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使用全身EXPLORER PET进行F-florbetaben的非侵入性量化

Emily Nicole Holy^1,2, Elizabeth Li³, Anjan Bhattarai^4,3

¹Department of Neurology, University of California (UC) Davis Health, 1590 Drew Avenue, Davis, CA, 95618, USA. enholy@ucdavis.edu.

EJNMMI research

|April 16, 2024

概括

这项研究表明,使用18F-florbetaben进行全身PET扫描,可以使用从大动脉获得的图像导出输入函数进行大脑粉样蛋白沉积的非侵入性量化. 这种方法提供了可靠的结果,与传统方法相美.

科学领域:

核医学是一种核医学.
神经成像是一种神经成像.
生物物理学的生物物理.

背景情况:

使用18F-florbetaben对大脑粉样沉积的定量PET成像是至关重要的,但通常需要侵入性动脉血液采样.
全身PET扫描仪可实现动态全身数据采集,促进非侵入性方法.

研究的目的:

用动力建模与18F-florbetaben PET和来自大动脉的图像衍生输入函数 (IDIFs) 来量化大脑粉样蛋白负担.
评估老年人队伍中非侵入性粉样蛋白量化的可行性和可靠性.

主要方法:

动态18F-florbetabenPET成像是在EXPLORER全身PET扫描仪上进行的.
来自图像的输入函数 (IDIF) 从下降的大动脉中提取出来.
动力建模 (双组织区模型) 和多参考组织模型用于计算分布体积 (VT,Vs) 和结合潜力 (BPND).

主要成果:

粉样蛋白阳性个体在与粉样蛋白积累相关的关键大脑区域表现出更高的VT和VS.
在动力模型参数和BPND之间发现了显著的相关性,特别是在粉样蛋白阳性参与者中.
从双组织区模型中获得的VT显示与洛根图形估计有很高的相关性.

结论:

使用全身18F-florbetaben PET和大动脉IDIFs进行非侵入性量化粉样蛋白结合是可行的.
该研究表明动态分布体积参数和BPND之间存在很高的一致性,支持其在粉样蛋白阳性和阴性个体中的临床实用性.

关键词:

18F-花可以变得更好.阿尔茨海默氏症是阿尔茨海默氏症的疾病动力建模,图像衍生输入函数的动力建模.身体总体探索者 PET 这是一种β-氨基化物.

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