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Breast cancer screening in the era of density notification legislation: summary of 2014 Massachusetts experience and suggestion of an evidence-based management algorithm by multi-disciplinary expert panel

机译:密度报告立法时代的乳腺癌筛查:2014年马萨诸塞州经验总结和多学科专家小组提出的基于证据的管理算法的建议

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Stemming from breast density notification legislation in Massachusetts effective 2015, we sought to develop a collaborative evidence-based approach to density notification that could be used by practitioners across the state. Our goal was to develop an evidence-based consensus management algorithm to help patients and health care providers follow best practices to implement a coordinated, evidence-based, cost-effective, sustainable practice and to standardize care in recommendations for supplemental screening. We formed the Massachusetts Breast Risk Education and Assessment Task Force (MA-BREAST) a multi-institutional, multi-disciplinary panel of expert radiologists, surgeons, primary care physicians, and oncologists to develop a collaborative approach to density notification legislation. Using evidence-based data from the Institute for Clinical and Economic Review, the Cochrane review, National Comprehensive Cancer Network guidelines, American Cancer Society recommendations, and American College of Radiology appropriateness criteria, the group collaboratively developed an evidence-based best-practices algorithm. The expert consensus algorithm uses breast density as one element in the risk stratification to determine the need for supplemental screening. Women with dense breasts and otherwise low risk (<15 % lifetime risk), do not routinely require supplemental screening per the expert consensus. Women of high risk (>20 % lifetime) should consider supplemental screening MRI in addition to routine mammography regardless of breast density. We report the development of the multi-disciplinary collaborative approach to density notification. We propose a risk stratification algorithm to assess personal level of risk to determine the need for supplemental screening for an individual woman.
机译:从2015年生效的马萨诸塞州乳房密度报告立法出发,我们力求开发一种基于证据的协作性密度报告方法,供全州从业人员使用。我们的目标是开发一种基于证据的共识管理算法,以帮助患者和卫生保健提供者遵循最佳实践,以实施协调,基于证据的,具有成本效益的,可持续的实践,并在补充筛查的建议中使护理标准化。我们成立了马萨诸塞州的乳腺癌风险教育和评估工作组(MA-BREAST),该机构是由多机构,多学科的放射线专家,外科医生,初级保健医生和肿瘤学家组成的小组,以制定有关密度通知立法的协作方法。该小组利用临床和经济评论研究所,Cochrane评论,美国国家综合癌症网络指南,美国癌症学会的建议以及美国放射学院的适当性标准提供的循证数据,共同开发了循证最佳实践算法。专家共识算法使用乳房密度作为风险分层中的一项元素,以确定是否需要补充筛查。根据专家的共识,乳房密实且风险较低(终身风险<15%)的女性通常不需要常规筛查。高危女性(终生> 20%的女性)除常规乳房X线照相术外,还应考虑补充筛查MRI,无论乳房密度如何。我们报告密度通知的多学科协作方法的发展。我们提出了一种风险分层算法,以评估个人风险水平,以确定对个别女性进行补充筛查的必要性。

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