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.
Age- and race-dependence of the fibroglandular breast density analyzed on 3D MRI
2.N. A. Lee, H. Rusinek, J. Weinreb, R. Chandra, H. Toth, C. Singer, and G. Newstead, “Fatty and fibroglandular tissue volumes in the breasts of women 20–83 years old: Comparison of x-ray mammography and computer assisted MR imaging,” AJR, Am. J. Roentgenol. 168, 501–506 (1997).
3.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).
4.J. Yao, J. A. Zujewski, J. Orzano, S. Prindiville, and C. Chow, “Classification and calculation of breast fibroglandular tissue volume on SPGR fat suppressed MRI.” Proc. SPIE 5747, 1942–1949 (2005).
5.J. Eng-Wong, J. Orzano-Birgani, C. K. Chow, D. Venzon, J. Yao, C. E. Galbo, J. A. Zujewski, and S. Prindiville, “Effect of raloxifene on mammographic density and breast magnetic resonance imaging in premenopausal women at increased risk of breast cancer,” Cancer Epidemiol. Biomarkers Prev. 17, 1696–1701 (2008).
6.C. Klifa, J. Carballido-Gamio, L. Wilmes, A. Laprie, C. Lobo, E. Demicco, M. Watkins, J. Shepherd, J. Gibbs, and N. Hylton, “Quantification of breast tissue index from MR data using fuzzy cluster,” Proceedings of IEEE Engineering in Medicine and Biology Society, 2004, Vol. 3, pp. 1667–1670 (unpublished).
7.J. Wei, H. P. Chan, M. A. Helvie, M. A. Roubidoux, B. Sahiner, L. M. Hadjiiski, C. Zhou, S. Paquerault, T. Chenevert, and M. M. Goodsitt, “Correlation between mammographic density and volumetric fibroglandular tissue estimated on breast MR images,” Med. Phys. 31, 933–942 (2004).
8.K. Nie, J. H. Chen, S. Chan, M. K. Chau, H. J. Yu, S. Bahri, T. Tseng, O. Nalcioglu, and M. Y. Su, “Development of a quantitative method for analysis of breast density based on three-dimensional breast MRI,” Med. Phys. 35, 5253–5262 (2008).
9.M. Khazen, R. M. Warren, C. R. Boggis, E. C. Bryant, S. Reed, I. Warsi, L. J. Pointon, G. E. Kwan-Lim, D. Thompson, R. Eeles, D. Easton, D. G. Evans, M. O. Leach, and Collaborators in the United Kingdom Medical Research Council Magnetic Resonance Imaging in Breast Screening (MARIBS) Study, “A pilot study of compositional analysis of the breast and estimation of breast mammographic density using three-dimensional T1-weighted magnetic resonance imaging,” Cancer Epidemiol. Biomarkers Prev. 17, 2268–2274 (2008).
10.D. J. Thompson, M. O. Leach, G. Kwan-Lim, S. A. Gayther, S. J. Ramus, I. Warsi, F. Lennard, M. Khazen, E. Bryant, S. Reed, C. R. Boggis, D. G. Evans, R. A. Eeles, D. F. Easton, R. M. Warren, and The UK Study of MRI Screening for Breast Cancer in Women at High Risk (MARIBS), “Assessing the usefulness of a novel MRI-based breast density estimation algorithm in a cohort of women at high genetic risk of breast cancer: The UK MARIBS study,” Breast Cancer Research 11, R80 (2009).
11.J. H. Chen, B. Feig, G. Agrawal, H. Yu, P. M. Carpenter, P. S. Mehta, O. Nalcioglu, and M. Y. Su, “MRI evaluation of pathologically complete response and residual tumors in breast cancer after neoadjuvant chemotherapy,” Cancer 112, 17–26 (2008).
12.A. Y. El-Bastawissi, E. White, M. T. Mandelson, and S. H. Taplin, “Reproductive and hormonal factors associated with mammographic breast density by age (United States),” Cancer Causes Control 11, 955–963 (2000).
13.C. M. Vachon, V. S. Pankratz, C. G. Scott, S. D. Maloney, K. Ghosh, K. R. Brandt, T. Milanese, M. J. Carston, and T. A. Sellers, “Longitudinal trends in mammographic percent density and breast cancer risk,” Cancer Epidemiol. Biomarkers Prev. 16, 921–928 (2007).
14.N. M. Perry, P. C. Allgood, S. E. Milner, K. Mokbel, and S. W. Duffy, “Mammographic breast density by area of residence: Possible evidence of higher density in urban areas,” Curr. Med. Res. Opin. 24, 365–368 (2008).
15.G. Caire-Juvera, L. A. Arendell, G. Maskarinec, C. A. Thomson, and Z. Chen, “Associations between mammographic density and body composition in Hispanic and non-Hispanic white women by menopause status,” Menopause 15, 319–325 (2008).
