scholarly journals What do women know about breast density? A public screening program perspective

2020 ◽  
Author(s):  
Monique Robertson ◽  
Ellie C Darcey ◽  
Evenda K Dench ◽  
Louise Keogh ◽  
Kirsty McLean ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Density ◽  
Screening Program ◽  
Mammographic Screening ◽  
Descriptive Data ◽  
Additional Information ◽  
Dense Breasts ◽  
Increased Risk ◽  
Main Message ◽  
First Time

AbstractBackgroundThis study assesses knowledge of breast density, one of breast cancer’s strongest risk factors, in women attending a public mammographic screening program in Western Australia that routinely notifies women if they have dense breasts.MethodsSurvey data was collected from women who were notified they have dense breasts and women who had not (controls). Descriptive data analysis was used to summarize responses.ResultsOf the 6183 women surveyed, over 85% of notified women knew that breast density makes it difficult to see cancer on a mammogram (53.9% in controls). A quarter of notified women knew that having dense breasts puts women at increased risk for breast cancer (13.2% in controls). Overall, 50.1% of notified women indicated that they thought the amount of information provided was “just right” and 24.9% thought it was “too little”, particularly women notified for the first time (32.1%).ConclusionThe main message of reduced sensitivity of mammography in women with dense breasts provided by the screening program appears to be getting though. However, women are largely unaware that increased breast density is associated with increased risk. Women notified of having dense breasts for the first time could potentially benefit from additional information.

scholarly journals Confusion and Anxiety Following Breast Density Notification: Fact or Fiction?

2020 ◽  
Vol 9 (4) ◽  
pp. 955
Author(s):  
Evenda K. Dench ◽  
Ellie C. Darcey ◽  
Louise Keogh ◽  
Kirsty McLean ◽  
Sarah Pirikahu ◽  
...  
Keyword(s):  
Breast Density ◽  
Western Australia ◽  
Screening Program ◽  
Mammographic Screening ◽  
Evidence Based ◽  
Psychological Reactions ◽  
Dense Breasts ◽  
Screening Intentions ◽  
Absence Of Evidence

In the absence of evidence-based screening recommendations for women with dense breasts, it is important to know if breast density notification increases women’s anxiety. This study describes psychological reactions and future screening intentions of women attending a public mammographic screening program in Western Australia. Two-thirds of notified women indicated that knowing their breast density made them feel informed, 21% described feeling anxious, and 23% confused. Of the notified women who reported anxiety, 96% intended to re-screen when due (compared to 91% of all notified women and 93% of controls; p = 0.007 and p < 0.001, respectively). In summary, reported anxiety (following breast density notification) appears to increase women’s intentions for future screening, not the reverse.

scholarly journals The impact of breast density notification on rescreening rates within a population-based mammographic screening program

2022 ◽  
Vol 24 (1) ◽  
Author(s):  
Sarah Pirikahu ◽  
Helen Lund ◽  
Gemma Cadby ◽  
Elizabeth Wylie ◽  
Jennifer Stone
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Breast Density ◽  
Screening Program ◽  
Population Based ◽  
Mammographic Screening ◽  
Younger Women ◽  
Screening Programs ◽  
The Impact

Abstract Background High participation in mammographic screening is essential for its effectiveness to detect breast cancers early and thereby, improve breast cancer outcomes. Breast density is a strong predictor of breast cancer risk and significantly reduces the sensitivity of mammography to detect the disease. There are increasing mandates for routine breast density notification within mammographic screening programs. It is unknown if breast density notification impacts the likelihood of women returning to screening when next due (i.e. rescreening rates). This study investigates the association between breast density notification and rescreening rates using individual-level data from BreastScreen Western Australia (WA), a population-based mammographic screening program. Methods We examined 981,705 screening events from 311,656 women aged 40+ who attended BreastScreen WA between 2008 and 2017. Mixed effect logistic regression was used to investigate the association between rescreening and breast density notification status. Results Results were stratified by age (younger, targeted, older) and screening round (first, second, third+). Targeted women screening for the first time were more likely to return to screening if notified as having dense breasts (Percentunadjusted notified vs. not-notified: 57.8% vs. 56.1%; Padjusted = 0.016). Younger women were less likely to rescreen if notified, regardless of screening round (all P < 0.001). There was no association between notification and rescreening in older women (all P > 0.72). Conclusions Breast density notification does not deter women in the targeted age range from rescreening but could potentially deter younger women from rescreening. These results suggest that all breast density notification messaging should include information regarding the importance of regular mammographic screening to manage breast cancer risk, particularly for younger women. These results will directly inform BreastScreen programs in Australia as well as other population-based screening providers outside Australia who notify women about breast density or are considering implementing breast density notification.

