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一个随机对2个风险评估模型进行的研究,用于个性化估计乳腺癌风险
Adrià López-Fernández1,2, Laura Duran-Lozano1, Guillermo Villacampa3
1Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain.
Journal of the National Cancer Institute
|April 2, 2025
概括
将乳腺密度和多基因风险分数 (PRS) 添加到乳腺癌风险评估中,显著地重新分类了女性.
科学领域:
- 遗传学和基因组学 在
- 在瘤学瘤学.
- 预防医学 预防医学
背景情况:
- 准确的乳腺癌风险估计对于个性化查和干预至关重要.
- 遗传和非遗传因素,包括家族病史,是风险评估的关键组成部分.
- 本研究探讨了将新风险因素纳入现有模型的必要性.
研究的目的:
- 评估结合乳腺密度和多基因风险评分 (PRS) 对乳腺癌风险重新分类的影响.
- 为了比较面对面与预先录制的视频交付模型在风险评估披露方面的有效性.
- 评估在披露后感知风险与估计风险的协调程度.
主要方法:
- 研究了663名女性的队列,她们有乳腺癌家族史,没有发现的致病变体.
- 乳腺密度和PRS被添加到所有参与者的基线风险评估中.
- 一项随机对照试验比较了中度/平均风险女性的面对面风险披露与视频风险披露.
主要成果:
- 乳腺密度和PRS重新分类了33%的参与者的风险类别;5%被重新分类为高风险.
- 在风险披露后,65%的女性的风险感知与他们的估计风险一致,比基线 (47%) 有所改善.
- 在分娩模型之间没有观察到癌症担忧的显著差异,尽管亲自分娩显示出略有更好的心理结果和满意度.
结论:
- 整合乳腺密度和PRS大大重新分类乳腺癌风险,可能导致一些妇女的监测降级.
- 个性化风险评估可以改善客观风险估计与主观感知之间的协调.
- 一个可扩展的,基于视频的风险评估模型对于中度和平均风险的妇女来说,与亲自分娩一样有效.
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