scholarly journals Benign breast disease and changes in mammographic breast density

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Laura L. Reimers ◽  
Mandy Goldberg ◽  
Parisa Tehranifar ◽  
Karin B. Michels ◽  
Barbara A. Cohn ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Density ◽  
Benign Breast Disease ◽  
Breast Disease ◽  
Mammographic Breast Density ◽  
Computer Assisted ◽  
First Birth ◽  
Dense Area ◽  
Nulliparous Women ◽  
Using Data

Abstract Background Mammographic breast density (MBD) and benign breast disease (BBD) are two of the strongest risk factors for breast cancer. Understanding trends in MBD by age and parity in women with BBD is essential to the clinical management and prevention of breast cancer. Methods Using data from the Early Determinants of Mammographic Density (EDMD) study, a prospective follow-up study of women born in 1959–1967, we evaluated MBD in 676 women. We used linear regression with generalized estimating equations to examine associations between self-reported BBD and MBD (percent density, dense area, and non-dense area), assessed through a computer-assisted method. Results A prior BBD diagnosis (median age at diagnosis 32 years) was reported by 18% of our cohort. The median time from BBD diagnosis to first available study mammogram was 9.4 years (range 1.1–27.6 years). Women with BBD had a 3.44% higher percent MBD (standard error (SE) = 1.56, p-value = 0.03) on their first available mammogram than women without BBD. Compared with parous women without BBD, nulliparous women with BBD and women with a BBD diagnosis prior to first birth had 7–8% higher percent MBD (β = 7.25, SE = 2.43, p-value< 0.01 and β = 7.84, SE = 2.98, p-value = 0.01, respectively), while there was no difference in MBD in women with a BBD diagnosis after the first birth (β = −0.22, SE = 2.40, p-value = 0.93). Conclusion Women with self-reported BBD had higher mammographic breast density than women without BBD; the association was limited to women with BBD diagnosed before their first birth.

scholarly journals Benign Breast Disease, Mammographic Breast Density, and the Risk of Breast Cancer

2013 ◽  
Vol 105 (14) ◽  
pp. 1043-1049 ◽  
Author(s):  
Jeffrey A. Tice ◽  
Ellen S. O’Meara ◽  
Donald L. Weaver ◽  
Celine Vachon ◽  
Rachel Ballard-Barbash ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Density ◽  
Benign Breast Disease ◽  
Breast Disease ◽  
Mammographic Breast Density

Effect of the third generation selective estrogen receptor modulator arzoxifene on mammographic breast density

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 562-562
Author(s):  
B. F. Kimler ◽  
G. Ursin ◽  
C. J. Fabian ◽  
J. R. Anderson ◽  
C. Chamberlain ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Estrogen Receptor ◽  
High Risk ◽  
Phase Ii ◽  
Breast Density ◽  
Receptor Expression ◽  
Mammographic Breast Density ◽  
Computer Assisted ◽  
Breast Cancer Patients ◽  
Dense Area

