No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
The myth of the 50-50 breast
1.P. A. Carney, D. L. Miglioretti, B. C. Yankaskas, K. Kerlikowske, R. Rosenberg, C. M. Rutter, B. M. Geller, L. A. Abraham, S. H. Taplin, M. Dignan, G. Cutter, and R. Ballard-Barbash, “Individual and combined effects of age, breast density, and hormone replacement therapy use on the accuracy of screening mammography,” Ann. Intern Med. 138(3), 168–175 (2003).
2.N. F. Boyd, H. Guo, L. J. Martin, L. Sun, J. Stone, E. Fishell, R. A. Jong, G. Hislop, A. Chiarelli, S. Minkin, and M. J. Yaffe, “Mammographic density and the risk and detection of breast cancer,” N. Engl. J. Med. 356(3), 227–236 (2007).
3.D. S. M. Buist, P. L. Porter, C. Lehman, S. H. Taplin, and E. White, “Factors contributing to mammography failure in women aged 40–49 years,” J. Natl. Cancer Inst. 96, 1432–1440 (2004).
4.American College of Radiology, American College of Radiology Breast Imaging Reporting and Data System (BI-RADS), 4th ed. (American College of Radiology, Reston, 2003).
5.J. N. Wolfe, A. F. Saftlas, and M. Salane, “Mammographic parenchymal patterns and quantitative evaluation of mammographic densities: A case-control study,” AJR, Am. J. Roentgenol. 148, 1087–1092 (1987).
6.C. Byrne, C. Schairer, J. Wolfe, N. Parekh, M. Salane, L. A. Brinton, R. Hoover, and R. Haile, “Mammographic features and breast cancer risk: Effects with time, age, and menopause status,” J. Natl. Cancer Inst. 87, 1622–1629 (1995).
7.N. F. Boyd, J. W. Byng, R. A. Jong, E. K. Fishell, L. E. Little, A. B. Miller, G. A. Lockwood, D. L. Tritchler, and M. J. Yaffe, “Quantitative classification of mammographic densities and breast cancer risk: Results from the Canadian national breast screening study,” J. Natl. Cancer Inst. 87, 670–675 (1995).
8.N. F. Boyd et al., “Mammographic signs as risk factors for breast cancer,” Br. J. Cancer 45, 185–193 (1982).
11.O. Pawluczyk, B. J. Augustine, M. J. Yaffe, D. Rico, J. Yang, G. E. Mawdsley, and N. F. Boyd, “A volumetric method for estimation of breast density on digitized screen-film mammograms,” Med. Phys. 30(3), 352–364 (2003).
12.R. Highnam, X. Pan, R. Warren, M. Jeffreys, G. Davey Smith, and M. Brady, “Breast composition measurements using retrospective standard mammogram form (SMF),” Phys. Med. Biol. 51(11), 2695–2713 (2006).
13.J. A. Shepherd, K. M. Kerlikowske, R. Smith-Bindman, H. K. Genant, and S. R. Cummings, “Measurement of breast density with dual x-ray absorptiometry: Feasibility,” Radiology 223, 554–557 (2002).
14.J. Kaufhold, J. A. Thomas, J. W. Eberhard, C. E. Galbo, and D. E. Trotter, “A calibration approach to glandular tissue composition estimation in digital mammography,” Med. Phys. 29, 1867–1880 (2002).
15.S. Van Engeland, P. R. Snoeren, H. Huisman, C. Boetes, and N. Karssemeijer, “Volumetric breast density estimation from full-field digital mammograms,” IEEE Trans. Med. Imaging 25, 273–282 (2006).
16.G. R. Hammerstein, in Depth Dose Data for Mammography in Reduced Dose Mammography edited by W. W. Logan and E. P. Muntz (Masson, New York, 1979), pp. 47–66.
17.G. R. Hammerstein, D. W. Miller, D. R. White, M. E. Masterson, H. Q. Woodard, and J. S. Laughlin, “Absorbed radiation dose in mammography,” Radiology 130, 485–491 (1979).
18.L. Stanton, T. Villafana, J. L. Day, and D. A. Lightfoot, “Dosage evaluation in mammography,” Radiology 150, 577–584 (1984).
19.R. Fahrig, A. D. A. Maidment, and M. J. Yaffe, “Optimization of peak kilovoltage and spectral shape for digital mammography,” Proc. SPIE 1651, 74–83 (1992).
22.J. M. Boone, T. Nelson, A. Kwan, and K. Yang, “Computed tomography of the breast: Design, fabrication, characterization, and initial clinical testing,” Med. Phys. 33, 2185 (2006).
24.J. M. Boone, A. L. Kwan, K. Yang, G. W. Burkett, K. K. Lindfors, and T. R. Nelson, “Computed tomography for imaging the breast,” J. Mammary Gland Biol. Neoplasia 11(2), 103–111 (2006).
25.K. K. Lindfors, J. M. Boone, T. R. Nelson, K. Yang, A. L. Kwan, and D. F. Miller, “Dedicated breast CT: Initial clinical experience,” Radiology 246(3), 725–733 (2008).
26.J. B. MacQueen, “Some methods for classification and analysis of multivariate observations,” Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability (University of California Press, Berkeley, 1967), Vol. 1, pp. 281–297.
29.A. H. Tyson, G. E. Mawdsley, and M. J. Yaffe, “Measurement of compressed breast thickness by optical stereoscopic photogrammetry,” Med. Phys. 36, 569–576 (2009).
30.G. E. Mawdsley, A. H. Tyson, C. L. Peressotti, R. A. Jong, and M. J. Yaffe, “Accurate estimation of compressed breast thickness in mammography,” Med. Phys. 36, 577–586 (2009).
31.S. Y. Huang, J. M. Boone, K. Yang, A. L. Kwan, and N. J. Packard, “The effect of skin thickness determined using breast CT on mammographic dosimetry,” Med. Phys. 35(4), 1199–1206 (2008).
32.K. K. Brock, M. B. Sharpe, L. A. Dawson, S. M. Kim, and D. A. Jaffray, “Accuracy of finite element model-based multi-organ deformable image registration,” Med. Phys. 32, 1647–1658 (2005).
35.R. Klein, H. Aichinger, J. Dierker, J. T. M. Jansen, S. Joite-Barfuß, M. Säbel, R. Shulz-Wendtland, and J. Zoetelief, “Determination of average glandular dose with modern mammography units for two large groups of patients,” Phys. Med. Biol. 42, 651–671 (1997).
36.D. R. Dance, C. L. Skinner, K. C. Young, J. R. Beckett, and C. J. Kotre, “Additional factors for the estimation of mean glandular breast,” Phys. Med. Biol. 45, 3225–3240 (2000) (dose using the UK mammography dosimetry protocol).
37.K. C. Young, M. L. Ramsdale, and F. Bignall, “Review of dosimetric methods for mammography in the UK breast screening programme,” Radiat. Prot. Dosim. 80, 183–186 (1998).
Article metrics loading...
Full text loading...
Most read this month