Mammographic Breast Density and the Gail Model for Breast Cancer Risk Prediction in a Screening Population

被引：0
作者：
Jeffrey A. Tice
Steven R. Cummings
Elad Ziv
Karla Kerlikowske
机构：
[1] University of California,Division of General Internal Medicine, Department of Medicine
[2] General Internal Medicine Section,Department of Veteran Affairs and Department of Epidemiology & Biostatistics
[3] University of California,Division of General Internal Medicine, Department of Medicine
[4] San Francisco Coordinating Center,undefined
[5] University of California,undefined
[6] San Francisco,undefined
来源：
Breast Cancer Research and Treatment | 2005年 / 94卷
关键词：
breast density; breast neoplasms; Gail model; mammography; predictive value of tests; risk assessment; statistical models;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Background. Estimating an individual woman’s absolute risk for breast cancer is essential for decision making about screening and preventive recommendations. Although the current standard, the Gail model, is well calibrated in populations, it performs poorly for individuals. Mammographic breast density (BD) may improve the predictive accuracy of the Gail model.
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页码：115 / 122
页数：7
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