Abstract P2-01-07: Analysis of the relationship between breast cancer risk-related gene polymorphisms, ESR1/6q25.1-rs2046210 and mammographic breast density

2013 ◽  
Author(s):  
T Nogami ◽  
N Taira ◽  
T Mizoo ◽  
K Nishiyama ◽  
T Iwamoto ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Breast Density ◽  
Gene Polymorphisms ◽  
Mammographic Breast Density ◽  
Related Gene ◽  
The Relationship

The relationship of breast density, BMI, and menopausal status in mammography and MRI.

2012 ◽  
Vol 30 (27_suppl) ◽  
pp. 36-36 ◽  
Author(s):  
Jennifer Chun ◽  
Ana Paula Refinetti ◽  
Ana Klautau Leite ◽  
Freya Ruth Schnabel ◽  
Tsivia Hochman ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Breast Density ◽  
Menopausal Status ◽  
Mammographic Breast Density ◽  
Strong Positive Correlation ◽  
Background Parenchymal Enhancement ◽  
Increased Risk ◽  
The Relationship

36 Background: Mammographic breast density (BD) is associated with a 4- to 6-fold increased risk for developing breast cancer. A previous study has shown that background parenchymal enhancement (BPE) as measured on MRI can be correlated with breast cancer risk. Being overweight or obese is also an established risk factor for breast cancer. The purpose of this study was to evaluate the relationship between BD, BPE, FGT (assessment of fibroglandular tissue with contiguous MR images), and BMI in pre- and post-menopausal women. Methods: The Breast Cancer Database at NYU Langone Medical Center was queried and a total of 187 women had completed both screening mammograms and MRIs. Variables of interest included BD, BPE, FGT, BMI, and menopausal status. BD was defined by ACR classifications 1-4. FGT was assessed on a similar scale 1-4. BPE was categorized as minimal, mild, moderate, or marked. BMI (kg/m2) was grouped as underweight (≤18), normal (19-24), overweight (25-29), and obese (≥30). Statistical analyses were performed using Spearman Correlation Coefficients and Cochran Mantel Haenszel tests. Results: The median age in our cohort was 51 years (range 22-87 years). The majority were Caucasian (71%) with early stage breast cancers (75%). There was no correlation between BD and BPE (r=0.132) and a weak correlation between BPE and FGT (r=0.312). However, there was a strong positive correlation between BD and FGT (r=0.733). After adjusting for menopausal status, these correlations remained the same. When we stratified by BMI, we found the strongest positive association between BD and FGT among women with BMI≥25 (r=0.715). Conclusions: In our cohort of newly diagnosed breast cancer patients, BD and BPE were not correlated, even after adjusting for menopausal status. This implies that BD and BPE may represent different characteristics of breast tissue and may have different implications. We found a strong correlation between FGT and BD. This association was strongest in women who were overweight and obese. FGT is a more objective and quantitative measurement of breast density and may be more useful in quantitative breast cancer risk assessment.Further studies are necessary to determine if BPE and FGT are independent risk factors for breast cancer.

Mammographic breast density, its changes, and breast cancer risk in premenopausal and postmenopausal women

Cancer ◽  
2020 ◽  
Vol 126 (21) ◽  
pp. 4687-4696
Author(s):  
Eun Young Kim ◽  
Yoosoo Chang ◽  
Jiin Ahn ◽  
Ji‐Sup Yun ◽  
Yong Lai Park ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Postmenopausal Women ◽  
Breast Density ◽  
Mammographic Breast Density

scholarly journals Review of: Are breast density and bone mineral density independent risk factors for breast cancer?

