A computer-aided detection system for the evaluation of breast cancer by mammographic appearance and lesion size

Authors

Rachel F. Brem, The George Washington University
Jeffrey W. Hoffmeister, iCAD, Inc.
Gilat Zisman, The George Washington University
Martin P. DeSimio, iCAD, Inc.
Steven K. Rogers, iCAD, Inc.

Document Type

Journal Article

Publication Date

1-1-2005

Journal

American Journal of Roentgenology

Volume

184

Issue

3

DOI

10.2214/ajr.184.3.01840893

Abstract

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. © American Roentgen Ray Society.

APA Citation

Brem, R., Hoffmeister, J., Zisman, G., DeSimio, M., & Rogers, S. (2005). A computer-aided detection system for the evaluation of breast cancer by mammographic appearance and lesion size. American Journal of Roentgenology, 184 (3). http://dx.doi.org/10.2214/ajr.184.3.01840893