Computer-aided Detection of Masses at Mammography: Interactive Decision Support versus Prompts
Abstract
The interactive use of the results from computer-aided detection (CAD) as decision support for detection of malignant masses on mammograms may be more effective than the current use of CAD, which is aimed at prevention of perceptual oversights.
Purpose
To compare effectiveness of an interactive computer-aided detection (CAD) system, in which CAD marks and their associated suspiciousness scores remain hidden unless their location is queried by the reader, with the effect of traditional CAD prompts used in current clinical practice for the detection of malignant masses on full-field digital mammograms.
Materials and Methods
The requirement for institutional review board approval was waived for this retrospective observer study. Nine certified screening radiologists and three residents who were trained in breast imaging read 200 studies (63 studies containing at least one screen-detected mass, 17 false-negative studies, 20 false-positive studies, and 100 normal studies) twice, once with CAD prompts and once with interactive CAD. Localized findings were reported and scored by the readers. In the prompted mode, findings were recorded before and after activation of CAD. The partial area under the location receiver operating characteristic (ROC) curve for an interval of low false-positive fractions typical for screening, from 0 to 0.2, was computed for each reader and each mode. Differences in reader performance were analyzed by using software.
Results
The average partial area under the location ROC curve with unaided reading was 0.57, and it increased to 0.62 with interactive CAD, while it remained unaffected by prompts. The difference in reader performance for unaided reading versus interactive CAD was statistically significant (P = .009).
Conclusion
When used as decision support, interactive use of CAD for malignant masses on mammograms may be more effective than the current use of CAD, which is aimed at the prevention of perceptual oversights.
© RSNA, 2012
References
- 1 . Single reading with computer-aided detection for screening mammography. N Engl J Med 2008;359(16):1675–1684. Crossref, Medline, Google Scholar
- 2 . Screening mammograms: interpretation with computer-aided detection—prospective evaluation. Radiology 2006;239(2):375–383. Link, Google Scholar
- 3 . Improved cancer detection using computer-aided detection with diagnostic and screening mammography: prospective study of 104 cancers. AJR Am J Roentgenol 2006;187(1):20–28. Crossref, Medline, Google Scholar
- 4 . Current status and future directions of computer-aided diagnosis in mammography. Comput Med Imaging Graph 2007;31(4-5):224–235. Crossref, Medline, Google Scholar
- 5 . Effectiveness of computer-aided detection in community mammography practice. J Natl Cancer Inst 2011;103(15):1152–1161. Crossref, Medline, Google Scholar
- 6 . Computer aids and human second reading as interventions in screening mammography: two systematic reviews to compare effects on cancer detection and recall rate. Eur J Cancer 2008;44(6):798–807. Crossref, Medline, Google Scholar
- 7 . Influence of computer-aided detection on performance of screening mammography. N Engl J Med 2007;356(14):1399–1409. Crossref, Medline, Google Scholar
- 8 . Computer-aided detection performance in mammographic examination of masses: assessment. Radiology 2004;233(2):418–423. Link, Google Scholar
- 9 . Early detection of breast cancer: overview of the evidence on computer-aided detection in mammography screening. J Med Imaging Radiat Oncol 2009;53(2):171–176. Crossref, Medline, Google Scholar
- 10 . CAD in mammography: lesion-level versus case-level analysis of the effects of prompts on human decisions. Int J CARS 2008;3(1-2):115–122. Crossref, Google Scholar
- 11 . Observer variability in cancer detection during routine repeat (incident) mammographic screening in a study of two versus one view mammography. J Med Screen 1999;6(3):152–158. Crossref, Medline, Google Scholar
- 12 . Perception of breast cancer: eye-position analysis of mammogram interpretation. Acad Radiol 2003;10(1):4–12. Crossref, Medline, Google Scholar
- 13 . Computer-aided detection versus independent double reading of masses on mammograms. Radiology 2003;227(1):192–200. Link, Google Scholar
- 14 . Computer aided detection of masses in mammograms as decision support. Br J Radiol 2006;79(Spec No 2):S123–S126. Crossref, Medline, Google Scholar
- 15 . Classification of breast lesions with multimodality computer-aided diagnosis: observer study results on an independent clinical data set. Radiology 2006;240(2):357–368. Link, Google Scholar
- 16 . Evaluation of information-theoretic similarity measures for content-based retrieval and detection of masses in mammograms. Med Phys 2007;34(1):140–150. Crossref, Medline, Google Scholar
- 17 . Interactive computer-aided diagnosis of breast masses: computerized selection of visually similar image sets from a reference library. Acad Radiol 2007;14(8):917–927. Crossref, Medline, Google Scholar
- 18 . Using computer-aided detection in mammography as a decision support. Eur Radiol 2010;20(10):2323–2330. Crossref, Medline, Google Scholar
- 19 . Breast cancer screening results 5 years after introduction of digital mammography in a population-based screening program. Radiology 2009;253(2):353–358. Link, Google Scholar
- 20 . Computer-aided detection as a decision assistant in chest radiography. In: Editor A, Editor B, eds. Proceedings of SPIE: medical imaging 2011—title. Vol 7966. Bellingham, Wash: SPIE–The International Society for Optical Engineering, 2011; 796614. Crossref, Google Scholar
- 21 . The use of contextual information for computer aided detection of masses in mammograms. In: Editor A, Editor B, eds. Proceedings of SPIE: medical imaging 2009—title. Vol 7260. Bellingham, Wash: SPIE–The International Society for Optical Engineering, 2009; 72600Q. Crossref, Google Scholar
- 22 . Computer-aided detection of masses in full-field digital mammography using screen-film mammograms for training. Phys Med Biol 2008;53(23):6879–6891. Crossref, Medline, Google Scholar
- 23 . Matching breast masses depicted on different views a comparison of three methods. Acad Radiol 2009;16(11):1338–1347. Crossref, Medline, Google Scholar
- 24 . Combining two mammographic projections in a computer aided mass detection method. Med Phys 2007;34(3):898–905. Crossref, Medline, Google Scholar
- 25 . Computerized localization of breast lesions from two views. An experimental comparison of two methods. Invest Radiol 1999;34(9):585–588. Crossref, Medline, Google Scholar
- 26 . Effects of computer-aided diagnosis on radiologists’ detection of breast masses. IWDM: Proceedings of the 7th International Workshop on Digital Mammography, 2004; 219–224. Google Scholar
- 27 . Receiver operating characteristic rating analysis. Generalization to the population of readers and patients with the jackknife method. Invest Radiol 1992;27(9):723–731. Crossref, Medline, Google Scholar
- 28 . Independent versus sequential reading in ROC studies of computer-assist modalities: analysis of components of variance. Acad Radiol 2002;9(9):1036–1043. Crossref, Medline, Google Scholar
Article History
Received February 7, 2012; revision requested March 26; revision received May 28; accepted June 6; final version accepted June 18.Published online: Jan 2013
Published in print: Jan 2013







