Beyond BI-RADS Density: A Call for Quantification in the Breast Imaging Clinic
- PMID: 29356645
- PMCID: PMC5791934
- DOI: 10.1148/radiol.2017170644
Beyond BI-RADS Density: A Call for Quantification in the Breast Imaging Clinic
Abstract
Ultimately, the incorporation of automated quantitative measures of breast density will lead to more effective clinical care and more robust outcomes research than the current, subjective assignment of Breast Imaging and Reporting Data System density categories, by providing reproducible estimates of both the risk of masking a cancer as well as the risk of developing breast cancer—two important factors in determining personalized breast cancer screening algorithms.
References
-
- Harvey JA, Yaffe MJ, D’Orsi C, Sickles EA. Density and breast cancer risk. Radiology 2013;267(2):657–658. - PubMed
-
- Ng KH, Lau S. Vision 20/20: Mammographic breast density and its clinical applications. Med Phys 2015;42(12):7059–7077. - PubMed
-
- Kressin NR, Gunn CM, Battaglia TA. Content, readability, and understandability of dense breast notifications by state. JAMA 2016;315(16):1786–1788. - PubMed
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