scholarly journals Stratification of Breast Cancer Risk in Terms of the Influence of Age and Mammographic density

2020 ◽  
Vol 192 (07) ◽  
pp. 678-685 ◽  
Author(s):  
Stefanie Weigel ◽  
Walter Heindel ◽  
Caroline Dietz ◽  
Ulrike Meyer-Johann ◽  
Axel Graewingholt ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Density ◽  
Screening Program ◽  
Reference Group ◽  
Age Groups ◽  
Mammographic Screening ◽  
P Value ◽  
Multivariate Statistical ◽  
Logistic Regression Models ◽  
Screening Participation

Purpose Analysis of the influence of the singular risk factors age and breast density on the 2-year incidence of breast cancer among participants in the German mammography screening program. Materials and Methods The multicenter study includes 111 456 subsequent round digital mammographic screening examinations from four screening units with prospective visual categorization of breast density. Based on detection in screening and during the 2-year interval after negative screening participation (interval cancers), 2-year breast cancer incidences (2 YBCI) (‰) were calculated in the 5-year age groups (5 YAG) of the target group 50–69 years and in the BI-RADS density categories ACR 1–4. Multivariate statistical evaluations were carried out using logistic regression models. Results With an increase in the 5 YAG, the 2 YBCI increased by 5.0 ‰, 6.7 ‰, 8.5 ‰ to 9.7 ‰, and was significantly different among 55–59, 60–64 and 65–69-year-old women compared to the youngest reference group 50–54 years (odds ratio (OR): 1.34; 1.68; and 1.93; p-value < 0.0001). With an increase in density categories 1–4, the 2 YBCI increased from 2.6 ‰, to 5.8 ‰, 9.6 ‰, and 9.7 ‰. The 2 YBCI differed significantly in breast density categories 2, 3, 4 from reference group 1 (OR: 2.17; 3.65; and 3.76; p-value < 0.0001). Only within the two main breast density groups 2 (frequency 44.3 %) and 3 (44.7 %), a significant increase in the 2 YBCI was observed across the 5 YAG (category 2: 3.7–8.9 ‰; category 3: 5.8–11.7 ‰; p-value < 0.001 each). The 2 YBCI was above the median of 7.5 ‰ in women with breast density category 2 and aged 65–69 years, as well as in women with breast density categories 3 and 4 aged 55–69 years. A 2 YBCI below the median was seen in women between 50–54 years regardless of breast density, as well as women in category 1 in all age groups. Conclusion Within the main breast density categories 2 and 3 (almost 90 % of participants), incidences increase with age to double. A consistently low incidence is found regardless of breast density at a young screening age and in women with the lowest breast density. Key Points:  Citation Format

scholarly journals Interobserver Variability and Distribution of Mammographic Breast Density in Patients with Invasive Breast Carcinoma using the Fifth Edition of BI-RADS Guidelines

2021 ◽  
Vol 20 (3) ◽  
Author(s):  
Siti Soraya Ab Rahman ◽  
Luqman Hakim Mohd Kamal ◽  
Farah Hani Ab Rahman ◽  
Rosliza Ghazali ◽  
Emelianah Saidil ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Carcinoma ◽  
Breast Density ◽  
Interobserver Variability ◽  
Weighted Kappa ◽  
Invasive Breast Carcinoma ◽  
Mammographic Breast Density ◽  
Dense Breasts ◽  
Increased Risk ◽  
Acceptable Method

