对于乳腺异型症妇女的风险评估工具:系统性审查
Tori C Nierenberg1, Juliet C Dalton1, Rylan Howell2
1Department of Surgery, Duke University Medical Center, Durham, NC, USA.
American journal of surgery
|September 9, 2025
概括
目前的乳腺癌风险评估工具对乳腺异常患者的表现不佳. 需要新的,量身定制的模型来准确预测这一亚组的癌症风险.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 生物统计学 生物统计学
背景情况:
- 乳腺形是通过皮肤活检诊断的良性乳腺疾病.
- 它与患乳腺癌的风险增加有关.
- 现有的风险评估工具显示,乳腺异常女性的表现不一致.
研究的目的:
- 系统地审查现有的风险评估工具,用于被诊断为乳腺异型症的妇女.
- 评估当前模型的性能和确定当前模型的局限性.
- 为未来的发展提供信息,更准确的风险预测模型.
主要方法:
- 针对2023年11月13日之前发表的研究,在三个数据库中进行了系统的文献搜索.
- 研究的重点是开发或验证乳腺形患者的风险评估工具.
- 使用PROBAST工具来评估包含的研究的偏差风险和适用性.
主要成果:
- 包括12项研究,主要是美国的,平均样本大小为540个.
- 像盖尔模型 (C指数0.5) 和泰勒-库兹克模型 (0.49-0.54) 等已建立的模型表明预测性能不佳.
- 新的模型显示了更好的校准 (0.59-0.68),但41.6%的研究具有高偏差风险.
结论:
- 目前的乳腺癌风险评估工具对于乳腺非典型的女性来说是不够的.
- 对于针对这一患者群体量身定制的新型,人群特异性风险模型有着至关重要的需求.
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