Literature DB >> 14713971

[Mammographic density as indicator of breast cancer risk].

Giske Ursin1.   

Abstract

BACKGROUND: Mammograms are useful in identifying early breast cancers before they become palpable, but they can also give us information about mammographic density, a strong risk factor for breast cancer. Mammographic density has been suggested as a biomarker for breast cancer risk and is currently being used as a surrogate endpoint for breast cancer in several cancer prevention trials.
MATERIAL AND METHODS: This article summarises the rationale for using mammographic density as a surrogate endpoint for breast cancer, with an emphasis on the results that have been published over the last decade.
RESULTS: Mammographic density not only represents a strong risk factor for breast cancer, it is also modifiable. Mammograms are non-invasive and mammographic density is readily assessed using computer-assisted methods.
INTERPRETATION: The ultimate question that remains to be answered is whether a change in mammographic density translates to a change in breast cancer risk. This question could easily be addressed in the Norwegian Breast Cancer Screening Programme if participants were asked the necessary questions when attending the screening programme.

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Year:  2003        PMID: 14713971

Source DB:  PubMed          Journal:  Tidsskr Nor Laegeforen        ISSN: 0029-2001


  3 in total

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Authors:  John A Shepherd; Karla Kerlikowske; Lin Ma; Frederick Duewer; Bo Fan; Jeff Wang; Serghei Malkov; Eric Vittinghoff; Steven R Cummings
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2011-05-24       Impact factor: 4.254

2.  Mechanical phenotype is important for stromal aromatase expression.

Authors:  Sagar Ghosh; Tao Kang; Howard Wang; Yanfen Hu; Rong Li
Journal:  Steroids       Date:  2011-03-04       Impact factor: 2.668

3.  Mammographic density defined by higher than conventional brightness thresholds better predicts breast cancer risk.

Authors:  Tuong L Nguyen; Ye K Aung; Christopher F Evans; Gillian S Dite; Jennifer Stone; Robert J MacInnis; James G Dowty; Adrian Bickerstaffe; Kelly Aujard; Johanna M Rommens; Yun-Mi Song; Joohon Sung; Mark A Jenkins; Melissa C Southey; Graham G Giles; Carmel Apicella; John L Hopper
Journal:  Int J Epidemiol       Date:  2017-04-01       Impact factor: 7.196

  3 in total

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