INTRODUCTION: Breast density is associated with an increased risk of developing breast cancer. The present study aims to determine the distribution and interobserver variability of mammographic breast density in patients with invasive breast carcinoma, using the fifth edition of BI-RADS guidelines. It is part of a larger study to ascertain the association between mammographic breast density and breast cancer characteristics. MATERIALS AND METHODS: Two radiologists independently assessed 122 mammograms of patients with histologically confirmed invasive breast carcinoma and assigned the breast density to categories A-D based on the fifth edition of BI-RADS guidelines. The interobserver variability was calculated using the weighted kappa coefficient and the level of agreement was determined using the Landis and Koch guidelines. RESULTS: In this study, 55.7% of patients with invasive breast carcinoma were assigned to category B, followed by category C with 36.1%. Only 4.1% of patients were assigned to categories A and D respectively. There was substantial agreement between the two readers’ judgement, k=0.610 (95% CI, 0.523-0.697), p < 0.001 for specific BI-RADS categories. CONCLUSION: Among patients with invasive breast carcinoma, there were more patients with non-dense breasts than dense breasts. Overall, there is a substantial interobserver agreement when radiologists used the fifth edition of the BI-RADS guideline, which is in line with results found in the literature. This suggests that the BI-RADS density classification is an acceptable method and can be reliably used in clinical practice.

scholarly journals Relationship of mammographic densities to breast cancer risk

2021 ◽  
Vol 52 (1) ◽  
Author(s):  
Engy A. Ali ◽  
Mariam Raafat
Keyword(s):  
Breast Cancer ◽  
Breast Density ◽  
Statistical Significance ◽  
Significant Risk ◽  
Close Relation ◽  
Mammographic Screening ◽  
Mammographic Breast Density ◽  
Study Results ◽  
Relationship Of ◽  
Mammographic Densities

Abstract Background Our goal was to find out the relation between mammographic densities and cancer of the breast according to the recent ACR classification. From the medical records of Kasereliny Hospital, 49,409 women were subjected to digital mammography for screening, of which 1500 breast cancer cases were collected. The mammographic categories of breast density were ACR-A, B, C, and D, which were detected by two senior radiologists. All radiological classifications were made using both standard mammographic views bilaterally. Two-sided tests of statistical significance were represented by all the P values. Results From 2014 to 2019, 49,409 women came for digital mammographic screening, their age ranges between 40 and 65, and all of them are included in the study. One thousand cases of breast cancer cases were radiologically and pathologically diagnosed. Different densities were arranged in descending pattern depending on the frequency of positive cases: D (13.7%), C (3.3%), B (2.7%), A (2.2%). There is positive significant risk ratio among every higher mammographic density in comparison to the lower density. Conclusion Our study results show that the risk of breast cancer is in close relation to the mammographic breast density.

scholarly journals Changes in Metabolic Syndrome Status and Breast Cancer Risk: A Nationwide Cohort Study

Cancers ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1177
Author(s):  
In Young Choi ◽  
Sohyun Chun ◽  
Dong Wook Shin ◽  
Kyungdo Han ◽  
Keun Hye Jeon ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Metabolic Syndrome ◽  
Proportional Hazards ◽  
Screening Program ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Models ◽  
Hazard Ratios ◽  
Increased Risk ◽  
Health Screening Program ◽  
Design And Methods

