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Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort

INTRODUCTION: The Predicting Risk of Cancer at Screening study in Manchester, UK, is a prospective study of breast cancer risk estimation. It was designed to assess whether mammographic density may help in refinement of breast cancer risk estimation using either the Gail model (Breast Cancer Risk As...

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書誌詳細
出版年:Breast Cancer Res
主要な著者: Brentnall, Adam R., Harkness, Elaine F., Astley, Susan M., Donnelly, Louise S., Stavrinos, Paula, Sampson, Sarah, Fox, Lynne, Sergeant, Jamie C., Harvie, Michelle N., Wilson, Mary, Beetles, Ursula, Gadde, Soujanya, Lim, Yit, Jain, Anil, Bundred, Sara, Barr, Nicola, Reece, Valerie, Howell, Anthony, Cuzick, Jack, Evans, D. Gareth R.
フォーマット: Artigo
言語:Inglês
出版事項: BioMed Central 2015
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4665886/
https://ncbi.nlm.nih.gov/pubmed/26627479
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13058-015-0653-5
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