Omission of serial arterial blood sampling in neuroreceptor imaging with independent component analysis
Omission of serial arterial blood sampling in neuroreceptor imaging with independent component analysis
复制标题
DOI：
10.1016/j.neuroimage.2005.02.025
复制
发表时间：
2005-07-01
期刊：
影响因子：
5.7
通讯作者：
Ishiwata, K
中科院分区：
文献类型：
--
作者：
Naganawa, M;Kimura, Y;Ishiwata, K
我们之前提出了一种从动态 PET 图像中提取血浆时间-活动曲线（pTAC）的统计方法，称为 EPICA，用于脑葡萄糖代谢的动力学分析。我们假设动态 PET 图像由血液相关成分和组织相关成分组成，它们在统计意义上是空间独立的。本研究的目的是研究 EPICA 在神经感受器图谱研究中使用洛根图对总分布体积 (DVt) 和结合电位 (BP) 进行成像的效用。我们将 EPICA 应用到 25 名受试者（包括健康受试者和脑部疾病患者）的动态 [C-11]MPDX PET 图像，并验证了估计的 pTAC。 [C-11]MPDX 是一种新开发的放射性药物，用于绘制脑腺苷 A1 受体图谱。 EPICA 成功提取了所有 25 名受试者的 pTAC。通过应用洛根图和 EPICA 估计的 pTAC 来估计 DVt 的参数图像，然后用于定义参考区域。通过基于 ROI 的比较，对 18 名受试者使用 EPICA 估计的 BP 进行了评估，并与使用非线性最小二乘法 (NLSM) 获得的 BP 进行了比较。计算出的 BP 与每个受试者使用 NLSM 的估计值相同。我们得出的结论是，EPICA 是一种很有前途的技术，可以在神经感受器映射中生成 DVt 和 BP 参数图像，而无需动脉血采样。 (c) 2005 Elsevier Inc. 保留所有权利。
We have previously proposed a statistical method for extracting a plasma time-activity curve (pTAC) from dynamic PET images, named EPICA, for kinetic analysis of cerebral glucose metabolism. We assumed that the dynamic PET images consist of a blood-related component and a tissue-related component which are spatially independent in a statistical sense. The aim of this study is to investigate the utility of EPICA in imaging total distribution volume (DVt) and binding potential (BP) with Logan plots in a neuroreceptor mapping study. We applied EPICA to dynamic [C-11]MPDX PET images in 25 subjects, including healthy subjects and patients with brain diseases, and validated the estimated pTACs. [C-11]MPDX is a newly developed radiopharmaceutical for mapping cerebral adenosine A, receptors. EPICA successfully extracted pTAC for all 25 subjects. Parametric images of DVts were estimated by applying Logan plots with the EPICA-estimated pTAC and then used to define a reference region. The BPs estimated using EPICA were evaluated in 18 subjects by ROI-based comparison with those obtained using the nonlinear least squares method (NLSM). The calculated BPs were identical to the estimates using NLSM in each subject. We conclude that EPICA is a promising technique that generates parametric images of DVt and BP in neuroreceptor mapping without requiring arterial blood sampling. (c) 2005 Elsevier Inc. All rights reserved.