Prospective assessment of computer-aided detection in interpretation of screening mammography

被引:92
作者
Ko, Justin M.
Nicholas, Michael J.
Mendel, Jeffrey B.
Slanetz, Priscilla J.
机构
[1] Caritas St Elizabeths Med Ctr, Dept Radiol, Boston, MA USA
[2] Tufts Univ, Sch Med, Boston, MA 02111 USA
关键词
breast cancer; computer-aided detection; mammography; screening;
D O I
10.2214/AJR.05.1582
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
OBJECTIVE. The purpose of this study was to prospectively assess the usefulness of computer-aided detection (CAD) in the interpretation of screening mammography and to provide the true sensitivity and specificity of this technique in a clinical setting. SUBJECTS AND METHODS. Over a 26-month period, 5,016 screening mammograms were interpreted without, and subsequently with, the assistance of the iCAD MammoReader detection system. Data collected for actionable findings included dominant feature (calcification, mass, asymmetry, architectural distortion), detection method (radiologist only, CAD only, or both radiologist and CAD), BI-RADS assessment code, associated histopathology for those undergoing biopsy, and tumor stage for malignant lesions. The study population was crosschecked against an independent reference standard to identify false-negative cases. RESULTS. Of the 5,016 cases, the recall rate increased from 12% to 14% with the addition of CAD. Of the 107 (2%) patients who underwent biopsy, 101 (94%) were prompted by the radiologist and six (6%) were prompted by CAD. Of the 124 biopsies performed on actionable findings in the 107 patients, findings in 79 (64%) were benign and in 45 (36%) were in situ or invasive carcinoma. Three study participants who were not recalled by the radiologist with the assistance of CAD developed cancer within 1 year of the screening mammogram and were considered to be false-negative cases. The radiologist detected 43 (90%) of the 48 total malignancies and 45 (94%) of the 48 malignancies with the assistance of CAD. CAD missed eight cancers that were detected by the radiologist, which presented as architectural distortions (n = 3), irregular masses (it = 4), and a circumscribed mass (n = 1). CAD detected two in situ cancers as a faint cluster of calcifications that had not been perceived by the radiologist and one mass that was dismissed by the radiologist, accounting for at least a 4.7% increase in cancer detection rate. Sensitivity of screening mammography with the use of CAD (94%) represented an absolute and relative 4% increase over the sensitivity of the radiologist alone (90%). Specificity of screening mammography with and without the use of CAD was 99%. CONCLUSION. Routine use of CAD while interpreting screening mammograms significantly increases recall rates, has no significant effect on positive predictive value for biopsy, and can increase cancer detection rate by at least 4.7% and sensitivity by at least 4%. This study provides "true" values for sensitivity and specificity for use of CAD in interpretation of screening mammography as measured prospectively in the context of a working clinical setting.
引用
收藏
页码:1483 / 1491
页数:9
相关论文
共 36 条
[1]   Computer-aided detection (CAD) in screening mammography: Sensitivity of commercial CAD systems for detecting architectural distortion [J].
Baker, JA ;
Rosen, EL ;
Lo, JY ;
Gimenez, EI ;
Welsh, R ;
Soo, MS .
AMERICAN JOURNAL OF ROENTGENOLOGY, 2003, 181 (04) :1083-1088
[2]   Computer-aided detection (CAD) in mammography: Does it help the junior or the senior radiologist? [J].
Balleyguier, C ;
Kinkel, K ;
Fermanian, J ;
Malan, S ;
Djen, G ;
Taourel, P ;
Helenon, O .
EUROPEAN JOURNAL OF RADIOLOGY, 2005, 54 (01) :90-96
[3]  
Baum JK, 2001, RADIOLOGY, V221, P521
[4]   Screening for breast cancer: Recommendations and rationale [J].
Berg, AO ;
Allan, JD ;
Frame, PS ;
Homer, CJ ;
Johnson, MS ;
Klein, JD ;
Lieu, TA ;
Mulrow, CD ;
Orleans, CT ;
Peipert, JF ;
Pender, NJ ;
Siu, AL ;
Teutsch, SM ;
Westhoff, C ;
Woolf, SH .
ANNALS OF INTERNAL MEDICINE, 2002, 137 (05) :344-346
[5]   ANALYSIS OF CANCERS MISSED AT SCREENING MAMMOGRAPHY [J].
BIRD, RE ;
WALLACE, TW ;
YANKASKAS, BC .
RADIOLOGY, 1992, 184 (03) :613-617
[6]   Computer-aided detection with screening mammography in a university hospital setting [J].
Birdwell, RL ;
Bandodkar, P ;
Ikeda, DM .
RADIOLOGY, 2005, 236 (02) :451-457
[7]   Mammographic characteristics of 115 missed cancers later detected with screening mammography and the potential utility of computer-aided detection [J].
Birdwell, RL ;
Ikeda, DM ;
O'Shaughnessy, KF ;
Sickles, EA .
RADIOLOGY, 2001, 219 (01) :192-202
[8]   A computer-aided detection system for the evaluation of breast cancer by mammographic appearance and lesion size [J].
Brem, RF ;
Hoffmeister, JW ;
Zisman, G ;
DeSimio, MP ;
Rogers, SK .
AMERICAN JOURNAL OF ROENTGENOLOGY, 2005, 184 (03) :893-896
[9]   Impact of breast density on computer-aided detection for breast cancer [J].
Brem, RF ;
Hoffmeister, JW ;
Rapelyea, JA ;
Zisman, G ;
Mohtashemi, K ;
Jindal, G ;
DiSimio, MP ;
Rogers, SK .
AMERICAN JOURNAL OF ROENTGENOLOGY, 2005, 184 (02) :439-444
[10]   The never-ending controversies of screening mammography - What is the appropriate callback rate for women undergoing screening mammographic examination? [J].
Brem, RF .
CANCER, 2004, 100 (08) :1549-1552