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6 th <strong>International</strong> <strong>Workshop</strong> on Breast Densitometry and Breast Cancer Risk Assessment THE EFFECT OF WEIGHT CHANGE ON CHANGES IN BREAST MEASURES OVER MENOPAUSE J.O.P. Wanders 1 , M.F. Bakker 1 , P.H.M. Peeters 1,2 , C.H. van Gils 1 ABSTRACTS FOR SPEAKERS 1 Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, POBox 85500, 3508 GA Utrecht, The Netherlands; 2 Department of Epidemiology, Public Health and Primary Care, Faculty of Medicine, Imperial College, Norfolk Place, London W2 1PG, UK Introduction: Higher BMI and weight have been related to lower percent density in cross-sectional studies. However, little is known on how weight change over time is longitudinally related to changes in mammographic density. Here we investigate, in a population going through menopause, how dense area, non-dense area and percent density change and to what extent this is influenced by weight change over menopause. Methods: 652 women, aged 49 to 61 years at recruitment, who participated in the Prospect-EPIC cohort and went through menopause on average within 5 years after recruitment, were included in this study to examine the effect of weight change on mammographic measures over menopause. All women had a preand post-menopausal mammogram and information about their weight at the time of these mammograms was available. A quantitative computer-assisted method (Cumulus) was used for breast measure assessment. Women were divided into 3 groups according to their percentage weight change over menopause: 1) weight loss (more than 1.5% weight loss), 2) stable weight (not more than 1.5% weight loss or weight gain) and 3) weight gain (more than 1.5% weight gain). Results: Percentage weight change ranged from -20.3% to +125.2% . 190 (29%) women lost more than 1.5% of their body weight at recruitment, 138 (21%) women remained weight stable and 324 (50%) women gained more than 1.5% of their body weight at recruitment. The mean absolute change in nondense area in the weight loss, stable weight and weight gain group was -3.7 cm 2 (95% CI: -7.8 ; 0.5), -4.6 cm 2 (95% CI: -8.9 ; -0.3) and 4.5 cm 2 (95% CI: 1.8 ; 7.2), respectively (p-value for a linear trend, p-trend < 0.001). The mean absolute change in dense area was -16.2 cm 2 (95% CI: -19.6 ; -12.8), -15.0 cm 2 (95% CI: -18.0 ; -12.0) and -16.3 cm 2 (95% CI: -18.1 ; -14.4), respectively (p-trend=0.87). Finally, the mean absolute change in percentage breast density was -5.7% (95% CI: -7.7 ; -3.7), -5.0% (95% CI: -7.2 ; - 2.8) and -9.3% (95% CI: -10.7 ; -7.8), respectively (p-trend=0.001). Conclusion: Women who go through menopause on average show a decrease in both dense area and percent density. The decrease in dense area is independent of weight change. The decrease in percent density is larger in women who gain weight than in women with stable weight or weight loss. This is due to an increase in the non-dense (fatty) tissue in this group. The role of the fatty breast tissue in breast cancer risk is subject of further investigation. 22
6 th <strong>International</strong> <strong>Workshop</strong> on Breast Densitometry and Breast Cancer Risk Assessment AWARENESS OF BREAST DENSITY AND ITS RELATIONSHIP TO MAMMOGRAPHY SENSITIVITY AND BREAST CANCER RISK AMONG U.S. WOMEN: RESULTS OF A NATIONAL SURVEY Rhodes DJ, Radecki-Breitkopf C, Ziegenfuss J*, Jenkins SM, Vachon CM. Mayo Clinic, Rochester MN (*HealthPartners, Minneapolis MN) Background: Recent legislation mandating breast density (BD) notification assumes a knowledge deficit among screening-aged women, but little is known about women’s awareness of BD or its impact on mammography sensitivity and breast cancer risk. Methods: Using a probability-based web panel (KnowledgePanel) representative of the United States population, we surveyed women aged 40 -74 years regarding their awareness of BD and knowledge of the impact of BD on mammography sensitivity and breast cancer risk. Results: Of 2,311 women surveyed, 1,506 completed questionnaires. Overall, 58% of women had heard of BD. Factors significantly correlated with a higher likelihood of having heard of BD include: age older than 50 years (p < 0.001); White race/ethnicity (p < 0.0001); higher income and educational attainment (p < 0.0001); self-described health status as “very good” or “excellent”(p < 0.01); use of hormone therapy (p < 0.01); prior mammography (p
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