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1.  Correlation of endogenous hormonal levels, fibroglandular tissue volume and percent density measured using 3D MRI during one menstrual cycle 
Annals of Oncology  2013;24(9):2329-2335.
We measured breast density (BD) on MRI and correlated with endogenous hormonal levels.
Patients and methods
Twenty-four premenopausal women received four weekly breast MRI. A blood sample was collected on the same day of MRI. BD was measured using a computer-based algorithm. The generalized estimation equation method was applied to model mean fibroglandular tissue volume (FV) and mean percent density (PD) from predictor variables including estradiol, progesterone, and week during a cycle.
In week 3, a borderline significant correlation between estradiol and PD (r = 0.43, P = 0.04), estradiol and FV (r = 0.40, P = 0.05) and between progesterone and FV (r = 0.42, P = 0.04) was noted. The FV and PD measured in weeks 4 and 1 were higher than in weeks 2 and 3, adjusted for variation in endogenous estradiol and progesterone, indicating that the hormone change could not account for the changes in density. No lag effect of endogenous hormone on the change of FV or PD was noted (all P-values > 0.05).
Our results showed that BD is not strongly associated with the endogenous hormone. Their association with breast cancer risk was likely coming from different mechanisms, and they should be considered as independent risk factors.
PMCID: PMC3755325  PMID: 23661294
breast density; endogenous hormone; fibroglandular tissue volume; lag effect; MRI; percent density
2.  Consistency of breast density measured from the same women using different MR scanners 
Annals of Oncology  2011;22(12):2693-2694.
PMCID: PMC3221515  PMID: 22015449
3.  Clinical Characteristics and Biomarkers of Breast Cancer Associated with Choline Concentration Measured by 1H MR Spectroscopy 
NMR in biomedicine  2010;24(3):316-324.
This study was to investigate the association between tCho and the clinical characteristics and biomarker status of breast cancer. Sixty-two patients with breast cancer which was 1.5 cm or larger in size on MR images were studied. The tCho concentration was correlated with the MR imaging features, the contrast enhancement kinetics, clinical variables, and biomarkers. Pair-wise two-tailed Spearman’s non-parametric test was used for the statistical analysis. The tCho was higher in high grade than moderate/low grade tumor (p=0.04) and in tumors with higher Ktrans and kep (p<0.001 for both). The association of tCho with age (p=0.05) and triple negative biomarker (p=0.09) approached significance. tCho was not detected in 17 patients, including 15 invasive ductal cancer and 2 infiltrating lobular cancer. Fifteen of the 17 patients had moderate to low grade cancers, and 11 had HER-2 negative cancer, suggesting these two factors might lead to false negative choline. Higher tCho in high grade tumors and tumors with higher Ktrans and kep indicates choline is associated with cell proliferation and tumor angiogenesis. Higher choline level in younger women may be due to their more aggressive tumor type. The results presented here may aid in better interpretation of 1H MRS for diagnosis of breast lesions.
PMCID: PMC3075960  PMID: 20862660

Results 1-12 (12)