Department of Radiology, Universitair Medisch Centrum Groningen, University of Groningen, Groningen, The Netherlands.
Eur J Cancer. 2010 Feb;46(3):495-504. doi: 10.1016/j.ejca.2009.10.030. Epub 2009 Nov 26.
For women with a BRCA1 or BRCA2 mutation or a strong family history of breast cancer, there is no clear estimation of the risk of tumour induction versus the beneficial effects of mammography screening available. This study aims to validate the Simulation Model on Radiation Risk and breast cancer Screening (SiMRiSc) model in these women, which can provide information on the benefits and risks of screening for breast cancer for various screening scenarios.
The simulation model for breast cancer screening was developed and the values for model parameters including cancer induction due to radiation were derived from the literature. The simulation model was validated by comparing the outcome data of the model with the data from three published screening studies of women with an increased hereditary breast cancer risk. A sensitivity analysis was used to estimate the error margins of the outcome data and to analyse the sensitivity of the simulation model to each parameter.
The model predicted 71+/-4% of the reported tumours. When excluding the excess number of incident tumours detected in the first screening round, the model predicted 85+/-6% of the tumours reported. The model was most sensitive to changes in the parameters related to lifetime breast cancer risk and sensitivity of mammography.
We conclude that the simulation model is suitable for the provision of accurate benefits' and risks' estimations necessary for the refinement of the screening guidelines for women at an increased risk of breast cancer.
对于携带 BRCA1 或 BRCA2 突变或乳腺癌家族史较强的女性,目前尚无法明确评估肿瘤诱导风险与乳房 X 线筛查的有益效果。本研究旨在验证适用于这些女性的辐射风险和乳腺癌筛查模拟模型(SiMRiSc),该模型可提供各种筛查情况下乳腺癌筛查的获益和风险信息。
开发了用于乳腺癌筛查的模拟模型,从文献中获得了包括辐射致癌在内的模型参数值。通过将模型的结果数据与三项针对遗传性乳腺癌风险增加女性的已发表筛查研究的数据进行比较,对模型进行了验证。使用敏感性分析估计了结果数据的误差幅度,并分析了模型对每个参数的敏感性。
模型预测了 71+/-4%的报告肿瘤。当排除首轮筛查中检测到的异常数量肿瘤时,模型预测了 85+/-6%的报告肿瘤。该模型对与终生乳腺癌风险和乳房 X 线摄影敏感性相关的参数变化最敏感。
我们得出结论,该模拟模型适用于提供准确的获益和风险估计,以完善乳腺癌高危女性的筛查指南。