Sentence examples for mammographic density patterns from inspiring English sources
The first qualitative classification of mammographic density patterns was described by Wolfe in 1976 [ 1].
We also estimated prevalence odds ratios of having high-risk mammographic density patterns with 95% confidence intervals (CI) to express the degree of association between selected risk factors for breast cancer and the mammographic density patterns.
We calculated intra-reader and inter-reader agreement and estimated prevalence odds ratios of having high-risk mammographic density patterns according to selected risk factors for breast cancer.
Visual classification of mammographic density patterns, besides being quick and easy to perform, is a relatively inexpensive method to implement in breast cancer screening programs.
Our study is cross-sectional and does not have information on the temporal relationship between the risk factors examined and the mammographic density patterns.
In a recent article in BMC Cancer, Garrido-Estepa et.al. [ 8] compared four classification scales of risk categorizations for breast cancer based on mammographic density patterns from women included in the DDM-Spain study.
Different measures of mammographic images or density patterns [ 1- 5] have been used as surrogate endpoints for breast cancer in etiologic research [ 6- 9], in treatment [ 10- 13] and in prevention trials [ 14- 18].
Associations of leptin, total and free oestradiol and testosterone with percentage mammographic density showed similar patterns: before adjusting for BMI, there was a strong positive association with nondense area that was reflected in a strong inverse association with percent density, but no associations were observed with dense area.
Wolfe's classification is a visual assessment of mammographic density into four parenchymal patterns, N1, P1, P2 and DY, in increasing order of risk.
Total energy intake was included in the final model in order to assess if it attenuated the relationships between the dietary patterns and mammographic density (Model 2).
Reduced rank regression analysis, a relatively new approach to dietary pattern analysis, is being used to identify dietary patterns associated with mammographic density [ 4].
