6th International Workshop on Breast Densitometry and Breast ...
6th International Workshop on Breast Densitometry and Breast ...
6th International Workshop on Breast Densitometry and Breast ...
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P7<br />
6 th <str<strong>on</strong>g>Internati<strong>on</strong>al</str<strong>on</strong>g> <str<strong>on</strong>g>Workshop</str<strong>on</strong>g> <strong>on</strong> <strong>Breast</strong> <strong>Densitometry</strong><br />
<strong>and</strong> <strong>Breast</strong> Cancer Risk Assessment<br />
PREDICTION OF MAMMOGRAPHIC DENSITY USING REPRODUCTIVE AND<br />
LIFESTYLE CHARACTERISTICS<br />
Mariëtte Lokate 1, Linda M. Peelen 1, Marije F. Bakker 1, Petra H.M. Peeters 1, Carla H. van Gils 1<br />
1 Julius Center for Health Sciences <strong>and</strong> Primary Care, University Medical Center, PO Box 85500, 3508<br />
GA Utrecht, the Netherl<strong>and</strong>s<br />
Introducti<strong>on</strong>: <strong>Breast</strong> density is <strong>on</strong>e of the str<strong>on</strong>gest breast cancer risk factors, <strong>and</strong> is most comm<strong>on</strong>ly<br />
assessed using mammography. Since most mammographic breast cancer screening programs start at the<br />
age of 50 years, knowledge of this risk factor becomes available relatively late in life. Earlier informati<strong>on</strong><br />
<strong>on</strong> this risk factor could help in planning preventive or early detecti<strong>on</strong> strategies in these high-risk<br />
women. In this study, we investigated if we can predict mammographic density using characteristics that<br />
are easy to obtain earlier in a woman’s life.<br />
Methods: Within the EPIC-NL cohort, we assessed mammographic density of 871 women aged 50 or 51<br />
years at mammographic examinati<strong>on</strong>. We c<strong>on</strong>structed predicti<strong>on</strong> models with mammographic density as<br />
c<strong>on</strong>tinuous, categorical (