Little is known about women's knowledge of breast density or between-race differences in this knowledge. In the current study, we examined knowledge of breast density and awareness of its role as a breast cancer risk factor among women who had previously taken part in a breast imaging study. Seventy-seven women (54.5 % Black) returned a survey assessing perceptions and accuracy of breast density knowledge, knowledge of one's own breast density, and breast cancer risk awareness. White women had greater perceived knowledge of breast density compared to Black women; however, differences in the accuracy of definitions of breast density were due to education. Black women were less likely to know how dense their own breasts were. Black and White women both lacked awareness that having dense breast increased breast cancer risk. The results highlight the need to disseminate information regarding breast density to women, while ensuring that the information is equally accessible to both Black and White women.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3794460PMC
http://dx.doi.org/10.1007/s13187-013-0457-1DOI Listing

Publication Analysis

Top Keywords

breast density
32
knowledge breast
16
breast cancer
16
cancer risk
16
breast
13
white women
12
density
8
density awareness
8
women
8
black women
8

Similar Publications

Giant triple negative pregnancy-associated breast cancer (PABC) in a young woman: From diagnosis to therapy step by step: A case report.

Radiol Case Rep

March 2025

Department of Diagnostic Imaging, Oncological Radiotherapy, and Hematology, Diagnostic Imaging Area, Italy.

Pregnancy-associated breast cancer (PABC) presents unique challenges. This type of breast cancer is often more aggressive than that diagnosed in nonpregnant women, and its diagnosis is frequently delayed. Several factors contribute to this delay, including the physiological changes that occur during pregnancy, such as breast enlargement, breast tenderness and increased tissue density, which can mask early signs of malignancy.

View Article and Find Full Text PDF

External validation of a multivariable prediction model for positive resection margins in breast-conserving surgery.

BMC Res Notes

January 2025

Department of Surgery, Department of Clinical Sciences, Division of Surgery, Skåne University Hospital, Lund University, Lund, Sweden.

Objectives: Positive resection margins after breast-conserving surgery (BCS) most often demands a repeat surgery. To preoperatively identify patients at risk of positive margins, a multivariable model has been developed that predicts positive margins after BCS with a high accuracy. This study aimed to externally validate this prediction model to explore its generalizability and assess if additional preoperatively available variables can further improve its predictive accuracy.

View Article and Find Full Text PDF

The characteristics of heartwood and sapwood not only reflect tree growth and site quality but also provide insights into habitat changes. This study examines the natural Oliv. forest in the Arghan section of the lower Tarim River, comparing the heartwood and sapwood characteristics of at different distances from the river, as well as at varying trunk heights and diameters at breast height (DBH).

View Article and Find Full Text PDF

Coffee cherry pulp (CCP) is a by-product of coffee bean production. CCP contains amounts of phenolic compounds that are beneficial for animals. This study evaluated the impact of coffee cherry pulp extract (CCPE) supplementation on growth performance, meat quality, carcass characteristics, serum biochemistry, cecum microbial population, intestinal morphology, and immune and antioxidant responses of broilers.

View Article and Find Full Text PDF

Background/objectives: This study pioneers the application of the ViPLUS module, utilizing plane-wave ultrasound to measure breast tissue viscosity and elasticity. The primary goal was to establish normal reference values for viscosity in healthy women. Secondary objectives included exploring correlations between breast tissue viscosity and breast density categories, hormonal influences, and menstrual cycle phases.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!