16.K. Kerlikowske, L. Ichikawa, D. L. Miglioretti, D. S. Buist, P. M. Vacek, R. Smith-Bindman, B. Yankaskas, P. A. Carney, R. Ballard-Barbash, and National Institutes of Health Breast Cancer Surveillance Consortium, “Longitudinal measurement of clinical mammographic breast density to improve estimation of breast cancer risk,” J. Natl. Cancer Inst. 99, 386–395 (2007).
17.G. Maskarinec, I. Pagano, G. Lurie, and L. N. Kolonel, “A longitudinal investigation of mammographic density: The multiethnic cohort,” Cancer Epidemiol. Biomarkers Prev. 15, 732–739 (2006).
18.S. M. Gapstur, P. López, L. A. Colangelo, J. Wolfman, L. Van Horn, and R. E. Hendrick, “Associations of breast cancer risk factors with breast density in Hispanic women,” Cancer Epidemiol. Biomarkers Prev. 12, 1074–1080 (2003).
19.G. Ursin, H. Y. Ma, A. H. Wu, L. Bernstein, M. Salane, Y. R. Parisky, M. Astrahan, C. C. Siozon, and M. C. Pike, “Mammographic density and breast cancer in three ethnic groups,” Cancer Epidemiol. Biomarkers Prev. 12, 332–338 (2003).
20.S. A. Bartow, D. R. Pathak, F. A. Mettler, C. R. Key, and M. C. Pike, “Breast mammographic pattern: A concatenation of confounding and breast cancer risk factors,” Am. J. Epidemiol. 71, 647–650 (1975).
22.E. White, P. Velentgas, M. T. Mandelson, C. D. Lehman, J. G. Elmore, P. Porter, Y. Yasui, and S. H. Taplin, “Variation in mammographic breast density by time in menstrual cycle among women aged 40–49 years,” J. Natl. Cancer Inst. 90, 906–910 (1998).
26.I. H. Gravelle, R. D. Bullbrook, D. Y. Wang, D. Allen, J. L. Hayward, J. C. Bulstrode, and O. Takatani, “A comparison of mammographic parenchymal patterns in premenopausal Japanese and British women,” Breast Cancer Res. Treat. 18, S93–S95 (1991).
27.G. Maskarinec, L. C. Lyu, L. Meng, A. Theriault, and G. Ursin, “Determinations of mammographic density among women of Asian, Native Hawaiian, and Caucasian ancestry,” Ethn Dis. 11, 44–50 (2001).
29.G. Maskarinec, C. Nagata, H. Shimmizu, and Y. Kashiki, “Comparison of mammographic densities and their determinates in women from Japan and Hawaii,” Int. J. Cancer 102, 29–33 (2002).
30.Z. Chen, A. H. Wu, W. J. Gauderman, L. Bernstein, H. Ma, M. C. Pike, and G. Ursin, “Does mammographic density reflect ethnic differences in breast cancer incidence rates?,” Am. J. Epidemiol. 159, 140–147 (2004).
31.R. J. Santen, N. F. Boyd, R. T. Chelbowski, S. Cummings, J. Cuzick, M. Dowsett, D. Easton, J. F. Forbes, T. Key, S. E. Hankinson, A. Howell, and J. Ingle, “Critical assessment of new risk factors for breast cancer: Considerations for development of an improved risk prediction model,” Endocrine Related Cancer 14, 169–187 (2007).
32.K. Nie, J. H. Chen, D. Chang, C. C. Hsu, O. Nalcioglu, and M. Y. Su, “Quantitative analysis of breast parenchymal patterns using 3D fibroglandular tissue segmentation based on MRI,” Med. Phys. 37, 217–226 (2010).
33.C. Klifa, J. Carballido-Gamio, L. Wilmes, A. Laprie, J. Shepherd, J. Gibbs, B. Fan, S. Noworolski, and N. Hylton, “Magnetic resonance imaging for secondary assessment of breast density in a high-risk cohort,” Magn. Reson. Imaging 28, 8–15 (2010).
34.K. Nie, D. Chang, J. H. Chen, C. C. Hsu, T. C. Shih, O. Nalcioglu, and M. Y. Su, “Segmentation of skin for quantitative measurement of breast density on MRI,” Med. Phys. 37, 227–233 (2010).
35.J. Cuzick, J. Warwick, E. Pinney, L. R. M. Warren, and S. W. Duffy, “Change in breast density as a biomarker of breast cancer risk reduction: Results from IBIS-1,” Proceedings of the San Antonio Breast Cancer Symposium (SABCS), Abstract, 2008, p. 61 (unpublished).
36.M. Lin, J. H. Chen, K. Ni, D. Chang, O. Nalcioglu, and M. Y. Su, “An algorithm-based method for the detection of blood vessels in breast MRI for the development of computer-aided diagnosis,” J. Magn. Reson Imaging 30, 817–824 (2009).
Article metrics loading...
Full text loading...
Most read this month