Breast cancer risk prediction and mammography biopsy decisions: a model-based study.
Breast cancer risk prediction and mammography biopsy decisions: a model-based study.
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DOI：
10.1016/j.amepre.2012.10.002
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发表时间：
2013-01
影响因子：
5.5
通讯作者：
Demeter, Mirar N. Bristol
中科院分区：
文献类型：
--
作者：
Armstrong, Katrina;Handorf, Elizabeth A.;Chen, Jinbo;Demeter, Mirar N. Bristol
关于筛查性乳房X光检查的争议仍在继续，部分原因是假阴性和假阳性乳房X光检查的风险。检测前乳腺癌危险因素可能会提高筛查的阳性和阴性预测值。创建一个模型，使用临床和基因组信息估计检测前风险预测对乳房X线检查异常（BI-RADS 3和BI-RADS 4 [乳腺成像报告和数据系统]）高于和低于乳腺活检阈值的女性重新分类的潜在影响。目前的研究使用乳腺癌风险因素的现有数据，12种经验证的乳腺癌单核苷酸多态性（SNP）和BI-RADS类别的癌症概率，对筛查乳房X线检查异常的女性进行了1年乳腺癌风险建模。对高于和低于活检阈值1%、2%和3%风险的妇女进行了重新分类检查。乳腺癌监测联盟的数据是从1996年到2002年收集的。2010年和2011年进行了数据分析。使用2%的活检风险阈值和标准风险因素模型，5%的BI-RADS 3乳房X线摄影女性的风险高于阈值，3%的BIRADS 4A乳房X线摄影女性的风险低于阈值。在模型中添加12个SNP导致8%的BI-RADS 3乳房X线照片高于活检阈值的女性和7%的BI-RADS 4A乳房X线照片低于阈值的女性。纳入检测前乳腺癌风险因素可能会改变一小部分乳房X线检查异常的妇女的活检决定。最大的影响来自标准乳腺癌风险因素。
Controversy continues about screening mammography, in part because of the risk of false-negative and false-positive mammograms. Pre-test breast cancer risk factors may improve the positive and negative predictive value of screening. To create a model that estimates the potential impact of pre-test risk prediction using clinical and genomic information on the reclassification of women with abnormal mammograms (BI-RADS3 and BI-RADS4 [Breast Imaging-Reporting and Data System]) above and below the threshold for breast biopsy. The current study modeled 1-year breast cancer risk in women with abnormal screening mammograms using existing data on breast cancer risk factors, 12 validated breast cancer single nucleotide polymorphisms (SNPs), and probability of cancer given the BI-RADS category. Examination was made of reclassification of women above and below biopsy thresholds of 1%, 2%, and 3% risk. The Breast Cancer Surveillance Consortium data were collected from 1996 to 2002. Data analysis was conducted in 2010 and 2011. Using a biopsy risk threshold of 2% and the standard risk factor model, 5% of women with a BI-RADS3 mammogram had a risk above the threshold, and 3% of women with BIRADS4A mammograms had a risk below the threshold. The addition of 12 SNPs in the model resulted in 8% of women with a BI-RADS3 mammogram above the threshold for biopsy and 7% of women with BI-RADS4A mammograms below the threshold. The incorporation of pre-test breast cancer risk factors could change biopsy decisions for a small proportion of women with abnormal mammograms. The greatest impact comes from standard breast cancer risk factors.
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DOI：
10.1093/jnci/86.8.620
发表时间：
1994-04-20
期刊：
JOURNAL OF THE NATIONAL CANCER INSTITUTE
影响因子：
--
作者：
BONDY, ML;LUSTBADER, ED;VOGEL, VG
通讯作者：
VOGEL, VG
影响因子：
158.5
作者：
Fenton, Joshua J.;Taplin, Stephen H.;Elmore, Joann G.
通讯作者：
Elmore, Joann G.
影响因子：
10.3
作者：
Barlow, William E.;White, Emily;Kerlikowske, Karla
通讯作者：
Kerlikowske, Karla
影响因子：
5.7
作者：
Barton, MB;Moore, S;Fletcher, SW
通讯作者：
Fletcher, SW
影响因子：
19.7
作者：
Baum, Janet K.;Hanna, Lucy G.;Pisano, Etta D.
通讯作者：
Pisano, Etta D.