Literature DB >> 24615497

Mammographic density-a review on the current understanding of its association with breast cancer.

C W Huo1, G L Chew, K L Britt, W V Ingman, M A Henderson, J L Hopper, E W Thompson.   

Abstract

There has been considerable recent interest in the genetic, biological and epidemiological basis of mammographic density (MD), and the search for causative links between MD and breast cancer (BC) risk. This report will critically review the current literature on MD and summarize the current evidence for its association with BC. Keywords 'mammographic dens*', 'dense mammary tissue' or 'percent dens*' were used to search the existing literature in English on PubMed and Medline. All reports were critically analyzed. The data were assigned to one of the following aspects of MD: general association with BC, its relationship with the breast hormonal milieu, the cellular basis of MD, the generic variations of MD, and its significance in the clinical setting. MD adjusted for age, and BMI is associated with increased risk of BC diagnosis, advanced tumour stage at diagnosis and increased risk of both local recurrence and second primary cancers. The MD measures that predict BC risk have high heritability, and to date several genetic markers associated with BC risk have been found to also be associated with these MD risk predictors. Change in MD could be a predictor of the extent of chemoprevention with tamoxifen. Although the biological and genetic pathways that determine and perhaps modulate MD remain largely unresolved, significant inroads are being made into the understanding of MD, which may lead to benefits in clinical screening, assessment and treatment strategies. This review provides a timely update on the current understanding of MD's association with BC risk.

Entities:  

Mesh:

Year:  2014        PMID: 24615497     DOI: 10.1007/s10549-014-2901-2

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  77 in total

1.  Prognostic significance of mammographic density change after initiation of tamoxifen for ER-positive breast cancer.

Authors:  Sarah J Nyante; Mark E Sherman; Ruth M Pfeiffer; Amy Berrington de Gonzalez; Louise A Brinton; Erin J Aiello Bowles; Robert N Hoover; Andrew Glass; Gretchen L Gierach
Journal:  J Natl Cancer Inst       Date:  2015-02-06       Impact factor: 13.506

Review 2.  A review of the influence of mammographic density on breast cancer clinical and pathological phenotype.

Authors:  Michael S Shawky; Cecilia W Huo; Kara Britt; Erik W Thompson; Michael A Henderson; Andrew Redfern
Journal:  Breast Cancer Res Treat       Date:  2019-06-08       Impact factor: 4.872

3.  Prediction of reader estimates of mammographic density using convolutional neural networks.

Authors:  Georgia V Ionescu; Martin Fergie; Michael Berks; Elaine F Harkness; Johan Hulleman; Adam R Brentnall; Jack Cuzick; D Gareth Evans; Susan M Astley
Journal:  J Med Imaging (Bellingham)       Date:  2019-01-31

4.  A one-dimensional individual-based mechanical model of cell movement in heterogeneous tissues and its coarse-grained approximation.

Authors:  R J Murphy; P R Buenzli; R E Baker; M J Simpson
Journal:  Proc Math Phys Eng Sci       Date:  2019-07-24       Impact factor: 2.704

5.  Dense breast tissue in postmenopausal women is associated with a pro-inflammatory microenvironment in vivo.

Authors:  Annelie Abrahamsson; Anna Rzepecka; Thobias Romu; Magnus Borga; Olof Dahlqvist Leinhard; Peter Lundberg; Johan Kihlberg; Charlotta Dabrosin
Journal:  Oncoimmunology       Date:  2016-09-02       Impact factor: 8.110

6.  "You probably can't feel as safe as normal women": Hispanic women's reactions to breast density notification.

Authors:  Alsacia L Pacsi-Sepulveda; Rachel C Shelton; Carmen B Rodriguez; Arielle T Coq; Parisa Tehranifar
Journal:  Cancer       Date:  2019-02-15       Impact factor: 6.860

Review 7.  Review of quantitative multiscale imaging of breast cancer.

Authors:  Michael A Pinkert; Lonie R Salkowski; Patricia J Keely; Timothy J Hall; Walter F Block; Kevin W Eliceiri
Journal:  J Med Imaging (Bellingham)       Date:  2018-01-22

8.  Using Speed of Sound Imaging to Characterize Breast Density.

Authors:  Mark Sak; Neb Duric; Peter Littrup; Lisa Bey-Knight; Haythem Ali; Patricia Vallieres; Mark E Sherman; Gretchen L Gierach
Journal:  Ultrasound Med Biol       Date:  2016-09-29       Impact factor: 2.998

Review 9.  ALS biomarkers for therapy development: State of the field and future directions.

Authors:  Michael Benatar; Kevin Boylan; Andreas Jeromin; Seward B Rutkove; James Berry; Nazem Atassi; Lucie Bruijn
Journal:  Muscle Nerve       Date:  2015-12-29       Impact factor: 3.217

10.  An Investigation into the Consistency in Mammographic Density Identification by Radiologists: Effect of Radiologist Expertise and Mammographic Appearance.

Authors:  Yanpeng Li; Patrick C Brennan; Warwick Lee; Carolyn Nickson; Mariusz W Pietrzyk; Elaine A Ryan
Journal:  J Digit Imaging       Date:  2015-10       Impact factor: 4.056

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