Mammographic density defined by higher than conventional brightness threshold better predicts breast cancer risk for full-field digital mammograms-Reference-Cited by-同舟云学术

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Mammographic density defined by higher than conventional brightness threshold better predicts breast cancer risk for full-field digital mammograms

Published:2015-11-18 Issue:1 Volume:17 Page:
ISSN:1465-542X
Container-title:Breast Cancer Research
language:en
Short-container-title:Breast Cancer Res

Author:

Nguyen Tuong Linh,Aung Ye Kyaw,Evans Christopher Francis,Yoon-Ho Choi,Jenkins Mark Anthony,Sung Joohon,Hopper John Llewelyn,Song Yun-Mi

Funder

National Health and Medical Research Council (AU)

Melbourne Research, University of Melbourne (AU)

Australian Agency for International Development (AU)

National Research Foundation of Korea (KR)

Ministry of Education, Science and Technology (KR)

Publisher

Springer Science and Business Media LLC

Link

http://link.springer.com/content/pdf/10.1186/s13058-015-0654-4.pdf

Reference27 articles.

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2. Kohler BA, Sherman RL, Howlader N, Jemal A, Ryerson AB, Henry KA, et al. Annual report to the nation on the status of cancer, 1975-2011, featuring incidence of breast cancer subtypes by race/ethnicity, poverty, and state. J Natl Cancer Inst. 2015;107:djv048.

3. Park SK, Kang D, Kim Y, Yoo KY. Epidemiologic characteristics of the breast cancer in Korea. J Korean Med Assoc. 2009;52:937–45.

4. Sung H, Rosenberg PS, Chen WQ, Hartman M, Lim WY, Chia KS, et al. Female breast cancer incidence among Asian and Western populations: more similar than expected. J Natl Cancer Inst. 2015;107. doi: 10.1093/jnci/djv107 .

5. Boyd NF, Rommens JM, Vogt K, Lee V, Hopper JL, Yaffe MJ, et al. Mammographic breast density as an intermediate phenotype for breast cancer. Lancet Oncol. 2005;6:798–808.

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