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GU estimated the amount of mammographic density.
Distributions of mammographic density phenotypes, stratified by study.
The analysis was restricted to this period to ensure consistency in the assessment of mammographic density.
The amount of mammographic density is a strong independent predictor of breast cancer risk [ 1, 2].
Finally, the observational study design precluded coordination of mammographic density with menstrual-cycle phase.
We therefore aimed to study the influence of mammographic density on prognosis.
Furthermore, cost-effectiveness of either imaging technique may vary across categories of mammographic density.
Examples of mammographic density of varying extents are shown in Figure 1.
aFactors included in the analysis of mammographic density and risk of second breast cancer.
The first qualitative classification of mammographic density patterns was described by Wolfe in 1976 [ 1].
GU designed the study and carried out estimation of mammographic density.
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