Mammography reading with Computer-Aided Detection (CAD): Single view vs two views

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Abstract

Two-view mammography is known to be more effective than one-view in increasing breast cancer detection and reducing recall rates. In addition, there is evidence that computer aided detection (CAD) systems are able to prompt malignant abnormalities that have been overlooked by a human reader. Using data from the UK NHS Breast Screening Programme (NHSBSP) we compared double reading with single reading using a CAD system, to assess the relationship between CAD and number of views in terms of the sensitivity of the screening regime to cancer detection and the recall rate of normal cases. CAD appeared to contribute to an increased cancer detection rate with single-view mammography without significantly increasing the recall rate. For two-view mammography, there was no significant change in sensitivity using CAD but a significantly higher recall rate. However, single-view mammography was used in incident rounds in which previous mammograms were available whereas two-view mammography was used in the prevalent round where no previous mammograms were available. © Springer-Verlag Berlin Heidelberg 2006.

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APA

Agbaje, O. F., Astley, S. M., Gillan, M. G. C., Boggis, C. R. M., Wilson, M., Barr, N. B., … Gilbert, F. J. (2006). Mammography reading with Computer-Aided Detection (CAD): Single view vs two views. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4046 LNCS, pp. 125–130). Springer Verlag. https://doi.org/10.1007/11783237_18

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