Expanding Imaging Intelligence Through Computer-Aided Detection
Computer-aided detection (CAD) software is designed to use sophisticated algorithms to highlight suspicious areas on patients' digitized images, alerting radiologists to closely examine these areas for possible disease. Studies have shown that CAD has the potential to further enhance the effectiveness of mammograms by reducing the number of false negative results.
In one study, researchers found that CAD significantly improved breast cancer detection. The sensitivity was increased by 21.2 percent using CAD, leading researchers to conclude that "for every 100,000 women with breast cancer identified without the use of computer-aided detection, an estimated additional 21,200 cancers would be found with the use of computer-aided detection."1
1 "Improvement in Sensitivity of Screening Mammography with Computer-Aided Detection: A Multi-Institutional Trial," Brem RF, Baum J, Lechner M, Kaplan S, Souders S, Naul LG, Hoffmeister J, American Journal of Roentgenology, 181:687-693, September 2003.
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