Suzuki Atsuro, Tashiro Manabu, Kimura Yuichi, Mochizuki Hideki, Ishii Kenji, Watabe Hiroshi, Yanai Kazuhiko, Ishiwata Kiichi, Ishii Keizo
Department of Quantum Science and Energy Engineering, Tohoku University, Sendai, Japan.
Ann Nucl Med. 2005 Sep;19(6):425-33. doi: 10.1007/BF02985569.
The aim of the present study is to evaluate the validity of the simplified reference tissue model (SRTM) and of Logan graphical analysis with reference tissue (LGAR) for quantification of histamine H1 receptors (H1Rs) by using positron emission tomography (PET) with [11C]doxepin. These model-based analytic methods (SRTM and LGAR) are compared to Logan graphical analysis (LGA) and to the one-tissue model (1TM), using complete datasets obtained from 5 healthy volunteers. Since HIR concentration in the cerebellum can be regarded as negligibly small, the cerebellum was selected as the reference tissue in the present study. The comparison of binding potential (BP) values estimated by LGAR and 1TM showed good agreement; on the other hand, SRTM turned out to be unstable concerning parameter estimation in several regions of the brain. By including the results of noise analysis, LGAR became a reliable method for parameter estimation of [11C]doxepin data in the cortical regions.
本研究的目的是通过使用[11C]多塞平正电子发射断层扫描(PET)评估简化参考组织模型(SRTM)和基于参考组织的洛根图形分析(LGAR)对组胺H1受体(H1R)进行定量分析的有效性。将这些基于模型的分析方法(SRTM和LGAR)与洛根图形分析(LGA)和单组织模型(1TM)进行比较,使用从5名健康志愿者获得的完整数据集。由于小脑内H1R浓度可视为极小,本研究选择小脑作为参考组织。LGAR和1TM估计的结合潜能(BP)值比较显示出良好的一致性;另一方面,SRTM在脑的几个区域进行参数估计时结果不稳定。通过纳入噪声分析结果,LGAR成为了皮质区域[11C]多塞平数据参数估计的可靠方法。