Mammographic density defined by higher than conventional brightness thresholds better predicts breast cancer risk
Tuong L Nguyen, Ye K Aung, Christopher F Evans, Gillian S Dite, Jennifer Stone, Robert J MacInnis, James G Dowty, Adrian Bickerstaffe, Kelly Aujard, Johanna M Rommens, Yun-Mi Song, Joohon Sung, Mark A Jenkins, Melissa C Southey, Graham G Giles, Carmel Apicella, John L Hopper
International Journal of Epidemiology | OXFORD UNIV PRESS | Published : 2017
Awarded by National Cancer Institute
Awarded by National Institutes of Health
Awarded by Canadian Breast Cancer Research Alliance
This research was supported by the National Health and Medical Research Council (NHMRC), the Victorian Health Promotion Foundation, Cancer Council Victoria, Cancer Council NSW, Cancer Australia and the National Breast Cancer Foundation. It has also been supported by the Breast Cancer Network Australia, and Register4 and its members. The ABCFR was also supported by grant UM1 CA164920 from the National Cancer Institute. The content of this manuscript does not necessarily reflect the views or policies of the National Cancer Institute or any of the collaborating centres in the Breast Cancer Family Registry (BCFR), nor does mention of trade names, commercial products or organizations imply endorsement by the US Government or the BCFR. The work was also supported by the National Institutes of Health (CA102659) and Canadian Breast Cancer Research Alliance (016442). T.L.N. has been supported by an NHMRC Post-Graduate Scholarship and the Richard Lowell Travelling Scholarship, the University of Melbourne. Y.K.A. has been supported by the Australian Agency for International Development (AusAID). J.S. has been supported by the National Breast Cancer Foundation Post-Doctoral Training Fellowship. J.L.H. is an NHMRC Senior Principal Research Fellow and a Distinguished Visiting Professor at Seoul National University. M.C.S. and M.A.J. are NHMRC Senior Research Fellows.