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Visually assessed breast density, breast cancer risk and the importance of the craniocaudal view
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Duffy, Stephen W., Nagtegaal, Iris D., Astley, Susan M., Gillan, Maureen G. C., McGee, Magnus A., Boggis, Caroline R. M., Wilson, Mary, Beetles, U., Griffiths, Miriam A., Jain, Anil K., Johnson, Jill, Roberts, Rita, Deans, Heather, Duncan, Karen A., Iyengar, Geeta, Griffiths, Pam M., Warwick, Jane, Cuzick, Jack and Gilbert, F. J. (Fiona J.) (2008) Visually assessed breast density, breast cancer risk and the importance of the craniocaudal view. Breast Cancer Research, Volume 10 (Number 4). Article number R64. doi:10.1186/bcr2123 ISSN 1465-542X.
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Official URL: http://dx.doi.org/10.1186/bcr2123
Abstract
Introduction:
Mammographic density is known to be a strong risk factor for breast cancer. A particularly strong association with risk has been observed when density is measured using interactive threshold software. This, however, is a labour-intensive process for large-scale studies.
Methods:
Our aim was to determine the performance of visually assessed percent breast density as an indicator of breast cancer risk. We compared the effect on risk of density as measured with the mediolateral oblique view only versus that estimated as the average density from the mediolateral oblique view and the craniocaudal view. Density was assessed using a visual analogue scale in 10,048 screening mammograms, including 311 breast cancer cases diagnosed at that screening episode or within the following 6 years.
Results:
Where only the mediolateral oblique view was available, there was a modest effect of breast density on risk with an odds ratio for the 76% to 100% density relative to 0% to 25% of 1.51 (95% confidence interval 0.71 to 3.18). When two views were available, there was a considerably stronger association, with the corresponding odds ratio being 6.77 (95% confidence interval 2.75 to 16.67).
Conclusion:
This indicates that a substantial amount of information on risk from percentage breast density is contained in the second view. It also suggests that visually assessed breast density has predictive potential for breast cancer risk comparable to that of density measured using the interactive threshold software when two views are available. This observation needs to be confirmed by studies applying the different measurement methods to the same individuals.
Item Type: | Journal Article | ||||
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Subjects: | R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology (including Cancer) | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Clinical Trials Unit Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Health Sciences Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School |
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Library of Congress Subject Headings (LCSH): | Breast -- Cancer -- Risk factors, Breast -- Medical examinations | ||||
Journal or Publication Title: | Breast Cancer Research | ||||
Publisher: | BioMed Central Ltd. | ||||
ISSN: | 1465-542X | ||||
Official Date: | 23 July 2008 | ||||
Dates: |
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Volume: | Volume 10 | ||||
Number: | Number 4 | ||||
Article Number: | Article number R64 | ||||
DOI: | 10.1186/bcr2123 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Open Access (Creative Commons) | ||||
Date of first compliant deposit: | 28 December 2015 | ||||
Date of first compliant Open Access: | 28 December 2015 | ||||
Funder: | Cancer Research UK (CRUK), KWF Kankerbestrijding [Dutch Cancer Society] |
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