Clinical and epidemiological issues in mammographic density View Full Text


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Article Info

DATE

2011-12-06

AUTHORS

Valentina Assi, Jane Warwick, Jack Cuzick, Stephen W. Duffy

ABSTRACT

Although breast density is a powerful factor for predicting the risk of developing breast cancer, unfortunately current methods of measuring mammographic density are not entirely satisfactory. This Review analyzes the different factors affecting breast density and how to consider them so that the accuracy of individual risk assessments can be improved. More... »

PAGES

33-40

References to SciGraph publications

  • 2001-02. Effects of mammographic density and benign breast disease on breast cancer risk (United States) in CANCER CAUSES & CONTROL
  • 2009-09-02. Breast cancer detection using automated whole breast ultrasound and mammography in radiographically dense breasts in EUROPEAN RADIOLOGY
  • 2005-11. Mammographic Breast Density and the Gail Model for Breast Cancer Risk Prediction in a Screening Population in BREAST CANCER RESEARCH AND TREATMENT
  • 2009-12-06. A randomized, placebo-controlled trial (NCIC CTG MAP1) examining the effects of letrozole on mammographic breast density and other end organs in postmenopausal women in BREAST CANCER RESEARCH AND TREATMENT
  • 2008-09-05. Can genes for mammographic density inform cancer aetiology? in NATURE REVIEWS CANCER
  • 1993-01. The calculation of breast cancer risk for women with a first degree family history of ovarian cancer in BREAST CANCER RESEARCH AND TREATMENT
  • 2011-01-18. Mammographic density and its interaction with other breast cancer risk factors in an Asian population in BRITISH JOURNAL OF CANCER
  • 2008-07-23. Visually assessed breast density, breast cancer risk and the importance of the craniocaudal view in BREAST CANCER RESEARCH
  • 2010-11-18. Using mammographic density to predict breast cancer risk: dense area or percentage dense area in BREAST CANCER RESEARCH
  • 2008-06-19. Mammographic density. Measurement of mammographic density in BREAST CANCER RESEARCH
  • 1998-06. Mammographic breast density and risk of breast cancer: Masking bias or causality? in EUROPEAN JOURNAL OF EPIDEMIOLOGY
  • 2005-06-08. Greatly increased occurrence of breast cancers in areas of mammographically dense tissue in BREAST CANCER RESEARCH
  • 2007-12-18. Breast cancer risk factors and a novel measure of volumetric breast density: cross-sectional study in BRITISH JOURNAL OF CANCER
  • 2002-10-07. The association of breast mitogens with mammographic densities in BRITISH JOURNAL OF CANCER
  • 2007-07-07. Reproducibility of visual assessment on mammographic density in BREAST CANCER RESEARCH AND TREATMENT
  • 2000-07. Association of mammographically defined percent breast density with epidemiologic risk factors for breast cancer (United States) in CANCER CAUSES & CONTROL
  • 2009-06-22. Sex steroids, growth factors and mammographic density: a cross-sectional study of UK postmenopausal Caucasian and Afro-Caribbean women in BREAST CANCER RESEARCH
  • 2008-12-18. Assessing risk for breast cancer in BREAST CANCER RESEARCH
  • <error retrieving object. in <ERROR RETRIEVING OBJECT
  • 2011-01-30. Common variants in ZNF365 are associated with both mammographic density and breast cancer risk in NATURE GENETICS
  • 2007-12-20. Mammographic density, breast cancer risk and risk prediction in BREAST CANCER RESEARCH
  • 2011-08-02. Hormone replacement therapy and the risk of breast cancer in NATURE REVIEWS CLINICAL ONCOLOGY
  • 2006. A New Step-Wedge for the Volumetric Measurement of Mammographic Density in DIGITAL MAMMOGRAPHY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nrclinonc.2011.173

    DOI

    http://dx.doi.org/10.1038/nrclinonc.2011.173

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1005052979

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/22143145


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