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


CONCLUSIONS
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.
Brem
Rachel F
RF
Department of Radiology, The George Washington University, 2150 Pennsylvania Ave. NW, Washington, DC 21117, USA.
Hoffmeister
Jeffrey W
JW
Zisman
Gilat
G
DeSimio
Martin P
MP
Rogers
Steven K
SK
D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001941:Breast Diseases / Q000000981:diagnostic imaging* / Q000473:pathology*; D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology*; D002114:Calcinosis / Q000000981:diagnostic imaging* / Q000473:pathology*; D005260:Female; D006801:Humans; D008327:Mammography / Q000379:methods*; D008875:Middle Aged; D011857:Radiographic Image Interpretation, Computer-Assisted