Area of Science:
- Medical Decision Making
- Radiology
- Public Health
Background:
- Mammography screening decisions involve complex factors like risk, accuracy, cost, and radiation.
- Existing screening policies may not fully account for individual variations.
Purpose of the Study:
- To develop a decision theoretic model for optimizing mammographic screening recommendations.
- To investigate the relative importance of risk, radiation, accuracy, and cost in screening decisions.
Main Methods:
- Utilized a decision theoretic model incorporating woman-specific history and clinic-specific mammographic data.
- Estimated multivariate risk using Breast Cancer Detection Demonstration Project data.
- Calculated radiation hazard and mammographic accuracy benchmarks.
Main Results:
- Model sensitivity analysis revealed screening schedules are sensitive to input variations.
- Demonstrated the importance of accounting for variations in clinical accuracy, costs, radiation exposure, and individual risk.
- Provided insights into implicit assumptions of current screening policies.
Conclusions:
- Emphasizes the need for personalized mammographic screening schedules.
- Highlights the critical role of individual risk assessment and clinic-specific data.
- Advocates for a more nuanced approach to mammography screening recommendations.