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Title: Health professionals’ agreement on density judgements and successful abnormality identification within the UK Breast Screening Programme
Authors: Darker, Iain T.
Chen, Yan
Gale, Alastair G.
Keywords: Breast screening
Breast cancer
Mammography
Mammographic density
Receiver operator characteristic
Sensitivity
Specificity
Issue Date: 2011
Publisher: © The Society of Photo-Optical Instrumentation Engineers (SPIE)
Citation: DARKER, I.T., CHEN, Y. and GALE, A.G., 2011. Health professionals’ agreement on density judgements and successful abnormality identification within the UK Breast Screening Programme. IN: Manning, D.J. and Abbey, C.K. (eds.). Proceedings of SPIE, Vol. 7996, Medical Imaging 2011: Image Perception, Observer Performance, and Technology Assessment, Buena Vista, United States, 12th-17th February, pp. 796604-1 - 796604-10.
Abstract: Higher breast density is associated with a greater chance of developing breast cancer. Additionally, it is well known that higher mammographic breast density is associated with increased difficulty in accurately identifying breast cancer. However, comparatively little is known of the reliability of breast density judgements. All UK breast screeners (primarily radiologists and technologists) annually participate in the PERFORMS self-assessment scheme where they make several judgements about series of challenging recent screening cases of known outcomes. As part of this process, for each case, they provide a radiological assessment of the likelihood of cancer on a confidence scale, alongside an assessment of case density using a three point scale. Analysis of the data from two years of the scheme found that the degree of agreement on case density was significantly greater than no agreement (p < .001). However, only a moderate degree of inter-rater reliability was exhibited (κ = .44) with significant differences between the occupational groups. The reasons for differences between the occupational groups and the relationship between agreement on density rating and case reading ability are explored.
Description: This is a conference paper. Further details of the conference can be found at: http://spie.org/medical-imaging.xml. Copyright © 2011 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Version: Published
DOI: 10.1117/12.878761
URI: https://dspace.lboro.ac.uk/2134/8249
Publisher Link: http://dx.doi.org/10.1117/12.878761
ISBN: 9780819485083
Appears in Collections:Conference Papers (Computer Science)

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