562 Background: Arzoxifene (ARZ) is currently being studied for treatment of breast cancer patients in a Phase II trial because of tamoxifen-like efficacy but lack of uterine agonist effect. We conducted a Phase II chemoprevention trial in women at high risk for development of breast cancer on the basis of personal or family history. Methods: Potential subjects had multiple biomarkers assessed, including random periareolar fine needle aspiration (RPFNA) with breast epithelial cells processed for cytomorphology and immunocytochemistry. Women who exhibited cytologic hyperplasia ± atypia were eligible for enrollment. Subjects were stratified on the basis of atypia, estrogen receptor expression, menopause status, germline BrCa1/2 mutation status, and accrual site. Subjects were randomized (double-blind) between placebo and ARZ (LY353381.HCI, 20 mg daily) for 6 mo, with an option to continue on study for another 6 mo while receiving open-label ARZ. Assessments conducted at baseline, 6 mo, and 12 mo included mammographic breast density. Mammograms were digitized to image files which were cropped to remove labels and dates, and then identified by a study subject ID number and a random coding for baseline, 6 or 12 mo. This allowed the reader (GU) to view the three files for a subject, but to remain blinded as to the sequence of the films or the study agent. The files were assessed for mammographic density using the Madena computer-assisted system. Results: Of 199 subjects enrolled on the study, 52% were pre-menopausal; with 101 women randomized to placebo and 98 to ARZ. At baseline, mean values were comparable for placebo and ARZ groups for breast area (∼244 cm2), total dense area (∼100 cm2), and the percent of the breast at increased density (41.3% vs 46.2%). After 6 mo, there were minimal changes in total breast area (P=0.13); but statistically significant decreases (P<0.001) for the comparison of placebo vs ARZ (2-sided T-test) for change in both dense area (+3.8 vs −12.9 cm2) and percent breast density (+0.8% vs −4.6%). Conclusions: The 3rd generation SERM arzoxifene administered for 6 mo produces statistically significant decreases in mammographic breast density relative to placebo in women at high risk for development of breast cancer. No significant financial relationships to disclose.

scholarly journals Tumour Size at Detection According to Different Measures of Mammographic Breast Density

2009 ◽  
Vol 16 (3) ◽  
pp. 140-146 ◽  
Author(s):  
Carolyn Nickson ◽  
Anne M Kavanagh
Keyword(s):  
Breast Cancer ◽  
Breast Density ◽  
Tumour Size ◽  
Mammographic Screening ◽  
Cancer Prognosis ◽  
Mammographic Breast Density ◽  
Interval Cancers ◽  
Dense Area ◽  
Screening Strategies ◽  
Continuous Measures

Objectives Breast cancer prognosis is better for smaller tumours. Women with high breast density are at higher risk of breast cancer and have larger screen-detected and interval cancers in mammographic screening programmes. We assess which continuous measures of breast density are the strongest predictors of breast tumour size at detection and therefore the best measures to identify women who might benefit from more intensive mammographic screening or alternative screening strategies. Setting and methods We compared the association between breast density and tumour size for 1007 screen-detected and 341 interval cancers diagnosed in an Australian mammographic screening programme between 1994 and 1996, for three semi-automated continuous measures of breast density: per cent density, dense area and dense area adjusted for non-dense area. Results After adjustment for age, hormone therapy use, family history of breast cancer and mode of detection (screen-detected or interval cancers), all measures of breast density shared a similar positive and significant association with tumour size. For example, tumours increased in size with dense area from an estimated mean 2.2 mm larger in the second quintile (β = 2.2; 95% Cl 0.4–3.9, P < 0.001) to mean 6.6 mm larger in the highest decile of dense area (β = 6.6; 95% Cl 4.4–8.9, P < 0.001), when compared with first quintile of breast density. Conclusions Of the breast density measures assessed, either dense area or per cent density are suitable measures for identifying women who might benefit from more intensive mammographic screening or alternative screening strategies.

scholarly journals Mammographic Breast Density and Breast Cancer Molecular Subtypes: The Kenyan-African Aspect

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Asim Jamal Shaikh ◽  
Maeve Mullooly ◽  
Shahin Sayed ◽  
Rose Ndumia ◽  
Innocent Abayo ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Density ◽  
Cross Sectional Study ◽  
Sub Saharan Africa ◽  
Analysis Of Covariance ◽  
Mammographic Breast Density ◽  
Breast Cancers ◽  
Obese Women ◽  
Dense Area ◽  
Cross Sectional

