Computer-aided detection in mammography: Applications and repercussions

Applied Radiology

Volumn 35, Issue 10, 2006, Pages 38-45

  Ulissey, Michael J ^a  

^a UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BREAST BIOPSY; BREAST CALCIFICATION; BREAST CANCER; CANCER SCREENING; CANCER STAGING; COMPUTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; COST EFFECTIVENESS ANALYSIS; DIAGNOSTIC ACCURACY; DIAGNOSTIC ERROR; EARLY DIAGNOSIS; FALSE NEGATIVE RESULT; HEALTH CARE COST; HUMAN; IMAGE ANALYSIS; LAW SUIT; MAMMOGRAPHY; MEDICAL RESEARCH; MEDICOLEGAL ASPECT; PREDICTION; RADIODIAGNOSIS; WORK EXPERIENCE;

EID: 33750475522     PISSN: 01609963     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (18)

1. Public Health Service's Office on Women's Health. Department of Health and Human Services/Central Intelligence Agency Brief Russian Health Minister on their unique collaboration to develop new breast imaging technologies. Available at: http://www.4woman.gov/news/pr/ 1996.imaging.htm. Accessed March 2006.
2. Kukkonen CA. NASA high performance computing, communications, image processing, and data visualization-potential applications to medicine. J Med Syst. 1995;19:263-273.
3. Thurfjell E, Thurfjell MG, Egge E, Bjurstam N. Sensitivity and specificity of computer-assisted breast cancer detection in mammography screening. Acta Radiol. 1998;39:384-388.
4. Sittek H, Herrmann K, Perlet C, et al. Computer-assisted evaluation of mammography images. Initial clinical experiences [in German]. Radiologe. 1997;37:610-616.
5. Jiang Y, Nishikawa, RM, Schmidt RA. Improving breast cancer diagnosis with computer-aided diagnosis. Acad Radiol. 1999;6:22-33.
6. Nakahara H, Namba K, Fukama A, et al. Computer-aided diagnosis (CAD) for mammography: Preliminary results. Breast Cancer. 1998;5:401-405.
7. Warren Burhenne LJ, Wood SA, D'Orsi CJ, et al. Potential contribution of computer-aided detection to the sensitivity of screening mammography. Radiology. 2000;215:554-562. Erratum in: Radiology. 2000;216:306.
8. Freer TW, Ulissey MJ. Screening mammography with computer-aided detection: Prospective study of 12,860 patients in a community breast center. Radiology. 2001;220:781-786.
9. Destounis SV, DiNitto P, Logan-Young W, et al. Can computer-aided detection with double reading of screening mammograms help decrease the false-negative rate? Initial experience. Radiology. 2004;232:578-584.
10. Cupples TE, Cunningham JE, Reynolds JC. Impact of computer-aided detection in a regional screening mammography program. AJR Am J Roentgenol. 2005;185:944-950
11. Quek ST, Thng CH, Khoo JB, Koh WL. Radiologists' detection of mammographic abnormalities with and without a computer-aided detection system. Australas Radiol. 2003;47: 257-260.
12. Gur D, Stalder JS, Hardesty LA, et al. Computer-aided detection performance in mammographic examination of masses: Assessment. Radiology. 2004;233:418-423.
13. Baker JA, Rosen EL, Lo JY, et al. Computer-aided detection in screening mammography: Sensitivity of commercial CAD systems for detecting architectural distortion. AJR Am J Roentgenol. 2003;181:1083-1088.
14. Gur D, Sumkin JH, Rockette HE, et al. Changes in breast cancer detection and mammography recall rates after the introduction of a computer-aided detection system. J Natl Cancer Inst. 2004;96:185-190.
15. Feig SA, Sickles EA, Evans WP, Linver MN. Re: Changes in breast cancer detection and mammography recall rates after the introduction of a computer-aided detection system. J Natl Cancer Inst. 2004;96:1260-1261; author reply 1261.
16. Ikeda DM, Birdwell RL, O'Shaughnessy KF, et al. Computer-aided detection output on 172 subtle findings on normal mammograms previously obtained in women with breast cancer detected at follow-up screening mammography. Radiology. 2004;230:811-819.
17. Brenner RJ, Ulissey MJ, Wilt RM. Computer-aided detection as evidence in the courtroom: Potential implications of an appellate court's ruling. AJR Am J Roentgenol. 2006;186:48-51.
18. Buchbinder SS, Leichter IS, Lederman RB, et al. Computer-aided classification of BI-RADS category 3 breast lesions. Radiology. 2004;230: 820-823.