Abstract
A link between increased breast density, as visualised in mammograms, and increased risk of developing breast cancer has been established. Recently, a number of objective, quantitative methods for measuring breast density have been described. One such method requires a calibration object to be imaged alongside the breast. However, it is important that this should not interfere with the routine imaging process. In this paper, we investigate the amount of space in mammographic images which is not currently occupied by the breast or existing patient labels and markers, and which would therefore be available for imaging an additional calibration device. We do this with a view to estimating the likelihood of failure of the method, and also to determining whether, without detriment to the imaging process, a device could be permanently fixed to the breast support platform. We also examine the impact of markers attached to the compression plate on the visibility of breast tissue. The results show that our existing calibration device may be used successfully without interfering with the routine imaging process, although permanently fixing such a device may present problems in a small minority of cases, and we demonstrate that the number of cases which would fail can be reduced by using a smaller stepwedge.
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References
Amir, E., Evans, D.G., Shepstone, A., Lallov, F., et al.: Evaluation of breast cancer risk assessment packages in the family history evaluation and screening programme. E. J. Med. Genet. 40, 801–814 (2003)
Boyd, N.F., Byng, J.W., Jong, R.A., Fishell, E.K., et al.: Quantitative classification of mammographic densities and breast cancer risk: results from the Canadian National Breast Screening Study. J. Natl. Cancer Inst. 87(9), 670–675 (1999)
Wolfe, J.N.: Breast patterns as an index of risk for developing breast cancer. AJR Am. J. Roentgenol. 126(6), 1130–1137 (1976)
Day, N., Warren, R.: Mammographic screening and mammographic patterns. Breast Cancer Res. 2(4), 247–251 (2000)
Pawluczyk, O., Augustine, B.J., Yaffe, M.J., Rico, D., Yang, J., Mawdsley, G.E.: A volumetric method for estimation of breast density on digitized screen-film mammograms. Med. Phys. 30, 352–364 (2003)
Highnam, R., Brady, M.: Mammographic Image Analysis. Kluwer Academic Publishers, Dordrecht (1999)
Hufton, A.P., Astley, S.M., Marchant, T.E., Patel, H.G.: A method for the quantification of dense breast tissue from digitised mammograms. In: Proceedings of the 7th IWDM, June 18-21, Durham, North Carolina (2004)
Shepherd, J.A., Herve, L., Landau, J., Fan, B., Kerlikowske, K., Cummings, S.R.: Novel use of single x-ray absorptiometry for measuring breast density. Technol. Cancer Res. Treat. 4(2), 173–182 (2005)
Patel, H.G., Astley, S.M., Hufton, A.P., Harvie, M., et al.: Automated breast tissue measurement of women at increased risk of breast cancer. In: Proceedings of the 8th International Workshop on Digital Mammography, Manchester, England, June 19-21 (2006)
Diffey, J.: A new stepwedge for the volumetric measurement of breast density. In: Proceedings of the 8th International Workshop on Digital Mammography, Manchester, England, June 19-21 (2006)
Young, K.C., Burch, A., Oduko, J.M.: Radiation doses received in the UK Breast Screening Program in 2001 and 2002. British Journal of Radiology 78, 207–218 (2005)
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© 2006 Springer-Verlag Berlin Heidelberg
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Berks, M., Diffey, J., Hufton, A., Astley, S. (2006). Feasibility and Acceptability of Stepwedge-Based Density Measurement. In: Astley, S.M., Brady, M., Rose, C., Zwiggelaar, R. (eds) Digital Mammography. IWDM 2006. Lecture Notes in Computer Science, vol 4046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11783237_48
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DOI: https://doi.org/10.1007/11783237_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35625-7
Online ISBN: 978-3-540-35627-1
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