Does computer-aided detection increase the accuracy of interpretation of mammograms?
Berkman Sahiner
Correspondence Department of Radiology, University of Michigan Medical Center, CGC B2102, 1500 East Medical Center Dr, Ann Arbor, MI 48109-0904, USA
Email berki@umich.edu
This article has no abstract so we have provided the first paragraph of the full text.
Mammography is currently the best available screening tool for breast cancer in asymptomatic women with no known high-risk factors; however, the false-negative rate of screening mammography is around 20%.1 CAD aims to increase the effectiveness of mammography by providing a consistent and low-cost second opinion. A number of studies have indicated that CAD might be effective in reducing the false-negative rate of mammography.2 A recent clinical study by Fenton et al., however, which was larger in size than those that demonstrated improvement with CAD, found that the improvement in sensitivity with CAD did not reach statistical significance, while the reduction in specificity was significant.
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