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在健康人体中用[18F]FECNT正电子发射断层显像(PET)定量多巴胺转运体密度

Quantification of dopamine transporter density with [18F]FECNT PET in healthy humans.

作者信息

Nye Jonathon A, Votaw John R, Bremner J Douglas, Davis Margaret R, Voll Ronald J, Camp Vernon M, Goodman Mark M

机构信息

Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA 30329.

Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA 30329; Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA 30322.

出版信息

Nucl Med Biol. 2014 Mar;41(3):217-22. doi: 10.1016/j.nucmedbio.2013.12.013. Epub 2013 Dec 26.

Abstract

INTRODUCTION

Fluorine-18 labeled 2β-carbomethoxy-3β-(4-chlorophenyl)-8-(2-fluoroethyl)nortropane ([(18)F]FECNT) binds reversibly to the dopamine transporter (DAT) with high selectivity. [(18)F]FECNT has been used extensively in the quantification of DAT occupancy in non-human primate brain and can distinguish between Parkinson's and healthy controls in humans. The purpose of this work was to develop a compartment model to characterize the kinetics of [(18)F]FECNT for quantification of DAT density in healthy human brain.

METHODS

Twelve healthy volunteers underwent 180 min dynamic [(18)F]FECNT PET imaging including sampling of arterial blood. Regional time-activity curves were extracted from the caudate, putamen and midbrain including a reference region placed in the cerebellum. Binding potential, BPND, was calculated for all regions using kinetic parameters estimated from compartmental and Logan graphical model fits to the time-activity data. Simulations were performed to determine whether the compartment model could reliably fit time-activity data over a range of BPND values.

RESULTS

The kinetics of [(18)F]FECNT were well-described by the reversible 2-tissue arterial input and full reference tissue compartment models. Calculated binding potentials in the caudate, putamen and midbrain were in good agreement between the arterial input model, reference tissue model and the Logan graphical model. The distribution volume in the cerebellum did not reach a plateau over the duration of the study, which may be a result of non-specific binding in the cerebellum. Simulations that included non-specific binding show that the reference and arterial input models are able to estimate BPND for DAT densities well below that observed in normal volunteers.

CONCLUSION

The kinetics of [(18)F]FECNT in human brain are well-described by arterial input and reference tissue compartment models. Measured and simulated data show that BPND calculated with reference tissue model is proportional to BPND calculated from the arterial input model.

摘要

引言

氟 - 18标记的2β - 甲氧羰基 - 3β - (4 - 氯苯基) - 8 - (2 - 氟乙基)去甲托烷([(18)F]FECNT)以高选择性与多巴胺转运体(DAT)可逆性结合。[(18)F]FECNT已广泛用于非人类灵长类动物脑内DAT占有率的定量分析,并且能够区分人类帕金森病患者和健康对照者。本研究的目的是建立一个房室模型来描述[(18)F]FECNT的动力学,以定量健康人脑内的DAT密度。

方法

12名健康志愿者接受了180分钟的动态[(18)F]FECNT正电子发射断层显像(PET),包括采集动脉血。从尾状核、壳核和中脑提取区域时间 - 活度曲线,包括置于小脑的一个参考区域。使用从房室模型和Logan图形模型拟合时间 - 活度数据估计的动力学参数,计算所有区域的结合势BPND。进行模拟以确定房室模型是否能在一系列BPND值范围内可靠地拟合时间 - 活度数据。

结果

[(18)F]FECNT的动力学可用可逆的双组织动脉输入和全参考组织房室模型很好地描述。动脉输入模型、参考组织模型和Logan图形模型计算的尾状核、壳核和中脑的结合势高度一致。在研究期间,小脑的分布容积未达到平台期,这可能是小脑非特异性结合的结果。包含非特异性结合的模拟显示,参考模型和动脉输入模型能够很好地估计远低于正常志愿者观察值的DAT密度的BPND。

结论

动脉输入和参考组织房室模型能很好地描述[(18)F]FECNT在人脑内的动力学。实测和模拟数据表明,参考组织模型计算的BPND与动脉输入模型计算的BPND成比例。

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