Kristie Bobolis, MD, Medical Oncology and Hematology, Sutter Roseville Medical Center, Roseville, CA
Carolyn J Cagnassola, JD, PharmD, Director-Quality, BioMetrics/Statistics-Global Medical Quality- Eli Lilly and Company, Indianapolis, IN
Julie S. Gershon, MD, Breast Radiologist and Owner of J. Gershon Breast Imaging, Avon, CT.
Regina Hampton, MD, FACS, Medical Director and Co-Founder Breast Care for Washington, Washington, DC
Beth A. Jones, PhD, MPH, Assistant Director Diversity and Health Equity, Yale Cancer Center, Cancer Screening Program Director, Smilow Cancer Hospital, New Haven CT
Jane L. Kakkis, MD, MPH, Breast Surgeon, Director Breast Center Orange Coast Memorial Hospital, Fountain Valley, CA
David L. Katz, MD, MPH, FACPM, FACP, FACLM, Director, Yale University Prevention Research Center, Griffin Hospital, Fellow, Morse College,Yale University. President, American College of Lifestyle Medicine, Founder, True Health Initiative, Hamden, CT
Despina Kontos, PhD, Assistant Professor, Computational Breast Imaging Group (CBIG), Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA
Richard Reitherman, PhD, MD, Medical Director of Breast Imaging at the Memorial Care Breast Center, Orange Coast Memorial Hospital, Fountain Valley, CA
Bonnie Rush, RT(R)(M)(QM), President, Breast Imaging Specialists, Education, Practice Management, Advocacy, San Diego, CA
Molly M. Shipman, DO, Obstetrician/Gynecologist. The Center for Women's Health in Connecticut, Waterbury, CT
David A. Strahle, MD, Chairman and President of Regional Medical Imaging, Flint, MI
Carlos E. Vasquez, FACHE, Vice President, Chief Operating Officer, Franciscan Health Rensselaer, Rensselaer, IN
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Breast density is one of the strongest predictors of the failure of mammography screening to detect cancer.
Two-thirds of pre-menopausal women and 1/4 of post menopausal women have dense breast tissue.
Adding more sensitive tests to mammography significantly increase detection of invasive cancers that are small and node negative.
Cancer turns up five times more often in women with extremely dense breasts than those with the most fatty tissue.
While a mammogram detects 98% of cancers in women with fatty breasts, it finds only 48% in women with the densest breasts.
A woman at average risk and a woman at high risk have an EQUAL chance of having their cancer masked by mammogram.
Women with dense breasts who had breast cancer have a four times higher risk of recurrence than women with less-dense breasts.
There are too many women who are unaware of their breast density, believe their “Happy Gram” when it reports no significant findings and are at risk of receiving a later stage cancer diagnosis.