Predictors of mammographic density: insights gained from a novel regression analysis of a twin study

Understanding which factors influence mammographically dense and non-dense areas is important because percent mammographic density (PMD) adjusted for age is a strong, continuously distributed risk factor for breast cancer, especially when adjusted for weight or body mass index. Using computer-assist...

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Main Authors: Dite, Gillian S., Gurrin, Lyle C., Byrnes, Graham B., Stone, Jennifer, Gunasekara, Anoma, McCredie, Margaret R.E., English, Dallas R., Giles, Graham G., Cawson, Jennifer, Hegele, Robert A., Chiarelli, Anna M., Yaffe, Martin J., Boyd, Norman F., Hopper, John L.
Formato: Artigo
Idioma:Inglês
Publicado: 2008
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Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC2677104/
https://ncbi.nlm.nih.gov/pubmed/19064564
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1158/1055-9965.EPI-07-2636
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