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Reproducibility of prompts in computer-aided detection (CAD) of breast cancer

Taylor, C.G.; Champness, J.; Reddy, M.; Taylor, P.; Potts, H.W.W.; Given-Wilson, R.; (2003) Reproducibility of prompts in computer-aided detection (CAD) of breast cancer. Clinical Radiology , 58 (9) pp. 733-738. 10.1016/S0009-9260(03)00231-9.

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AIM: We evaluated the reproducibility of prompts using the R2 ImageChecker M2000 computer-aided detection (CAD) system. MATERIALS AND METHODS: Forty selected two-view mammograms of women with breast cancer were digitized and analysed using the ImageChecker on 10 separate occasions. The mammograms were chosen to provide both straightforward and subtle signs of malignancy. Data analysed included mammographic abnormality, pathology, and whether the cancer was prompted or given an emphasized prompt. RESULTS: Correct prompts were generated in 86 out of 100 occasions for screen-detected cancers. Reproducibility was less in the other categories of more subtle cancers: 21% for cancers previously missed by CAD, a group that contained more grade 1 and small (<10 mm) tumours. Prompts for calcifications were more reproducible than those for masses (76% versus 53%) and these cancers were more likely to have an emphasized prompt. CONCLUSIONS: Probably the most important cause of variability of prompts is shifts in film position between sequential digitizations. Consequently subtle lesions that are only just above the threshold for display may not be prompted on repeat scanning. However, users of CAD should be aware that even emphasized prompts are not consistently reproducible.

Type: Article
Title: Reproducibility of prompts in computer-aided detection (CAD) of breast cancer
DOI: 10.1016/S0009-9260(03)00231-9
Publisher version: http://dx.doi.org/doi:10.1016/S0009-9260(03)00231-...
Language: English
Keywords: computer-aided detection, reproducibility, mammography, breast cancer
UCL classification: UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Pop Health Sciences > Institute of Health Informatics > CHIME
URI: http://discovery.ucl.ac.uk/id/eprint/1051
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