我应该在哪里划出界限:以PET驱动,数据驱动,还是制造商的切断?
Antonio Sánchez-Soblechero1, Sara López-García2,3,4, Carmen Lage2,3,4
1Neurology Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Journal of Alzheimer's disease : JAD
|March 15, 2024
概括
使用粉胺PET建立最佳的阿尔茨海默病 (AD) 脑脊液 (CSF) 生物标志物切断点,提高了分类准确性. 用PET驱动的切断线与制造商标准紧密结合,在症状患者中表现优于数据驱动的值.
科学领域:
- 神经学 神经学
- 生物化学 生物化学
- 医疗成像医学成像
背景情况:
- 目前正在讨论阿尔茨海默病 (AD) 脑脊液 (CSF) 生物标志物的最佳切断值.
- 标准化的切线对于准确的诊断和患者分层至关重要.
研究的目的:
- 评估三种不同的截止标准化方法对阿尔茨海默病中CSF生物标志物的性能.
- 为了比较CSF生物标志物和粉样质正子电子发射断层扫描 (a-PET) 之间的协议,使用这些不同的切断线.
- 分析这些切断对粉样蛋白-陶氏体-神经退行 (ATN) 分类的影响.
主要方法:
- 通过使用LUMIPULSE G600II平台测量了CSF生物标志物 (Aβ1-42,pTau,tTau,Aβ1-42/Aβ1-40比率).
- 粉样蛋白PET (a-PET) 成像用于定性可视化.
- 使用三种方法确定了切线:以PET驱动 (优化与a-PET达成协议),以数据驱动 (使用健康队列),以及制造商提供的.
- 使用接收器操作特征 (ROC) 曲线来确定PET驱动的切线.
- 根据a-PET和临床诊断评估了同意的敏感性,特异性和总体百分比.
主要成果:
- 招募了110名患者,其中60%的测试结果为粉样蛋白PET阳性.
- 以PET为驱动的切线被确定为pTau>57,tTau>362.62,以及Aβ1-42/Aβ1-40<0.069.
- 酸 (pTau) 作为单一生物标志物显示了最高的准确性 (AUC 0.926).
- 与制造商的切断线 (2名患者) 相比,PET驱动的切断线导致患者分类的最小变化.
- 数据驱动的切断线导致了18%的患者 (20名患者) 的显著分类变化.
结论:
- 已建立的PET驱动的CSF生物标记切断值,与a-PET进行验证,可以更好地对症状个体进行分类.
- 这些PET驱动的切线与制造商提供的切线具有很大的相似性.
- 与PET驱动或制造商驱动的切断相比,数据驱动的切断导致了ATN分类中的更显著的转变.
关键词:
11C - 匹兹堡化合物 B 化合物在ATN分类的ATN分类.阿尔茨海默氏症是阿尔茨海默氏症的一种疾病.使用PET驱动的切断界限.氨基胺正子辐射断层扫描 (a-PET)大脑脊髓液的生物标志物 (tTau,pTau,Aβ142和Aβ142/Aβ140) 已经被发现.这是一个切断界线.数据驱动的切断界限.更多相关视频
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