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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.

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    Authors
    Brentnall, A
    Harkness, E
    Astley, S
    Donnelly, L
    Stavrinos, P
    Sampson, S
    Fox, L
    Sergeant, J
    Harvie, M
    Wilson, M
    Beetles, U
    Gadde, S
    Lim, Y
    Jain, A
    Bundred, S
    Barr, N
    Reece, V
    Howell, Anthony
    Cuzick, J
    Evans, D Gareth R
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    Affiliation
    Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Charterhouse Square, Barts and The London, Queen Mary University of London, London
    Issue Date
    2015
    
    Metadata
    Show full item record
    Abstract
    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 Assessment Tool) or the Tyrer-Cuzick model (International Breast Intervention Study model).
    Citation
    Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort. 2015, 17 (1):147 Breast Cancer Res
    Journal
    Breast Cancer Research
    URI
    http://hdl.handle.net/10541/592980
    DOI
    10.1186/s13058-015-0653-5
    PubMed ID
    26627479
    Type
    Article
    Language
    en
    ISSN
    1465-542X
    ae974a485f413a2113503eed53cd6c53
    10.1186/s13058-015-0653-5
    Scopus Count
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