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使用双放射性核素单光子发射计算机断层扫描追踪移植细胞。

Tracking transplanted cells using dual-radionuclide SPECT.

作者信息

Stodilka Robert Z, Blackwood Kimberly J, Prato Frank S

机构信息

Imaging Program, Lawson Health Research Institute, London, Ontario, Canada.

出版信息

Phys Med Biol. 2006 May 21;51(10):2619-32. doi: 10.1088/0031-9155/51/10/017. Epub 2006 May 4.

DOI:10.1088/0031-9155/51/10/017
PMID:16675873
Abstract

The purpose of this study was to characterize the performance of single photon emission computed tomography (SPECT) in tasks associated with tracking transplanted cells. Previous studies identified matters of hardware design, whereas we focus on biological variables impacting system performance, such as cell colony growth and non-specific radiolabelling. Using experimental data, a digital phantom was developed of in vitro 111In-radiolabelled stem cells, transfected with a reporter gene, transplanted into canine infarcted myocardium and interrogated using a peripherally injected 131I-radiolabelled reporter probe. Single- and dual-head SPECT acquisition was simulated. Performance was characterized using an estimation task, where the precision of parameter estimates (111In and 131I radiolabel quantity, cell colony size and location, and background) was tracked as the phantom evolved to simulate 111In-label efflux, cell colony growth and improved reporter probe specificity. In vitro pre-labelling of transplanted cells improved precision of parameter estimates via a priori size and location information. Precision of radiolabel quantity estimates improved with cell colony growth, despite 111In radiolabel dilution; size and location parameters were influenced little. Precision of radiolabel quantity estimates improved with reduced reporter probe non-specific uptake. The performance of SPECT in cell tracking is influenced strongly by biological variables. These should be considered when planning experiments or developing SPECT technology for cell tracking.

摘要

本研究的目的是描述单光子发射计算机断层扫描(SPECT)在与追踪移植细胞相关任务中的性能。先前的研究确定了硬件设计方面的问题,而我们关注的是影响系统性能的生物学变量,如细胞集落生长和非特异性放射性标记。利用实验数据,开发了一个数字模型,模拟体外111In放射性标记的干细胞,转染了报告基因,移植到犬梗死心肌中,并使用外周注射的131I放射性标记的报告探针进行检测。模拟了单头和双头SPECT采集。使用估计任务来表征性能,在该任务中,随着模型的演化以模拟111In标记流出、细胞集落生长和提高报告探针特异性,跟踪参数估计值(111In和131I放射性标记量、细胞集落大小和位置以及背景)的精度。移植细胞的体外预标记通过先验的大小和位置信息提高了参数估计的精度。尽管111In放射性标记稀释,但随着细胞集落生长,放射性标记量估计的精度提高;大小和位置参数受影响较小。随着报告探针非特异性摄取的减少,放射性标记量估计的精度提高。SPECT在细胞追踪中的性能受到生物学变量的强烈影响。在规划实验或开发用于细胞追踪的SPECT技术时应考虑这些因素。

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