Longitudinal study of mammographic density measures that predict breast cancer risk

Por Krishnan, Kavitha, Baglietto, Laura, Stone, Jennifer, Simpson, Julie A, Severi, Gianluca, Evans, Christopher F, MacInnis, Robert J, Giles, Graham G, Apicella, Carmel, Hopper, John L
Publicado no Cancer Epidemiol Biomarkers Prev (2017)

Predicting interval and screen-detected breast cancers from mammographic density defined by different brightness thresholds

Por Nguyen, Tuong L., Aung, Ye K., Li, Shuai, Trinh, Nhut Ho, Evans, Christopher F., Baglietto, Laura, Krishnan, Kavitha, Dite, Gillian S., Stone, Jennifer, English, Dallas R., Song, Yun-Mi, Sung, Joohon, Jenkins, Mark A., Southey, Melissa C., Giles, Graham G., Hopper, John L.
Publicado no Breast Cancer Res (2018)

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

Por Nguyen, Tuong L, Aung, Ye K, Evans, Christopher F, Dite, Gillian S, Stone, Jennifer, MacInnis, Robert J, Dowty, James G, Bickerstaffe, Adrian, Aujard, Kelly, Rommens, Johanna M, Song, Yun-Mi, Sung, Joohon, Jenkins, Mark A, Southey, Melissa C, Giles, Graham G, Apicella, Carmel, Hopper, John L
Publicado no Int J Epidemiol (2017)

Interval breast cancer risk associations with breast density, family history and breast tissue aging

Por Nguyen, Tuong L., Li, Shuai, Dite, Gillian S., Aung, Ye K., Evans, Christopher F., Trinh, Ho N., Baglietto, Laura, Stone, Jennifer, Song, Yun‐Mi, Sung, Joohon, English, Dallas R., Jenkins, Mark A., Dugué, Pierre‐Antoine, Milne, Roger L., Southey, Melissa C., Giles, Graham G., Pike, Malcolm C., Hopper, John L.
Publicado no Int J Cancer (2019)