2005 ◽  
Vol 8 (11) ◽  
Author(s):  
J. L. Hopper
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Bone Mineral Density ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Correlation Coefficient ◽  
Breast Density ◽  
Mammographic Breast Density ◽  
Mineral Density ◽  
Increased Risk

Citation of original article:K. Kerlikowske, J. Shepherd, J. Creasman, J. A. Tice, E. Ziv, S. R. Cummings. Are breast density and bone mineral density independent risk factors for breast cancer. Journal of the National Cancer Institute 2005; 97(7): 368–74.Abstract of the original articleBackground: Mammographic breast density and bone mineral density (BMD) are markers of cumulative exposure to estrogen. Previous studies have suggested that women with high mammographic breast density or high BMD are at increased risk of breast cancer. We determined whether mammographic breast density and BMD of the hip and spine are correlated and independently associated with breast cancer risk. Methods: We conducted a cross-sectional study (N = 15 254) and a nested case-control study (of 208 women with breast cancer and 436 control subjects) among women aged 28 years or older who had a screening mammography examination and hip BMD measurement within 2 years. Breast density for 3105 of the women was classified using the American College of Radiology Breast Imaging Reporting and Data System (BI-RADS) categories, and percentage mammographic breast density among the case patients and control subjects was quantified with a computer-based threshold method. Spearman rank partial correlation coefficient and Pearson's correlation coefficient were used to examine correlations between BI-RADS breast density and BMD and between percentage mammographic breast density and BMD, respectively, in women without breast cancer. Logistic regression was used to examine the association of breast cancer with percentage mammographic breast density and BMD. All statistical tests were two-sided. Results: Neither BI-RADS breast density nor percentage breast density was correlated with hip or spine BMD (correlation coefficient = −.02 and −.01 for BI-RADS, respectively, and −2.06 and .01 for percentage breast density, respectively). Neither hip BMD nor spine BMD had a statistically significant relationship with breast cancer risk. Women with breast density in the highest sextile had an approximately threefold increased risk of breast cancer compared with women in the lowest sextile (odds ratio: 2.7; 95% confidence interval: 1.4–5.4); adjusting for hip or spine BMD did not change the association between breast density and breast cancer risk. Conclusion: Breast density is strongly associated with increased risk of breast cancer, even after taking into account reproductive and hormonal risk factors, whereas BMD, although a possible marker of lifetime exposure to estrogen, is not. Thus, a component of breast density that is independent of estrogen-mediated effects may contribute to breast cancer risk.

Determination of breast density by bioimpedance.

2012 ◽  
Vol 30 (27_suppl) ◽  
pp. 56-56
Author(s):  
Karina Bukhanov ◽  
Joel S. Ironstone ◽  
Cindy Basso ◽  
Tina Bilodeau
Keyword(s):  
Breast Cancer ◽  
Primary Care ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Correlation Coefficient ◽  
Breast Density ◽  
Pearson Correlation ◽  
Mammographic Breast Density ◽  
Pearson Correlation Coefficient ◽  
Dense Breasts

56 Background: Mammographic breast density is a significant risk factor for breast cancer. Women with extremely dense breasts are at 4-to-6 times the risk of developing breast cancer than women with primarily fatty breast tissue. Electrical Breast Densitometry (EBD) is a new technique that assesses breast density. EBD is non-ionizing, fast, has low cost per test ($20-$30) and may help in breast cancer risk assessment in the primary care setting. Methods: This study evaluated the feasibility of the EBD in an IRB-approved pilot study of 20 patients. The study used a custom-made self-adhesive electrode (SenoSENSE Medical Systems, Toronto, Canada) interfaced to an off-the-shelf impedance meter (Bodystat 1500, Bodystat, Isle of Man, UK) with a customized cable. On the same day as the subject’s scheduled mammogram, impedance measurements were acquired for each breast. Mammogram densities were scored by a trained radiologist using standard BiRADS breast density categories 1 to 4. Results: A high correlation coefficient was observed (Pearson correlation coefficient >0.80) between breast density determined by the EBD and the BiRADS breast density score. In addition a statistically significant difference was observed between dense categories (BiRADS 3,4) and fatty categories (BiRADS 1,2) (p<0.01), as well as between extremely dense breasts (BiRADS 4) and all other categories (p<0.01). Very high correlation (Pearson correlation coefficient >0.95) was observed between EBD measurements on the left and right breasts. Previous studies have reported a left/right correlation of 0.89 for blinded mammography readers. Conclusions: These results suggests that the EBD measure may be less variable than mammographic estimates of density. The results of the study suggest that Electrical Breast Densitometry is a promising technique for the assessment of breast density and the ability to aid in evaluation of breast cancer risk. It can be reasonably deployed at primary care facilities.

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