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Computer-aided detection of breast cancer: a cost-effectiveness study
Karen K Lindfors1, Michele C McGahan, C John Rosenquist
1Department of Radiology, University of California, Davis School of Medicine, Suite 3100, 4860 Y St, Sacramento, CA 95817, USA. kklindfors@ucdavis.edu
Radiology
|March 30, 2006
Summary
Adding computer-aided detection (CAD) to mammography screening increases costs but remains cost-effective. This technology enhances cancer detection rates, offering a valuable addition to breast cancer screening programs.
Area of Science:
- Radiology
- Health Economics
- Oncology
Background:
- Screening mammography is crucial for early breast cancer detection.
- Computer-aided detection (CAD) aims to improve mammogram interpretation accuracy.
- Evaluating the economic impact of new technologies in healthcare is essential.
Purpose of the Study:
- To analyze the cost-effectiveness of integrating computer-aided detection (CAD) into screening mammography programs.
- To compare the marginal cost per year of life saved (MCYLS) for different screening strategies.
Main Methods:
- A Markov model simulated three groups: mammography without CAD, mammography with CAD, and observation without screening.
- Cost-effectiveness was measured by MCYLS.
- Sensitivity analyses explored variations in CAD costs, detection rates, and cancer stage distribution.
Main Results:
- Adding CAD to mammography screening resulted in an MCYLS of $19,058.
- Screening mammography alone had an MCYLS of $16,023 compared to observation.
- CAD increased screening effectiveness by 29% and costs by 34%.
Conclusions:
- While adding CAD to screening mammography increases the MCYLS by 19% compared to screening alone, it remains within acceptable cost-effectiveness ranges.
- The cost-effectiveness of CAD is influenced by its cost, cancer detection improvement, and the stage at which cancers are diagnosed.