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Original article| Volume 24, ISSUE 3, e321-e326, May 2014

Mammographic Breast Density as a Risk Factor for Breast Cancer: Awareness in a Recently Screened Clinical Sample

Published:April 11, 2014DOI:https://doi.org/10.1016/j.whi.2014.02.005

      Abstract

      Background

      Breast density is an established, independent risk factor for breast cancer. Despite this, density has not been included in standard risk models or routinely disclosed to patients. However, this is changing in the face of legal mandates and advocacy efforts. Little information exists regarding women's awareness of density as a risk factor, their personal risk, and risk management options.

      Methods

      We assessed awareness of density as a risk factor and whether sociodemographic variables, breast cancer risk factors. and perceived breast cancer risk were associated with awareness in 344 women with a recent screening mammogram at a tertiary care center.

      Findings

      Overall, 62% of women had heard about density as a risk factor and 33% had spoken to a provider about breast density. Of the sample, 18% reported that their provider indicated that they had high breast density. Awareness of density as a risk factor was greater among White women and those with other breast cancer risk factors.

      Conclusion

      Our results suggest that although a growing number of women are aware of breast density as a risk factor, this awareness varies. Growing mandates for disclosure suggest the need for patient education interventions for women at increased risk for the disease and to ensure all women are equally aware of their risks.
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      References

        • American Cancer Society
        Cancer facts & figures 2013.
        American Cancer Society, Atlanta2013 (Available at:)
        • Barlow W.E.
        • White E.
        • Ballard-Barbash R.
        • Vacek P.M.
        • Titus-Ernstoff L.
        • Carney P.A.
        • et al.
        Prospective breast cancer risk prediction model for women undergoing screening mammography.
        Journal of the National Cancer Institute. 2006; 98: 1204-1214
        • Boyd N.F.
        • Martin L.J.
        • Bronskill M.
        • Yaffe M.J.
        • Duric N.
        • Minkin S.
        Breast tissue composition and susceptibility to breast cancer.
        Journal of the National Cancer Institute. 2010; 102: 1224-1237
      1. Breast Cancer Surveillance Consortium (BCSC). (2013). Breast Cancer Surveillance Consortium risk calculator. Available at: https://tools.bcsc-scc.org/BC5yearRisk/.