Objective: To our knowledge, no studies have yet looked at how the risk of developing breast cancer (BC) varies with changes in metabolic syndrome (MetS) status. This study aimed to investigate the association between changes in MetS and subsequent BC occurrence. Research Design and Methods: We enrolled 930,055 postmenopausal women aged 40–74 years who participated in a biennial National Health Screening Program in 2009–2010 and 2011–2012. Participants were categorized into four groups according to change in MetS status during the two-year interval screening: sustained non-MetS, transition to MetS, transition to non-MetS, and sustained MetS. We calculated multivariable-adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for BC incidence using the Cox proportional hazards models. Results: At baseline, MetS was associated with a significantly increased risk of BC (aHR 1.11, 95% CI 1.06–1.17) and so were all of its components. The risk of BC increased as the number of the components increased (aHR 1.46, 95% CI 1.26–1.61 for women with all five components). Compared to the sustained non-MetS group, the aHR (95% CI) for BC was 1.11 (1.04–1.19) in the transition to MetS group, 1.05 (0.96–1.14) in the transition to non-MetS group, and 1.18 (1.12–1.25) in the sustained MetS group. Conclusions: Significantly increased BC risk was observed in the sustained MetS and transition to MetS groups. These findings are clinically meaningful in that efforts to recover from MetS may lead to reduced risk of BC.

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.

ACR BI-RADS Breast Density and its correlation with breast cancer screening program

QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Ghada Khaled Ahmed ◽  
Mounir Sobhy Guirguis ◽  
Mona Gamalluldin Alsayed Alkaphoury
Keyword(s):  
Breast Cancer ◽  
Risk Factor ◽  
Cancer Screening ◽  
Breast Cancer Screening ◽  
Breast Density ◽  
Screening Program ◽  
Dense Breast ◽  
Egyptian Population ◽  
Breast Cancer Screening Program ◽  
Cancer Screening Program

Abstract Background Breast cancer remains one of the leading causes of death in women over the age of 40 years. Breast cancer screening is used to identify women with asymptomatic cancer with the goal of enabling women to undergo less invasive treatments that lead to better outcomes, ideally at earlier stages and before the cancer progresses. Mammography is the best-studied breast cancer screening modality and the only recommended imaging tool for screening the general population of women. Objective to correlate the relation between ACR density of breast and breast cancer in screening program. Patients and Methods Our study included 40 women of breast cancer were depicted radiologically and histo-pathologically diagnosed after outreaching for screening by Digital Mammography by the Egyptian National Breast Cancer Screening Program in Ain Shams University Hospitals at period from January 2018 to October 2019.Their data were collected from the medical records of the program. Their age ranged between 40 and 65 years. Results According to the BI-RADS 5th edition 2013, cases were classified into four classes as follows: 6 were ACR-A (15.0%), 21 were ACR-B (52.5%), 12 were ACR-C (30.0%) and 1 were ACR-D (2.5%), So according to our study results dense breast shouldn’t be considered as a risk factor for breast cancer as we observed that the percentage of breast cancer in our study increases the most with average breast density ACR class B then increases with ACR class C and A respectively. Conclusion dense breast is not a risk factor for breast cancer, so further researches are needed to study the relationship between breast density and breast cancer in Egyptian population, to elucidate the role of breast density estimation in prediction of breast cancer considering the genotypical and phenotypical differences of the Egyptian population.

Mammographic Breast Density: Effect on Imaging and Breast Cancer Risk

2010 ◽  
Vol 8 (10) ◽  
pp. 1157-1165 ◽  
Author(s):  
Renee W. Pinsky ◽  
Mark A. Helvie
Keyword(s):  
Breast Cancer ◽  
Breast Density ◽  
Menopausal Status ◽  
Masking Effect ◽  
Mammographic Breast Density ◽  
Ultrasound Screening ◽  
High Risk Women ◽  
Dense Breasts ◽  
Reduction Strategies ◽  
Risk Reduction Strategies

Mammographic breast density has been studied for more than 30 years. Greater breast density not only is related to decreased sensitivity of mammograms because of a masking effect but also is a major independent risk factor for breast cancer. This article defines breast density and reviews literature on quantification of mammographic density that is key to future clinical and research protocols. Important influences on breast density are addressed, including age, menopausal status, exogenous hormones, and genetics of density. Young women with dense breasts benefit from digital mammographic technique. The potential use of supplemental MRI and ultrasound screening techniques in high-risk women and women with dense breasts is explored, as are potential risk reduction strategies.

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