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Testing the Effect of Computer-Assisted Detection on Interpretive Performance in Screening Mammography

Stephen H. Taplin1,2, Carolyn M. Rutter1 and Constance D. Lehman3

1 Group Health Cooperative, Center for Health Studies, Seattle, WA 98101.
2 National Cancer Institute, Applied Research Program, Division of Cancer Control and Population Sciences, 6130 Executive Blvd., MSC 7004, EPN 4500, Bethesda, MD 20892.
3 Department of Radiology, University of Washington, Seattle Cancer Care Alliance, Seattle, WA 98109.


Figure 1
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  		Fig. 1 —Study design showing that order of films was altered for each set of radiologists. The crossover design included two rounds separated by at least 6 months. Similar numbers of original interpretations were included in each set to attain similar levels of difficulty. Each case included one prior film set if available and summary sheet with age of woman at time of mammogram and her family history of breast cancer.

 

Figure 2
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  		Fig. 2A —Graphs show true-positive versus false-positive rates for each of the 19 radiologists with (red) and without (black) computer-assisted detection (CAD). Graphs show patients with cancer by 1 year (A) and patients with cancer in 13-24 months (B) after mammography screening.

 

Figure 3
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  		Fig. 2B —Graphs show true-positive versus false-positive rates for each of the 19 radiologists with (red) and without (black) computer-assisted detection (CAD). Graphs show patients with cancer by 1 year (A) and patients with cancer in 13-24 months (B) after mammography screening.

 

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