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    Can the breast screening appointment be used to provide risk assessment and prevention advice?

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    Authors
    Evans, D Gareth R
    Howell, Anthony
    Affiliation
    Univ Hosp South Manchester NHS Trust, Genesis Breast Canc Prevent Ctr, Manchester M23 9LT
    Issue Date
    2015
    
    Metadata
    Show full item record
    Abstract
    Breast cancer risk is continuing to increase across all societies with rates in countries with traditionally lower risks catching up with the higher rates in the Western world. Although cure rates from breast cancer have continued to improve such that absolute numbers of breast cancer deaths have dropped in many countries despite rising incidence, only some of this can be ascribed to screening with mammography, and debates over the true value of population-based screening continue. As such, enthusiasm for risk-stratified screening is gaining momentum. Guidelines in a number of countries already suggest more frequent screening in certain higher-risk (particularly, familial) groups, but this could be extended to assessing risks across the population. A number of studies have assessed breast cancer risk by using risk algorithms such as the Gail model, Tyrer-Cuzick, and BOADICEA (Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm), but the real questions are when and where such an assessment should take place. Emerging evidence from the PROCAS (Predicting Risk Of Cancer At Screening) study is showing not only that it is feasible to undertake risk assessment at the population screening appointment but that this assessment could allow reduction of screening in lower-risk groups in many countries to 3-yearly screening by using mammographic density-adjusted breast cancer risk.
    Citation
    Can the breast screening appointment be used to provide risk assessment and prevention advice? 2015, 17 (1):84 Breast Cancer Res
    Journal
    Breast Cancer Research
    URI
    http://hdl.handle.net/10541/565776
    DOI
    10.1186/s13058-015-0595-y
    PubMed ID
    26155950
    Type
    Article
    Language
    en
    ISSN
    1465-542X
    ae974a485f413a2113503eed53cd6c53
    10.1186/s13058-015-0595-y
    Scopus Count
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