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 K. Rogers

doi:10.2214/ajr.184.3.01840893

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 K. Rogers

School of Medicine

Research output: Contribution to journal › Article › peer-review

54 Scopus citations

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.

Original language	English (US)
Pages (from-to)	893-896
Number of pages	4
Journal	American Journal of Roentgenology
Volume	184
Issue number	3
DOIs	https://doi.org/10.2214/ajr.184.3.01840893
State	Published - Jan 1 2005

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging

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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.",

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AU - Rogers, Steven K.

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

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