Literature DB >> 18385205

Invited commentary: assessing breast density change--lessons for future studies.

Celia Byrne1.   

Abstract

Breast density is one of the strongest predictors of breast cancer risk, and quantitative measurement is fairly reproducible. However, to study change in breast density, other issues should also be considered. Most studies of breast density have relied on one assessment, yet the mammographic features of the breast that constitute breast density change with age and/or menopause. When measuring breast density change, issues related to assessment are of greater concern. In addition, because age-period and cohort effects are codefined, evaluation of age trends must also consider the possible explanations of period and cohort effects. The prevalence of different factors affecting breast density changed dramatically over the last 50 years. In this issue of the Journal (Am J Epidemiol 2008;167:1027-1036), Kelemen et al. evaluate how factors known to be related to breast density influence breast density change with age. These authors are to be complimented on their detailed analysis and consideration of many of these issues. They not only describe the averaged effects of age on breast density changes but also consider whether patterns of density change differ for women with different exposure histories.

Entities:  

Mesh:

Year:  2008        PMID: 18385205     DOI: 10.1093/aje/kwn062

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  5 in total

1.  Mammographic density change with 1 year of aerobic exercise among postmenopausal women: a randomized controlled trial.

Authors:  Christy G Woolcott; Kerry S Courneya; Norman F Boyd; Martin J Yaffe; Tim Terry; Anne McTiernan; Rollin Brant; Rachel Ballard-Barbash; Melinda L Irwin; Charlotte A Jones; Sony Brar; Kristin L Campbell; Margaret L McNeely; Kristina H Karvinen; Christine M Friedenreich
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-03-23       Impact factor: 4.254

2.  Quantitative analysis of breast parenchymal patterns using 3D fibroglandular tissues segmented based on MRI.

Authors:  Ke Nie; Daniel Chang; Jeon-Hor Chen; Chieh-Chih Hsu; Orhan Nalcioglu; Min-Ying Su
Journal:  Med Phys       Date:  2010-01       Impact factor: 4.071

3.  Computational simulation of breast compression based on segmented breast and fibroglandular tissues on magnetic resonance images.

Authors:  Tzu-Ching Shih; Jeon-Hor Chen; Dongxu Liu; Ke Nie; Lizhi Sun; Muqing Lin; Daniel Chang; Orhan Nalcioglu; Min-Ying Su
Journal:  Phys Med Biol       Date:  2010-07-05       Impact factor: 3.609

4.  Short-term hormone therapy suspension and mammography recall: a randomized trial.

Authors:  Diana S M Buist; Melissa L Anderson; Susan D Reed; Erin J Aiello Bowles; E Dawn Fitzgibbons; Juleann C Gandara; Deborah Seger; Katherine M Newton
Journal:  Ann Intern Med       Date:  2009-06-02       Impact factor: 25.391

5.  Identification of a novel Calotropis procera protein that can suppress tumor growth in breast cancer through the suppression of NF-κB pathway.

Authors:  Ramar Perumal Samy; Peramaiyan Rajendran; Feng Li; Narayana Moorthy Anandi; Bradley G Stiles; Savarimuthu Ignacimuthu; Gautam Sethi; Vincent T K Chow
Journal:  PLoS One       Date:  2012-12-20       Impact factor: 3.240

  5 in total

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