Name
Title | ||
|---|---|---|
A new graphic plot analysis for determination of neuroreceptor binding in positron emission tomography studies. |
Abstract | ||
|---|---|---|
In positron emission tomography (PET) studies with radioligands for neuroreceptors, tracer kinetics have been described by the standard two-tissue compartment model that includes the compartments of nondisplaceable binding and specific binding to receptors. In the present study, we have developed a new graphic plot analysis to determine the total distribution volume (VT) and nondisplaceable distribution volume (VND) independently, and therefore the binding potential (BPND). In this plot, Y(t) is the ratio of brain tissue activity to time-integrated arterial input function, and X(t) is the ratio of time-integrated brain tissue activity to time-integrated arterial input function. The x-intercept of linear regression of the plots for early phase represents VND, and the x-intercept of linear regression of the plots for delayed phase after the equilibrium time represents VT. BPND can be calculated by BPND=VT/VND−1. Dynamic PET scanning with measurement of arterial input function was performed on six healthy men after intravenous rapid bolus injection of [11C]FLB457. The plot yielded a curve in regions with specific binding while it yielded a straight line through all plot data in regions with no specific binding. VND, VT, and BPND values calculated by the present method were in good agreement with those by conventional non-linear least-squares fitting procedure. This method can be used to distinguish graphically whether the radioligand binding includes specific binding or not. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.neuroimage.2009.07.021 | NeuroImage |
Keywords | Field | DocType |
binding potential,linear regression,compartment model,kinetics | Nuclear medicine,Radioligand,Psychology,Cognitive psychology,Arterial input function,Positron emission tomography,Brain chemistry,Nuclear magnetic resonance,Distribution Volume,Binding potential,Linear regression,Brain tissue | Journal |
Volume | Issue | ISSN |
49 | 1 | 1053-8119 |
Citations | PageRank | References |
1 | 0.38 | 2 |
Authors | ||
11 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hiroshi Ito | 1 | 39 | 6.09 |
| Takashi Yokoi | 2 | 9 | 1.43 |
| Yoko Ikoma | 3 | 3 | 2.06 |
| Miho Shidahara | 4 | 14 | 3.24 |
| Chie Seki | 5 | 1 | 0.38 |
| Mika Naganawa | 6 | 41 | 8.49 |
| Hidehiko Takahashi | 7 | 22 | 5.51 |
| Harumasa Takano | 8 | 7 | 3.30 |
| Yuichi Kimura | 9 | 51 | 14.32 |
| Masanori Ichise | 10 | 2 | 2.36 |
| Tetsuya Suhara | 11 | 1 | 0.38 |