Digital Mammography
Digital Mammography
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DOI：
10.1148/radiology.197.1.300
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发表时间：
2019-09
期刊：
影响因子：
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通讯作者：
Andrew D. A. Maidment
中科院分区：
文献类型：
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作者：
Andrew D. A. Maidment
.传统的乳腺癌风险模型使用年龄、体重、激素因素和家族史等输入数据来计算个体乳腺癌风险。这些机构用于管理高危妇女。已经证明，添加乳腺密度作为输入可以提高这种模型的准确性。一个改进的风险模型可以促进基于风险的人群筛查。然而，为了在风险模型中使用乳腺密度，需要采用客观方法来测量密度。已经进行了一项可行性研究，以评估在联合王国国家卫生服务乳房筛查方案中使用基于阶梯楔的技术测量乳房X线照片的乳房密度的实用性，并确定是否可以通过问卷调查收集与风险相关的其他信息。初步结果表明，它是实用的，在筛选环境中使用这样的技术。在100名妇女的样本中，平均密度为27%（范围2 - 81%）。观察到乳房密度与体重指数呈负趋势。
. Conventional risk models for the development of breast cancer use inputs such as age, weight, hormonal factors and family history to compute individual breast cancer risk. These are employed in the management of women at high risk. The addition of breast density as an input has been shown to im-prove the accuracy of such models. An improved risk model could facilitate risk-based population screening. However, in order to use breast density in risk models there is a need to employ objective methods for measuring the density. A feasibility study has been carried out to assess the practicality of using a stepwedge-based technique for measuring breast density from mammograms in the UK National Health Service Breast Screening Programme and to determine whether additional information, relevant to risk, can be collected by questionnaire. Preliminary results suggest that it is practical to use such a technique in the screening environment. In a sample of 100 women, the mean density was 27% (range 2 - 81%). A negative trend in breast density was observed with Body Mass Index.