Mammographic density, breast cancer risk and risk prediction View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2007-12

AUTHORS

Celine M Vachon, Carla H van Gils, Thomas A Sellers, Karthik Ghosh, Sandhya Pruthi, Kathleen R Brandt, V Shane Pankratz

ABSTRACT

In this review, we examine the evidence for mammographic density as an independent risk factor for breast cancer, describe the risk prediction models that have incorporated density, and discuss the current and future implications of using mammographic density in clinical practice. Mammographic density is a consistent and strong risk factor for breast cancer in several populations and across age at mammogram. Recently, this risk factor has been added to existing breast cancer risk prediction models, increasing the discriminatory accuracy with its inclusion, albeit slightly. With validation, these models may replace the existing Gail model for clinical risk assessment. However, absolute risk estimates resulting from these improved models are still limited in their ability to characterize an individual's probability of developing cancer. Promising new measures of mammographic density, including volumetric density, which can be standardized using full-field digital mammography, will likely result in a stronger risk factor and improve accuracy of risk prediction models. More... »

PAGES

217

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/bcr1829

DOI

http://dx.doi.org/10.1186/bcr1829

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1020053537

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/18190724


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