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1 ere length and MDA in their association with mammographic density.
2 and breast cancer risk among women with low mammographic density.
3 ng carotenoids are inversely associated with mammographic density.
4 last four factors were associated with lower mammographic density.
5 women in the United Kingdom are reflected in mammographic density.
6 a reasonable intervention approach to reduce mammographic density.
7 vely associated (free estradiol) with higher mammographic density.
8 atistically significantly related to greater mammographic density.
9 orresponds to the collagen component at high mammographic density.
10 breast cancer risk is not fully explained by mammographic density.
11 he SNP most strongly associated with percent mammographic density.
12 associated with both breast cancer risk and mammographic density.
13 d by highest and lowest quartiles of percent mammographic density.
14 signaling has been associated with increased mammographic density.
15 .27 to 0.93) compared with women with stable mammographic density.
16 be partially due to negative confounding by mammographic density.
17 st cancer risk remained after adjustment for mammographic density.
18 n inverse association between involution and mammographic density.
19 er through a mechanism that includes reduced mammographic density.
20 otect against breast cancer is by decreasing mammographic density.
21 cer risk, particularly among women with high mammographic density.
22 isted thresholding method to measure percent mammographic density.
23 carotenoids and breast cancer risk varies by mammographic density.
24 breast cancer risk through its influence on mammographic density.
25 association between AR-CAG repeat length and mammographic density, a strong breast cancer risk factor
26 as tailored to lifetime risk (Gail test) and mammographic density (according to Breast Imaging Report
30 Previous studies have linked reductions in mammographic density after a breast cancer diagnosis to
33 r evidence of a shared genetic basis between mammographic density and breast cancer and illustrate th
34 authors investigated the association between mammographic density and breast cancer risk among women
35 uate the strength of the association between mammographic density and breast cancer risk using differ
36 To maximize statistical power in studies of mammographic density and breast cancer, it is advantageo
37 ations of plasma leptin and adiponectin with mammographic density and disease status and assessed the
38 onectin levels were directly associated with mammographic density and HDL cholesterol and negatively
39 ons of the breast images to characterize the mammographic density and heterogeneity of dense portions
42 e genome-wide association studies of percent mammographic density and report an association with rs10
49 e results provide new insights into how high mammographic density arises and why it is associated wit
50 le predictors of breast cancer risk, but few mammographic density-associated genetic variants have be
51 ingdom population-based multiethnic study of mammographic density at ages 50-64 years in 645 women.
53 ated with a weaker annual decline in percent mammographic density by 0.09% (standard error = 0.03; P
57 dy of the magnitude and meaning of increased mammographic density due to use of estrogen and estrogen
59 Interval breast cancers in women with low mammographic density have the most aggressive phenotype.
60 larly, among women in the highest tertile of mammographic density, high levels of circulating alpha-c
63 hysical activity, body mass index (BMI), and mammographic density in a racially/ethnically diverse po
65 conjugated equine estrogens (CEEs) alone on mammographic density in diverse racial/ethnic population
66 st prominent difference between low and high mammographic density in healthy breast tissue by PARADIG
78 investigated whether the level of decline in mammographic density is related to breast cancer risk us
80 and estrogen-progestins is warranted because mammographic density may be a marker for risk for breast
82 ted 10-year breast cancer risk score (TCRS), mammographic density (MD), and a 77-single nucleotide po
85 n may be an important genetic determinant of mammographic density measure that predicts breast cancer
93 = 0.36) became positive after adjustment for mammographic density (odds ratio = 1.28, 95% confidence
95 omere length was not associated with percent mammographic density or dense area, before or after adju
96 (Beta coefficients express the increment in mammographic density per-unit increment (pg/ml) of each
97 ome-wide association studies (GWAS) of three mammographic density phenotypes: dense area, non-dense a
99 somatotype at age 18, benign breast disease, mammographic density, polygenic risk score, family histo
102 study suggests that absolute but not percent mammographic density reflects the lower breast cancer in
106 spective data from the Early Determinants of Mammographic Density Study (n = 1,108; 1959-2008), we ex
107 st but statistically significant increase in mammographic density that is sustained over at least a 2
108 ciations between endogenous sex steroids and mammographic density, the authors conducted a 1998-2005
110 udy, we show that epithelial cells from high mammographic density tissues have more DNA damage signal
114 ome-wide association study (GWAS) of percent mammographic density to identify novel genetic loci asso
118 igher for the CT density grades than for the mammographic density types, with 0.79 (95% confidence in
119 tative descriptors for the physical finding, mammographic density, US characteristics in the area of
120 0, a single reader reassessed all images for mammographic density using Cumulus software (Sunnybrook
121 .6 years, the mean annual decline in percent mammographic density was 1.1% (standard deviation = 0.1)
129 uctive factors, and family history, absolute mammographic density was statistically significantly low
131 At 12 months, the odds of an increase in mammographic density were 13.1 (95% CI, 2.4 to 73.3) wit
132 s central), amount of FGT at MR imaging, and mammographic density were assessed on index images.
133 We examined whether age-related changes in mammographic density were different for 533 cases and 1,
134 ed breast cancer after adjusting for age and mammographic density were family history of breast cance
135 BPE pattern, MR imaging amount of FGT, and mammographic density were not significantly different be
136 val breast cancers in dense breasts (> 40.9% mammographic density) were less aggressive than interval
137 breast cancers in nondense breasts (</= 20% mammographic density) were significantly more likely to
138 changes have been associated with decreased mammographic density, which itself is strongly associate
139 tive would have a greater decline in percent mammographic density with age, compared with less physic
140 se results and to examine the association of mammographic density with age-related chronic disease an
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