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1 Department of Breast Imaging and Intervention, George Washington University
Medical Center, 2150 Pennsylvania Ave. N.W., Washington, DC 20037.
2 Department of Radiology, Beth Israel Deaconess Medical Center, 330 Brookline
Ave., CC0492, Boston, MA 02215.
3 Jane Brattain Breast Center, Park-Nicollett Clinic, St. Louis Park, MN
55416.
4 Strax Institute, 4300 N. University Dr., Lauderhill, FL 33332.
5 Department of Radiology, Kaiser Permanente Medical Center, 9961 Sierra Ave.,
Fontana, CA 92335.
6 Department of Radiology, Scott and White Clinic, 2401 S. 31st St., Temple, TX
76508.
7 CADx Systems, Ste. 100, 2689 Commons Blvd., Beavercreek, OH 45431.
OBJECTIVE. Our study evaluated radiologist detection of breast cancer using a computer-aided detection system.
MATERIALS AND METHODS. Three radiologists reviewed 377 screening mammograms interpreted as showing normal or benign findings 9-24 months before cancer diagnosis from 17 of the 18 participating centers. In 313 cases, study radiologists recommended additional mammographic evaluation. In 177 cases, the area warranting additional workup precisely correlated with the subsequently diagnosed cancer. These 177 missed cancers were evaluated with computer-aided detection. The proportion of radiologists identifying the missed cancers was used to determine radiologist sensitivity without computer-aided detection.
RESULTS. The study radiologists determined that 123 of the 377 missed cancer cases warranted workup. Therefore, 123 additional cancers cases could have been found. The calculated radiologist sensitivity without computer-aided detection was therefore 75.4% (377 / [377 + 123]). Similarly, using the performance of the system on the missed cancers, we estimated that 80 (65.0%) of these 123 missed cancer cases would have been identified with the use of computer-aided detection. Consequently, the estimated sensitivity of radiologists using computer-aided detection was 91.4% ([377 + 80] / [377 + 123])—resulting in a 21.2% ([91.4% / 75.4%] - 1) increase in radiologist sensitivity with computer-aided detection.
CONCLUSION. Use of the computer-aided detection system significantly improved the detection of breast cancer by increasing radiologist sensitivity by 21.2%. Therefore, 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.
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