The Impact of Breast Density on Breast Cancer Risk and Breast Screening

2012 ◽  
Vol 4 (2) ◽  
pp. 161-168 ◽  
Author(s):  
Nehmat Houssami ◽  
Karla Kerlikowske
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Breast Density ◽  
Breast Screening ◽  
The Impact

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.

Breast Screening and Evaluation, High Risk Patients

2019 ◽  
Author(s):  
Helen Cappuccino ◽  
Ermelinda Bonaccio
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
High Risk ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Risk Reduction ◽  
Breast Density ◽  
Breast Screening ◽  
High Risk Patients ◽  
Risk Patients

The fundamental tasks facing surgeons evaluating patients’ breasts are to rule out malignancy, ameliorate breast symptoms, and manage premalignant breast conditions and risk factors to minimize a patient’s chances of developing cancer. Woman presenting to a surgeon should receive thorough and appropriate breast evaluation, breast cancer risk assessment, and treatment, which minimizes risks going forward. In this review, we focus on screening recommendations for (both average and high-risk) patients for breast cancer, Breast Imaging, Reporting and Data System categories, the performance of a thorough breast history and physical examination. We also discuss various breasts imaging modalities and their strengths and weaknesses. We review breast density as a confounding factor and increased risk factor, and the grading of breast density. Finally, different ways of performing breast biopsies are discussed as well as the evaluation of risk for breast cancer with interventions for enhanced screening and risk reduction. This review contains 12 figures, 7 tables, and 35 references.  Key Words: BI-RADs, breast cancer risk factors, breast cancer risk reduction, breast core biopsy, breast screening, enhanced screening, BRCA, chemoprevention, mammography

scholarly journals The impact of having a sister diagnosed with breast cancer on cancer-related distress and breast cancer risk perception

Cancer ◽  
2013 ◽  
Vol 119 (9) ◽  
pp. 1722-1728 ◽  
Author(s):  
Kelly A. Metcalfe ◽  
May-Lynn Quan ◽  
Andrea Eisen ◽  
Tulin Cil ◽  
Ping Sun ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Perception ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Cancer Risk Perception ◽  
The Impact

scholarly journals From the Table to the Tumor: The Role of Mediterranean and Western Dietary Patterns in Shifting Microbial-Mediated Signaling to Impact Breast Cancer Risk

Nutrients ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 2565 ◽  
Author(s):  
Tiffany M. Newman ◽  
Mara Z. Vitolins ◽  
Katherine L. Cook
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Mediterranean Diet ◽  
Dietary Patterns ◽  
Gut Microbiome ◽  
Western Diet ◽  
Diet Pattern ◽  
The Mediterranean ◽  
The Impact

Diet is a modifiable component of lifestyle that could influence breast cancer development. The Mediterranean dietary pattern is considered one of the healthiest of all dietary patterns. Adherence to the Mediterranean diet protects against diabetes, cardiovascular disease, and cancer. Reported consumption of a Mediterranean diet pattern was associated with lower breast cancer risk for women with all subtypes of breast cancer, and a Western diet pattern was associated with greater risk. In this review, we contrast the available epidemiological breast cancer data, comparing the impact of consuming a Mediterranean diet to the Western diet. Furthermore, we will review the preclinical data highlighting the anticancer molecular mechanism of Mediterranean diet consumption in both cancer prevention and therapeutic outcomes. Diet composition is a major constituent shaping the gut microbiome. Distinct patterns of gut microbiota composition are associated with the habitual consumption of animal fats, high-fiber diets, and vegetable-based diets. We will review the impact of Mediterranean diet on the gut microbiome and inflammation. Outside of the gut, we recently demonstrated that Mediterranean diet consumption led to distinct microbiota shifts in the mammary gland tissue, suggesting possible anticancer effects by diet on breast-specific microbiome. Taken together, these data support the anti-breast-cancer impact of Mediterranean diet consumption.

scholarly journals Radiologic Technologist and Radiologist Knowledge Gaps about Breast Density Revealed by an Online Continuing Education Course

2020 ◽  
Vol 2 (4) ◽  
pp. 315-329 ◽  
Author(s):  
Robin L Seitzman ◽  
JoAnn Pushkin ◽  
Wendie A Berg
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Continuing Education ◽  
Breast Density ◽  
Cancer Risk Assessment ◽  
Knowledge Gaps ◽  
Radiologic Technologists ◽  
Breast Cancer Risk Assessment ◽  
Post Test

Abstract Objective We sought to identify provider knowledge gaps and their predictors, as revealed by a breast density continuing education course marketed to the radiology community. Methods The course, continually available online during the study period of November 2, 2016 and December 31, 2018, includes demographics collection; a monograph on breast density, breast cancer risk, and screening; and a post-test. Four post-test questions were modified during the study period, resulting in different sample sizes pre- and postmodification. Multiple logistic regression was used to identify predictors of knowledge gaps (defined as &gt; 25% of responses incorrect). Results Of 1649 analyzable registrants, 1363 (82.7%) were radiologic technologists, 226 (13.7%) were physicians, and 60 (3.6%) were other nonphysicians; over 90% of physicians and over 90% of technologists/nonphysicians specialized in radiology. Sixteen of 49 physicians (32.7%) and 80/233 (34.3%) technologists/nonphysicians mistakenly thought the Gail model should be used to determine “high-risk” status for recommending MRI or genetic testing. Ninety-nine of 226 (43.8%) physicians and 682/1423 (47.9%) technologists/nonphysicians misunderstood the inverse relationship between increasing age and lifetime breast cancer risk. Fifty-two of 166 (31.3%) physicians and 549/1151 (47.7%) technologists/nonphysicians were unaware that MRI should be recommended for women with a family history of BRCA1/BRCA2 mutations. Tomosynthesis effectiveness was overestimated, with 18/60 (30.0%) physicians and 95/272 (34.9%) technologists/nonphysicians believing sensitivity nearly equaled MRI. Knowledge gaps were more common in technologists/nonphysicians. Conclusions Important knowledge gaps about breast density, breast cancer risk assessment, and screening exist among radiologic technologists and radiologists. Continued education efforts may improve appropriate breast cancer screening recommendations.

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