W484 EVALUATION OF THE RELATIONSHIP BETWEEN BREAST DENSITY AND BREAST CANCER RISK AMONG FEMALE RURAL DWELLERS

2012 ◽  
Vol 119 ◽  
pp. S862-S862
Author(s):  
A. Haratym-Maj ◽  
M. Florek-Luszczki ◽  
M.B. Wawrzycka ◽  
M. Andres-Mach
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Breast Density ◽  
Rural Dwellers ◽  
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.

scholarly journals Organophosphate Pesticide Exposure and Breast Cancer Risk: A Rapid Review of Human, Animal, and Cell-Based Studies

2020 ◽  
Vol 17 (14) ◽  
pp. 5030 ◽  
Author(s):  
Kailynn June Yang ◽  
Jennifer Lee ◽  
Hannah Lui Park
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Human Studies ◽  
Rapid Review ◽  
Cumulative Exposure ◽  
Laboratory Studies ◽  
Estrogenic Potential ◽  
The Relationship ◽  
The U.S

Background: Organophosphate pesticides (OPs) are one of the most commonly used classes of insecticides in the U.S., and metabolites of OPs have been detected in the urine of >75% of the U.S. population. While studies have shown that OP exposure is associated with risk of neurological diseases and some cancers, the relationship between OP exposure and breast cancer risk is not well understood. Methods: The aim of this rapid review was to systematically evaluate published literature on the relationship between OP exposure and breast cancer risk, including both epidemiologic and laboratory studies. Twenty-seven full-text articles were reviewed by searching on Pubmed, EMBASE, and Cochrane databases. Results: Some human studies showed that malathion, terbufos, and chlorpyrifos were positively associated with human breast cancer risk, and some laboratory studies demonstrated that malathion and chlorpyrifos have estrogenic potential and other cancer-promoting properties. However, the human studies were limited in number, mostly included agricultural settings in several geographical areas in the U.S., and did not address cumulative exposure. Conclusions: Given the mixed results found in both human and laboratory studies, more research is needed to further examine the relationship between OP exposure and breast cancer risk, especially in humans in non-agricultural settings.

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 > 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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