A Computer-Aided Detection System for the Evaluation of Breast Cancer by Mammographic Appearance and Lesion Size
Rachel F. Brem, Jeffrey W. Hoffmeister, Gilat Zisman, Martin P. DeSimio, Steven Kristofor Rogers · American Journal of Roentgenology · 2005
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.