Assessment of a white matter reference region for 11C-UCB-J PET quantification

Samantha Rossano, T. Toyonaga, S. Finnema, M. Naganawa, Yihuan Lu, N. Nabulsi, J. Ropchan, S. De Bruyn, C. Otoul, A. Stockis, J. Nicolas, Paul Martin, J. Mercier, Yiyun Huang, R. P. Maguire, R. Carson
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引用次数: 74

Abstract

11C-UCB-J is a positron emission tomography (PET) radioligand that has been used in humans for synaptic vesicle glycoprotein 2A (SV2A) imaging and as a potential synaptic density marker. The centrum semiovale (CS) is a proposed reference region for noninvasive quantification of 11C-UCB-J, due to negligible concentrations of SV2A in this region in baboon brain assessed by in vitro methods. However, in displacement scans with SV2A-specific drug levetiracetam in humans, a decrease in 11C-UCB-J concentration was observed in the CS, consistent with some degree of specific binding. The current study aims to validate the CS as a reference region by (1) optimizing CS region of interest (ROI) to minimize spill-in from gray matter with high radioactivity concentrations; (2) investigating convergence of CS ROI values using ordered subset expectation maximization (OS-EM) reconstruction, and (3) comparing baseline CS volume of distribution (VT) to nondisplaceable uptake in gray matter, VND. Improving ROI definition and increasing OS-EM iterations during reconstruction decreased the difference between CS VT and VND. However, even with these corrections, CS VT overestimated VND by ∼35–40%. These measures showed significant correlation, suggesting that, though biased, the CS may be a useful estimate of nondisplaceable uptake, allowing for noninvasive quantification for SV2A PET.
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11C-UCB-J PET定量白质参考区评估
11C-UCB-J是一种正电子发射断层扫描(PET)放射配体,已用于人类突触囊泡糖蛋白2A (SV2A)成像,并作为潜在的突触密度标记物。由于体外方法评估狒狒大脑中该区域SV2A的浓度可忽略不计,因此建议将半谷中心区(CS)作为无创定量11C-UCB-J的参考区域。然而,在人类sv2a特异性药物左乙拉西坦的位移扫描中,观察到CS中11C-UCB-J浓度下降,与一定程度的特异性结合一致。本研究旨在通过以下方法验证CS作为参考区域的有效性:(1)优化CS感兴趣区域(ROI),以减少高放射性浓度灰质的溢出;(2)利用有序子集期望最大化(OS-EM)重建研究CS ROI值的收敛性;(3)比较基线CS分布体积(VT)与灰质不可置换摄取(VND)。改进ROI定义和增加重建过程中的OS-EM迭代可以降低CS VT和VND之间的差异。然而,即使有这些校正,CS VT高估了VND约35-40%。这些测量结果显示出显著的相关性,表明尽管存在偏差,CS可能是对不可置换摄取的有用估计,允许对SV2A PET进行无创量化。
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