Introduction. Data examining mammographic breast density (MBD) among patients in Sub-Saharan Africa are sparse. We evaluated how MBD relates to breast cancer characteristics in Kenyan women undergoing diagnostic mammography. Methods. This cross-sectional study included women with pathologically confirmed breast cancers (n=123). Pretreatment mammograms of the unaffected breast were assessed to estimate absolute dense area (cm2), nondense area (cm2), and percent density (PD). Relationships between density measurements and clinical characteristics were evaluated using analysis of covariance. Results. Median PD and dense area were 24.9% and 85.3 cm2. Higher PD and dense area were observed in younger women (P<0.01). Higher dense and nondense areas were observed in obese women (P-trend < 0.01). Estrogen receptor (ER) positive patients (73%) had higher PD and dense area than ER-negative patients (P≤0.02). Triple negative breast cancer (TNBC) patients (17%) had lower PD and dense area (P≤0.01) compared with non-TNBCs. No associations were observed between MBD and tumor size and grade. Conclusions. Our findings show discordant relationships between MBD and molecular tumor subtypes to those previously observed in Western populations. The relatively low breast density observed at diagnosis may have important implications for cancer prevention initiatives in Kenya. Subsequent larger studies are needed to confirm these findings.

scholarly journals Is Mammographic Breast Density an Endophenotype for Breast Cancer?

Cancers ◽  
2021 ◽  
Vol 13 (15) ◽  
pp. 3916
Author(s):  
Ellie Darcey ◽  
Nina McCarthy ◽  
Eric K. Moses ◽  
Christobel Saunders ◽  
Gemma Cadby ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Breast Density ◽  
Disease Risk ◽  
Health Study ◽  
Mammographic Breast Density ◽  
Dense Area ◽  
Cross Sectional ◽  
Meta Analyses

Mammographic breast density (MBD) is a strong and highly heritable predictor of breast cancer risk and a biomarker for the disease. This study systematically assesses MBD as an endophenotype for breast cancer—a quantitative trait that is heritable and genetically correlated with disease risk. Using data from the family-based kConFab Study and the 1994/1995 cross-sectional Busselton Health Study, participants were divided into three status groups—cases, relatives of cases and controls. Participant’s mammograms were used to measure absolute dense area (DA) and percentage dense area (PDA). To address each endophenotype criterion, linear mixed models and heritability analysis were conducted. Both measures of MBD were significantly associated with breast cancer risk in two independent samples. These measures were also highly heritable. Meta-analyses of both studies showed that MBD measures were higher in cases compared to relatives (β = 0.48, 95% CI = 0.10, 0.86 and β = 0.41, 95% CI = 0.06, 0.78 for DA and PDA, respectively) and in relatives compared to controls (β = 0.16, 95% CI = −0.24, 0.56 and β = 0.16, 95% CI = −0.21, 0.53 for DA and PDA, respectively). This study formally demonstrates, for the first time, that MBD is an endophenotype for breast cancer.

scholarly journals Factors Associated with Mammographic Breast Density among Premenopausal and Menopausal Women in Karachi Pakistan

2021 ◽  
Author(s):  
Uzma Shamsi ◽  
Shaista Afzal ◽  
Azra Shamsi ◽  
Iqbal Azam ◽  
David Callen
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Breast Density ◽  
Benign Breast Disease ◽  
Serum Vitamin ◽  
Breast Disease ◽  
Mammographic Breast Density ◽  
Serum Vitamin D ◽  
Dense Breasts ◽  
Younger Age

