Abstract
Women who carry the BRCA1/BRCA2 gene are estimated to have a 20% risk of developing breast cancer by age 40 and an 87% lifetime risk of developing breast cancer, which is 8 times as high as that for the general population. Therefore, earlier surveillance of young women at very high risk has been recommended. In this study, we are developing computerized methods to quantitatively characterize breast parenchyma on digitized mammograms. We evaluated the performance of the computerized method using mammograms from women who are BRCAl/BRCA2-mutation carriers and from low-risk women
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Gail MH, Brinton LA, Byar DP, et al (1989) Projecting individualized probabilities of developing breast cancer to white females who are being examined annually. J Natl Cancer Inst 81, pp 1879–1886.
Gail MH, Benichou J (1992) Assessing the risk of breast cancer in individuals. Cancer Prevention Philadelphia, J. B. Lippincott, pp 1–15.
Huo Z, Giger ML, Olopade OI, et al. (1996) Computer-aided diagnosis: Breast cancer risk assessment from mammographic parenchymal patterns in digitized mammograms. In: K. Doi et al. (eds), Digital Mammography, Elsevier Amsterdam, pp 191–194.
Byng J, Boyd N, Fishell E, Jong R and Yaffe M (1996) Automated analysis of mammographic densities. Phys Med Biol 41 pp 909–923.
Amadasum M and King R (1989) Texture features corresponding to texture properties. IEEE Trans on System, Man and Cybernetics 19 pp 1264–1274.
Tahoces P, Correa J, Souto M, Gomes L and Vidal J (1995). Computer-assisted diagnosis: The classification of mammographie breast parenchymal patterns. Phys Med Biol 40 pp 103–117.
Lachbenbruch PL (1975) Discriminant Analysis. London, Hafher Press.
Metz CE (1986) ROC methodology in radiologic imaging. Invest Radiol, 21, pp 720–733.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Huo, Z. et al. (1998). Computerized Analysis of Digitized Mammograms of Women with Low Breast Cancer Risk and of BRCA1/BRCA2 Gene-Mutation Carriers. In: Karssemeijer, N., Thijssen, M., Hendriks, J., van Erning, L. (eds) Digital Mammography. Computational Imaging and Vision, vol 13. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5318-8_69
Download citation
DOI: https://doi.org/10.1007/978-94-011-5318-8_69
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-6234-3
Online ISBN: 978-94-011-5318-8
eBook Packages: Springer Book Archive