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

Authors :
Gilat Zisman
Jeffrey W. Hoffmeister
Steven K. Rogers
Rachel F. Brem
Martin P. DeSimio
Source :
American Journal of Roentgenology. 184:893-896
Publication Year :
2005
Publisher :
American Roentgen Ray Society, 2005.

Abstract

OBJECTIVE. The purpose of our study was to evaluate the performance of a computeraided 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.

Details

ISSN :
15463141 and 0361803X
Volume :
184
Database :
OpenAIRE
Journal :
American Journal of Roentgenology
Accession number :
edsair.doi.dedup.....8a552f83b53430f53f01f5cc6c46aa67
Full Text :
https://doi.org/10.2214/ajr.184.3.01840893