Abstract Background: There are no studies done to evaluate the distribution of mammographic breast density and factors associated with it among Pakistani women. Methods: Participants included 477 women, who had received either diagnostic or screening mammography at two hospitals in Karachi Pakistan. Mammographic breast density was assessed using the Breast Imaging Reporting and Data System. In person interviews were conducted using a detailed questionnaire, to assess risk factors of interest, and venous blood was collected to measure serum vitamin D level at the end of the interview. To determine the association of potential factors with mammographic breast density, multivariable polytomous logistic regression was used. Results: High-density mammographic breast density (heterogeneously and dense categories) was found in 62.4 % of women. There was a significant association of both heterogeneously dense and dense breasts with women of a younger age group < 45 years (OR= 2.68, 95% CI= 1.60-4.49) and (OR= 4.83, 95% CI= 2.54-9.16) respectively. Women with heterogeneously dense and dense breasts vs. fatty and fibroglandular breasts had a higher history of benign breast disease (OR = 1.90, 95% CI= 1.14–3.17) and (OR= 3.61, 95%CI= 1.90-6.86) respectively. There was an inverse relationship between breast density and body mass index. Women with dense breasts and heterogeneously dense breasts had lower body mass index (OR= 0.94 95% CI= 0.90-0.99) & (OR= 0.81, 95%CI= 0.76-0.87) respectively. There was no association of mammographic breast density with serum vitamin D levels, diet, and breast cancer. Conclusion: The findings of a positive association of higher mammographic density with younger age and benign breast disease and a negative association between body mass index and breast density are important findings that need to be considered in developing screening guidelines for the Pakistani population.

Abstract P6-10-14: Association between mammographic breast density and histologic features of benign breast disease

2015 ◽  
Author(s):  
Karthik Ghosh ◽  
Robert A Vierkant ◽  
Ryan D Frank ◽  
Daniel W Visscher ◽  
Vernon S Pankratz ◽  
...  
Keyword(s):  
Breast Density ◽  
Benign Breast Disease ◽  
Breast Disease ◽  
Mammographic Breast Density

scholarly journals Development of a Quantitative Estimation of Mammographically Breast Density

2017 ◽  
Vol 18 (1) ◽  
pp. 16-20
Author(s):  
Meherun Nahar ◽  
Abdus Sattar Mollah ◽  
Mir Mohammad Akramuzzaman
Keyword(s):  
Breast Cancer ◽  
Mammographic Density ◽  
Breast Density ◽  
Quantitative Estimation ◽  
Mammographic Breast Density ◽  
Computer Assisted ◽  
Image Analyzer ◽  
Oblique View ◽  
Language Version ◽  
Dense Tissue

Objective: Increased mammographic breast density is a moderate independent risk factor for breast cancer. Assessment of breast density may become useful in risk assessment and prevention decisions. To evaluate the association between mammographic density and breast cancer risk, a simple observer-assisted technique called interactive thresholding was developed.Methods: For providing, a quantitative estimation of mammographically dense tissue, in this study computer assisted measurements were carried out using Adobe AIR software. For thresholding technique, software named ‘Xray Image Analyzer’ was programmed in Adobe AIR language version - Action script 3.0. runtime version- Flash player 9, AIR 1.0, and flash Lite-4. Interactive thresholding technique was applied to digitized film screen mammograms, which assesses the proportion of radio graphically dense tissue in the mammographic image representing mammographic density. The technique evaluated for 36 mammograms of 18 women who underwent referral mammography in a hospital at Dhaka city from October 2010 to October 2011.Results: The women in the selected group were in age range of 20 to 60 years, with a mean age of 44±9 and median age is 45 yrs. The technique was found to be very reliable with an intra-class correlation coefficient between observers typically R = 0.887. This technique may have a role in routine mammographic analysis for the purpose of assessing risk categories and as a tool in studies of the etiology of breast cancer, in particular for monitoring changes in breast parenchyma during potential preventive interventions. Conclusion: It is possible to use the interactive segmentation technique for other projections of the breast, such as the medio-lateral oblique view. In this case, however, it is necessary to perform a manual segmentation to remove the image of the pectoral muscle from the analysis. This technique can be employ as a tool in many clinical studies.Bangladesh J. Nuclear Med. 18(1): 16-20, January 2015

Breast density, benign breast disease, and risk of breast cancer over time

2021 ◽  
Author(s):  
Marta Román ◽  
Javier Louro ◽  
Margarita Posso ◽  
Rodrigo Alcántara ◽  
Lupe Peñalva ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Density ◽  
Benign Breast Disease ◽  
Breast Disease ◽  
Over Time
Sign in / Sign up

Export Citation Format

Share Document