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Optimizing performance of BreastScreen Norway using value of information in graphical models
Marie Lilleborge1, Solveig Hofvind2, Sofie Sebuødegård2
1Norwegian Computing Center, Postbox 114, Blindern, 0314, Oslo, Norway.
Statistics in Medicine
|February 2, 2018
Summary
This study optimizes BreastScreen Norway by recommending personalized screening tests based on individual breast cancer risk. This approach aims to improve screening efficiency for women aged 50-69.
Area of Science:
- Medical Imaging
- Biostatistics
- Public Health
Background:
- BreastScreen Norway invites women aged 50-69 for mammograms every two years.
- Current screening protocols do not account for individual breast cancer risk factors.
Purpose of the Study:
- To optimize BreastScreen Norway's performance through a risk-stratified testing approach.
- To evaluate the efficiency of personalized screening recommendations.
Main Methods:
- Utilized a value of information analysis.
- Developed a graphical probabilistic model for breast cancer risk factors.
- Employed a Bayesian network for screening test results.
Main Results:
- Proposes a stratified recommendation of tests, including mammogram reading and further imaging.
- The method is dependent on the probability of asymptomatic breast cancer at screening invitation.
Conclusions:
- The study evaluates a method to improve the efficiency of the national breast cancer screening program.
- Personalized screening recommendations can enhance early detection and resource allocation.
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