Influence of computer-aided detection on performance of screening mammography

被引:425
作者
Fenton, Joshua J.
Taplin, Stephen H.
Carney, Patricia A.
Abraham, Linn
Sickles, Edward A.
D'Orsi, Carl
Berns, Eric A.
Cutter, Gary
Hendrick, R. Edward
Barlow, William E.
Elmore, Joann G.
机构
[1] Univ Calif Davis, Sacramento, CA 95817 USA
[2] NCI, Bethesda, MD 20892 USA
[3] Oregon Hlth & Sci Univ, Portland, OR USA
[4] Grp Hlth Cooperat Puget Sound, Seattle, WA 98121 USA
[5] Univ Calif San Francisco, San Francisco, CA 94143 USA
[6] Emory Clin, Atlanta, GA 30322 USA
[7] Northwestern Univ, Chicago, IL 60611 USA
[8] Univ Alabama Birmingham, Birmingham, AL USA
[9] Canc Res & Biostat, Seattle, WA USA
[10] Univ Washington, Seattle, WA 98195 USA
关键词
D O I
10.1056/NEJMoa066099
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
BACKGROUND Computer-aided detection identifies suspicious findings on mammograms to assist radiologists. Since the Food and Drug Administration approved the technology in 1998, it has been disseminated into practice, but its effect on the accuracy of interpretation is unclear. METHODS We determined the association between the use of computer-aided detection at mammography facilities and the performance of screening mammography from 1998 through 2002 at 43 facilities in three states. We had complete data for 222,135 women (a total of 429,345 mammograms), including 2351 women who received a diagnosis of breast cancer within 1 year after screening. We calculated the specificity, sensitivity, and positive predictive value of screening mammography with and without computer-aided detection, as well as the rates of biopsy and breast-cancer detection and the overall accuracy, measured as the area under the receiver-operating-characteristic (ROC) curve. RESULTS Seven facilities (16%) implemented computer-aided detection during the study period. Diagnostic specificity decreased from 90.2% before implementation to 87.2% after implementation (P<0.001), the positive predictive value decreased from 4.1% to 3.2% (P=0.01), and the rate of biopsy increased by 19.7% (P<0.001). The increase in sensitivity from 80.4% before implementation of computer-aided detection to 84.0% after implementation was not significant (P=0.32). The change in the cancer-detection rate (including invasive breast cancers and ductal carcinomas in situ) was not significant (4.15 cases per 1000 screening mammograms before implementation and 4.20 cases after implementation, P=0.90). Analyses of data from all 43 facilities showed that the use of computer-aided detection was associated with significantly lower overall accuracy than was nonuse (area under the ROC curve, 0.871 vs. 0.919; P=0.005). CONCLUSIONS The use of computer-aided detection is associated with reduced accuracy of interpretation of screening mammograms. The increased rate of biopsy with the use of computer-aided detection is not clearly associated with improved detection of invasive breast cancer.
引用
收藏
页码:1399 / 1409
页数:11
相关论文
共 39 条
[31]   Effect of breast augmentation on the accuracy of mammography and cancer characteristics [J].
Miglioretti, DL ;
Rutter, CM ;
Geller, BM ;
Cutter, G ;
Barlow, WE ;
Rosenberg, R ;
Weaver, DL ;
Taplin, SH ;
Ballard-Barbash, R ;
Carney, PA ;
Yankaskas, BC ;
Kerlikowske, K .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2004, 291 (04) :442-450
[32]   Screening mammograms: Interpretation with computer-aided detection - Prospective evaluation [J].
Morton, MJ ;
Whaley, DH ;
Brandt, KR ;
Amrami, KK .
RADIOLOGY, 2006, 239 (02) :375-383
[33]   The natural history of low-grade ductal carcinoma in situ of the breast in women treated by biopsy only revealed over 30 years of long-term follow-up [J].
Sanders, ME ;
Schuyler, PA ;
Dupont, WD ;
Page, DL .
CANCER, 2005, 103 (12) :2481-2484
[34]   Physician predictors of mammographic accuracy [J].
Smith-Bindman, R ;
Chu, P ;
Miglioretti, DL ;
Quale, C ;
Rosenberg, RD ;
Cutter, G ;
Geller, B ;
Bacchetti, P ;
Sickles, EA ;
Kerlikowske, K .
JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2005, 97 (05) :358-367
[35]   Colonic polyps: Complementary role of computer-aided detection in CT Colonography [J].
Summers, RM ;
Jerebko, AK ;
Franaszek, M ;
Malley, JD ;
Johnson, CD .
RADIOLOGY, 2002, 225 (02) :391-399
[36]   Concordance of breast imaging reporting and data system assessments and management recommendations in screening mammography [J].
Taplin, SH ;
Ichikawa, LE ;
Kerlikowske, K ;
Ernster, VL ;
Rosenberg, RD ;
Yankaskas, BC ;
Carney, PA ;
Geller, BM ;
Urban, N ;
Dignan, MB ;
Barlow, WE ;
Ballard-Barbash, R ;
Sickles, EA .
RADIOLOGY, 2002, 222 (02) :529-535
[37]   Testing the effect of computer-assisted detection on interpretive performance in screening mammography [J].
Taplin, Stephen H. ;
Rutter, Carolyn M. ;
Lehman, Constance D. .
AMERICAN JOURNAL OF ROENTGENOLOGY, 2006, 187 (06) :1475-1482
[38]   A GENERAL REGRESSION METHODOLOGY FOR ROC CURVE ESTIMATION [J].
TOSTESON, ANA ;
BEGG, CB .
MEDICAL DECISION MAKING, 1988, 8 (03) :204-215
[39]   Association between mammography timing and measures of screening performances in the United States [J].
Yankaskas, BC ;
Taplin, SH ;
Ichikawa, L ;
Geller, BM ;
Rosenberg, RD ;
Carney, PA ;
Kerlikowske, K ;
Ballard-Barbash, R ;
Cutter, GR ;
Barlow, WE .
RADIOLOGY, 2005, 234 (02) :363-373