Radiologists' ability to discriminate computer-detected true and false positives from an automated scheme for the detection of clustered microcalcifications on digital mammograms

Robert M. Nishikawa; Dulcy E. Wolverton; Robert A. Schmidt; John Papaioannou

doi:10.1117/12.271293

16 April 1997 Radiologists' ability to discriminate computer-detected true and false positives from an automated scheme for the detection of clustered microcalcifications on digital mammograms

Robert M. Nishikawa, Dulcy E. Wolverton, Robert A. Schmidt, John Papaioannou

Author Affiliations +

Proceedings Volume 3036, Medical Imaging 1997: Image Perception; (1997) https://doi.org/10.1117/12.271293
Event: Medical Imaging 1997, 1997, Newport Beach, CA, United States

Abstract

There is evidence that computer-aided diagnosis (CAD) can be used to improve radiologists' performance. However, one of the potential drawbacks of CAD is that a computer-detected false positive may induce a false positive by a radiologist. To examine this issue, we performed two experiments to compare radiologists' false positives with those of the computer and to determine radiologists' ability to discriminate between the computer's true- and false-positive detections. In the first experiment, radiologists were shown 50 mammograms and on each film were asked to indicate 3 regions that could contain clustered microcalcifications, and using a 100-point scale, to give their level of confidence that microcalcifications were present in the region. In the second experiment, the radiologists were shown regions-of-interest, printed on film, containing either a computer-detected true cluster or a computer- detected false positive. The radiologists gave their confidence that there were actual clustered microcalcifications present. There was less than 1% overlap between false positives by the computer and radiologists. Furthermore, based on ROC analysis, radiologists were able to discriminate between computer true and false positives.

Citation Download Citation

Robert M. Nishikawa, Dulcy E. Wolverton, Robert A. Schmidt, and John Papaioannou "Radiologists' ability to discriminate computer-detected true and false positives from an automated scheme for the detection of clustered microcalcifications on digital mammograms", Proc. SPIE 3036, Medical Imaging 1997: Image Perception, (16 April 1997); https://doi.org/10.1117/12.271293

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