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AJR 2005; 184:893-896
© American Roentgen Ray Society

Original Report

A Computer-Aided Detection System for the Evaluation of Breast Cancer by Mammographic Appearance and Lesion Size

Rachel F. Brem1, Jeffrey W. Hoffmeister2, Gilat Zisman1, Martin P. DeSimio2 and Steven K. Rogers2

1 Department of Radiology, The George Washington University, 2150 Pennsylvania Ave. NW, Washington, DC 21117.
2 i-CAD, Inc., 2689 Commons Blvd., Beavercreek, OH.

OBJECTIVE. The purpose of our study was to evaluate the performance of a computer-aided detection (CAD) system in the detection of breast cancer based on mammographic appearance and lesion size.

CONCLUSION. The CAD system correctly marked most biopsy-proven breast cancers, with a greater sensitivity for microcalcification than for mass lesions but with no significant difference in performance based on cancer size. CAD was highly effective in detecting even the smallest lesions, with a sensitivity of 92% for lesions of 5 mm or less. CAD is a useful tool for the detection of breast cancer.


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