        • Brower V.
        Breast density legislation fueling controversy.
        Journal of the National Cancer Institute. 2013; 105: 510-511
        • Chlebowski R.T.
        • Anderson G.L.
        • Lane D.S.
        • Aragaki A.K.
        • Rohan T.
        • Yasmeen S.
        • et al.
        Predicting risk of breast cancer in postmenopausal women by hormone receptor status.
        Journal of the National Cancer Institute. 2007; 99: 1695-1705
        • Chen J.
        • Pee D.
        • Ayyagari R.
        • Graubard B.
        • Schairer C.
        • Byrne C.
        • et al
        Projecting absolute invasive breast cancer risk in white women with a model that includes mammographic density.
        Journal of the National Cancer Institute. 2006; 98: 1215-1226
        • Colin C.
        • Schott A.M.
        Re: Breast tissue composition and susceptibility to breast cancer.
        Journal of the National Cancer Institute. 2011; 103: 77-78
        • Costantino J.P.
        • Gail M.H.
        • Pee D.
        • Anderson S.
        • Redmond C.K.
        • Benichou J.
        • et al.
        Validation studies for models projecting the risk of invasive and total breast cancer incidence.
        Journal of the National Cancer Institute. 1999; 91: 1541-1548
        • Cummings S.R.
        • Tice J.A.
        • Bauer S.
        • Browner W.S.
        • Cuzick J.
        • Ziv E.
        • et al.
        Prevention of breast cancer in postmenopausal women: Approaches to estimating and reducing risk.
        Journal of the National Cancer Institute. 2009; 101: 384-398
        • Cyrus-David M.S.
        Knowledge and accuracy of perceived personal risk in underserved women who are at increased risk for breast cancer.
        Journal of Cancer Education. 2010; 25: 617-623
        • Fajardo L.L.
        Should women be informed of breast density?.
        Journal of the American College of Radiology. 2013; 10: 9-10
        • Gail M.H.
        • Brinton L.A.
        • Byar D.P.
        • Corle D.K.
        • Green S.B.
        • Schairer C.
        • et al.
        Projecting individualized probabilities of developing breast cancer for white females who are being examined annually.
        Journal of the National Cancer Institute. 1989; 81: 1879-1886
        • Gail M.H.
        • Costantino J.P.
        • Pee D.
        • Bondy M.
        • Newman L.
        • Selvan M.
        • et al.
        Projecting individualized absolute invasive breast cancer risk in African American women.
        Journal of the National Cancer Institute. 2007; 99: 1782-1792
        • Gomez S.L.
        • Glaser S.L.
        Misclassification of race/ethnicity in a population-based cancer registry.
        Cancer Causes and Control. 2006; 17: 771-781
        • Graves K.D.
        • Vegella P.
        • Poggi E.A.
        • Peshkin B.N.
        • Tong A.
        • Isaacs C.
        • et al.
        Long-term psychosocial outcomes of BRCA1/BRCA2 testing: Differences across affected status and risk-reducing surgery choice.
        Cancer Epidemiology Biomarkers & Prevention. 2012; 21: 445-455
        • Hall F.M.
        Breast density legislation.
        Radiology. 2013; 266: 997-998
        • Jones B.A.
        • Reams K.
        • Calvocoressi L.
        • Dailey A.
        • Kasl S.V.
        • Liston N.M.
        Adequacy of communicating results from screening mammograms to African American and White women.
        American Journal of Public Health. 2007; 97: 531-538
        • Lee C.I.
        • Bassett L.W.
        • Lehman C.D.
        Breast density legislation and opportunities for patient-centered outcomes research.
        Radiology. 2012; 264: 632-636
        • Maizlish N.
        • Herrera L.
        Race/ethnicity in medical charts and administrative databases of patients served by community health centers.
        Ethnicity and Disease. 2006; 16: 483-487
        • Manning M.A.
        • Duric N.
        • Littrup P.
        • Bey-Knight L.
        • Penner L.
        • Albrecht T.L.
        Knowledge of breast density and awareness of related breast cancer risk.
        Journal of Cancer Education. 2013; 28: 270-274
        • McCormack V.A.
        • dos Santos Silva I.
        Breast density and parenchymal patterns as markers of breast cancer risk: A meta-analysis.
        Cancer Epidemiology, Biomarkers & Prevention. 2006; 15: 1159-1169
      2. National Cancer Institute. (2011). Breast cancer risk assessment tool. Available at: http://www.cancer.gov/bcrisktool/.

      3. National Cancer Institute. (2012). NCI dictionary of cancer terms. “Breast density.” Available at: http://www.cancer.gov/dictionary?cdrid=335487.

      4. National Comprehensive Cancer Network. (2013). NCCN clinical practice guidelines in oncology. Breast cancer risk reduction. version 1.2013. Available at: http://www.nccn.org/professionals/physician_gls/pdf/breast_risk.pdf.

