Mammographic density defined by higher than conventional brightness thresholds better predicts breast cancer risk

Tuong L. Nguyen; Ye K. Aung; Christopher F. Evans; G.S. Dite; Jennifer Stone; Robert J. MacInnis; James G. Dowty; Adrian Bickerstaffe; K. Aujard; Johanna M. Rommens; Yun-Mi Song; Joohon Sung; Mark Jenkins; Melissa C. Southey; Graham G. Giles; Carmel Apicella; John L. Hopper

doi:10.1093/ije/dyw212

Mammographic density defined by higher than conventional brightness thresholds better predicts breast cancer risk

Tuong L. Nguyen, Ye K. Aung, Christopher F. Evans, G.S. Dite, Jennifer Stone, Robert J. MacInnis, James G. Dowty, Adrian Bickerstaffe, K. Aujard, Johanna M. Rommens, Yun-Mi Song, Joohon Sung, Mark Jenkins, Melissa C. Southey, Graham G. Giles, Carmel Apicella, John L. Hopper

Centre for Genetic Origins of Health and Diseases

Research output: Contribution to journal › Article › peer-review

31 Citations (Web of Science)

Original language	English
Pages (from-to)	652-661
Number of pages	10
Journal	International Journal of Epidemiology
Volume	46
Issue number	2
DOIs	https://doi.org/10.1093/ije/dyw212
Publication status	Published - 2017

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10.1093/ije/dyw212Licence: CC BY-NC-ND

Cite this

Nguyen, T. L., Aung, Y. K., Evans, C. F., Dite, G. S., Stone, J., MacInnis, R. J., Dowty, J. G., Bickerstaffe, A., Aujard, K., Rommens, J. M., Song, Y.-M., Sung, J., Jenkins, M., Southey, M. C., Giles, G. G., Apicella, C., & Hopper, J. L. (2017). Mammographic density defined by higher than conventional brightness thresholds better predicts breast cancer risk. International Journal of Epidemiology, 46(2), 652-661. https://doi.org/10.1093/ije/dyw212

@article{f56e740f15bb405aa6098462006a408b,

title = "Mammographic density defined by higher than conventional brightness thresholds better predicts breast cancer risk",

author = "Nguyen, {Tuong L.} and Aung, {Ye K.} and Evans, {Christopher F.} and G.S. Dite and Jennifer Stone and MacInnis, {Robert J.} and Dowty, {James G.} and Adrian Bickerstaffe and K. Aujard and Rommens, {Johanna M.} and Yun-Mi Song and Joohon Sung and Mark Jenkins and Southey, {Melissa C.} and Giles, {Graham G.} and Carmel Apicella and Hopper, {John L.}",

year = "2017",

doi = "10.1093/ije/dyw212",

language = "English",

volume = "46",

pages = "652--661",

journal = "International Journal of Epidemiology",

issn = "0300-5771",

publisher = "Oxford University Press",

number = "2",

}

Nguyen, TL, Aung, YK, Evans, CF, Dite, GS, Stone, J, MacInnis, RJ, Dowty, JG, Bickerstaffe, A, Aujard, K, Rommens, JM, Song, Y-M, Sung, J, Jenkins, M, Southey, MC, Giles, GG, Apicella, C & Hopper, JL 2017, 'Mammographic density defined by higher than conventional brightness thresholds better predicts breast cancer risk', International Journal of Epidemiology, vol. 46, no. 2, pp. 652-661. https://doi.org/10.1093/ije/dyw212

TY - JOUR

T1 - Mammographic density defined by higher than conventional brightness thresholds better predicts breast cancer risk

AU - Nguyen, Tuong L.

AU - Aung, Ye K.

AU - Evans, Christopher F.

AU - Dite, G.S.

AU - Stone, Jennifer

AU - MacInnis, Robert J.

AU - Dowty, James G.

AU - Bickerstaffe, Adrian

AU - Aujard, K.

AU - Rommens, Johanna M.

AU - Song, Yun-Mi

AU - Sung, Joohon

AU - Jenkins, Mark

AU - Southey, Melissa C.

AU - Giles, Graham G.

AU - Apicella, Carmel

AU - Hopper, John L.

PY - 2017

Y1 - 2017

U2 - 10.1093/ije/dyw212

DO - 10.1093/ije/dyw212

M3 - Article

C2 - 28338721

SN - 0300-5771

VL - 46

SP - 652

EP - 661

JO - International Journal of Epidemiology

JF - International Journal of Epidemiology

IS - 2

ER -