Prospective breast cancer risk prediction model for women undergoing screening mammography
Prospective breast cancer risk prediction model for women undergoing screening mammography
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DOI：
10.1093/jnci/djj331
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发表时间：
2006-09-06
影响因子：
10.3
通讯作者：
Kerlikowske, Karla
中科院分区：
文献类型：
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作者：
Barlow, William E.;White, Emily;Kerlikowske, Karla
背景乳腺癌的风险预测模型可以通过增加最近确定的风险因素来改进，包括乳腺密度和激素治疗的使用。我们使用前瞻性风险信息来预测接受筛查性乳房X光检查的100万女性队列中乳腺癌的诊断。研究方法：有2 392 998名合格的筛查乳房X线照片的妇女以前没有诊断出乳腺癌谁有以前的乳房X线照片在过去5年。在筛查乳房X光检查的1年内，11638名妇女被诊断患有乳腺癌。通过使用严格的（P
Background. Risk prediction models for breast cancer can be improved by the addition of recently identified risk factors, including breast density and use of hormone therapy. We used prospective risk information to predict a diagnosis of breast cancer in a cohort of 1 million women undergoing screening mammography. Methods: There were 2 392 998 eligible screening mammograms from women without previously diagnosed breast cancer who had had a prior mammogram in the preceding 5 years. Within 1 year of the screening mammogram, 11638 women were diagnosed with breast cancer. Separate logistic regression risk models were constructed for premenopausal and postmenopausal examinations by use of a stringent (P