        • Nie K.
        • Su M.Y.
        • Chau M.K.
        • Chan S.
        • Nguyen H.
        • Tseng T.
        Age- and race-dependence of the fibroglandular breast density analyzed on 3D MRI.
        Medical Physics. 2010; 37: 2770-2776
        • Orom H.
        • Kiviniemi M.T.
        • Shavers V.L.
        • Ross L.
        • Underwood W.
        Perceived risk for breast cancer and its relationship to mammography in Blacks, Hispanics and Whites.
        Journal of Behavioral Medicine. 2013; 36: 466-476
        • Paskett E.D.
        • Tatum C.
        • Rushing J.
        • Michielutt R.
        • Bell R.
        • Foley K.L.
        • et al.
        Racial differences in knowledge, attitudes and cancer screening practices among a triracial rural population.
        Cancer. 2004; 101: 2650-2659
        • Perez-Stable E.J.
        • Afable-Munsuz A.
        • Kaplan C.P.
        • Pace L.
        • Samayoa C.
        • Somkin C.
        • et al.
        Factors influencing time to diagnosis after abnormal mammography in diverse women.
        Journal of Women's Health. 2013; 22: 159-166
        • Price E.R.
        • Hargreaves J.
        • Lipson J.A.
        • Sickles E.A.
        • Brenner R.J.
        • Lindfors K.K.
        • et al.
        The California Breast Density Information Group: A collaborative response to the issues of breast density, breast cancer risk, and breast density notification legislation.
        Radiology. 2013; 269: 887-892
        • Saslow D.
        • Boetes C.
        • Burke W.
        • Harms S.
        • Leach M.O.
        • Lehman C.D.
        • et al.
        • for the American Cancer Society Breast Cancer Advisory Group
        American Cancer Society guidelines for breast screening with MRI as an adjunct to mammography.
        CA: A Cancer Journal for Clinicians. 2007; 57: 75-89
        • Schwartz M.D.
        • Isaacs C.
        • Graves K.D.
        • Poggi E.
        • Peshkin B.N.
        • Gell C.
        • et al.
        Long-term outcomes of BRCA1/BRCA2 testing: Risk reduction and surveillance.
        Cancer. 2012; 118: 510-517
        • Taioli E.
        • Joseph G.R.
        • Robertson L.
        • Eckstein S.
        • Ragin C.
        Knowledge and prevention practices before breast cancer diagnosis in a cross-sectional study among survivors: Impact on Patients’ Involvement in the decision making process.
        Journal of Cancer Education. 2013; (Sept 11 [Epub ahead of print])
        • Tamimi R.M.
        • Byrne C.
        • Colditz G.A.
        • Hankinson S.E.
        Endogenous hormone levels, mammographic density, and subsequent risk of breast cancer in postmenopausal women.
        Journal of the National Cancer Institute. 2007; 99: 1178-1187
        • Tice J.A.
        • Cummings S.R.
        • Smith-Bindman R.
        • Ichikawa L.
        • Barlow W.E.
        • Kerlikowske K.
        Using clinical factors and mammographic breast density to estimate breast cancer risk: Development and validation of a new predictive model.
        Annals of Internal Medicine. 2008; 148: 337-347
        • U.S. Preventive Services Task Force
        Chemoprevention of breast cancer: recommendations and rationale.
        Annals of Internal Medicine. 2002; 137: 56-58
        • U.S. Preventive Services Task Force
        Screening for breast cancer: U.S. Preventive Services Task Force recommendation statement.
        Annals of Internal Medicine. 2009; 151: 716-726
        • Vachon C.M.
        • van Gils C.H.
        • Sellers T.A.
        • Ghosh K.
        • Pruthi S.
        • Brandt K.R.
        • et al.
        Mammographic density, breast cancer risk and risk prediction.
        Breast Cancer Research. 2007; 9: 217
        • van Gils C.H.
        • Otten J.D.
        • Verbeek A.L.
        • Hendriks J.H.
        Mammographic breast density and risk of breast cancer: masking bias or causality?.
        European Journal of Epidemiology. 1998; 14: 315-320
        • Visvanathan K.
        • Hurley P.
        • Bantug E.
        • Brown P.
        • Col N.F.
        • Cuzick J.
        • et al.
        Use of pharmacologic interventions for breast cancer risk reduction: American Society of Clinical Oncology Clinical Practice Guideline.
        Journal of Clinical Oncology. 2013; 31: 2942-2962
      5. Vozzella, L. (2012, February 13). Breast-density bill to become law in Virginia. The Washington Post. Available at: http://articles.washingtonpost.com/2012-02-13/local/35442095_1_dense-breast-tissue-information-about-breast-density-breast-cancer.

        • West C.N.
        • Geiger A.M.
        • Greene S.M.
        • Harris E.L.
        • Liu I.L.
        • Barton M.B.
        • et al.
        Race and ethnicity: Comparing medical records to self-reports.
        Journal of the National Cancer Institute Monograph. 2005; 35: 72-74

      Biography

      Suzanne C. O’Neill, PhD, is an Assistant Professor in the Department of Oncology at Georgetown University.

      Biography

      Kara Grace Leventhal, BA, is a Medical Student at Georgetown University School of Medicine.

      Biography

      Marie Scarles, BA, is a Research Assistant at Georgetown University.

      Biography

      Chalanda N. Evans, BA, is a Research Assistant at Georgetown University.

      Biography

      Erini Makariou, MD, is Associate Professor of Radiology and Chief of Breast Imaging at Georgetown University.

      Biography

      Edward Pien, MD, is Associate Professor of Radiology and Chief of Diagnostic Imaging at Georgetown University.

      Biography

      Shawna Willey, MD, is Associate Professor of Surgery, Division Chief of Breast Surgery, and Director of the Betty Lou Ourisman Breast Health Center at Georgetown University.