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 (V(T)) and nondisplaceable distribution volume (V(ND)) independently, and therefore the binding potential (BP(ND)). 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 V(ND), and the x-intercept of linear regression of the plots for delayed phase after the equilibrium time represents V(T). BP(ND) can be calculated by BP(ND)=V(T)/V(ND)-1. Dynamic PET scanning with measurement of arterial input function was performed on six healthy men after intravenous rapid bolus injection of [(11)C]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. V(ND), V(T), and BP(ND) 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.
authors.affiliation: Clinical Neuroimaging Team, Molecular Neuroimaging Group, Molecular Imaging Center, National Institute of Radiological Sciences, 4-9-1 Anagawa, Inage-ku, Chiba, Japan. hito@nirs.go.jp
authors.forename: Hiroshi
authors.initials: H
authors.lastname: Ito
authors.forename: Takashi
authors.initials: T
authors.lastname: Yokoi
authors.forename: Yoko
authors.initials: Y
authors.lastname: Ikoma
authors.forename: Miho
authors.initials: M
authors.lastname: Shidahara
authors.forename: Chie
authors.initials: C
authors.lastname: Seki
authors.forename: Mika
authors.initials: M
authors.lastname: Naganawa
authors.forename: Hidehiko
authors.initials: H
authors.lastname: Takahashi
authors.forename: Harumasa
authors.initials: H
authors.lastname: Takano
authors.forename: Yuichi
authors.initials: Y
authors.lastname: Kimura
authors.forename: Masanori
authors.initials: M
authors.lastname: Ichise
authors.forename: Tetsuya
authors.initials: T
authors.lastname: Suhara
mesh_terms: D000328:Adult; D000465:Algorithms; D001921:Brain / Q000000981:diagnostic imaging / Q000502:physiology*; D001923:Brain Chemistry / Q000502:physiology; D003198:Computer Simulation; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007700:Kinetics; D016018:Least-Squares Analysis; D008024:Ligands; D016014:Linear Models; D008297:Male; D049268:Positron-Emission Tomography; D019275:Radiopharmaceuticals; D017448:Receptors, Dopamine D2 / Q000378:metabolism; D011984:Sensory Receptor Cells / Q000000981:diagnostic imaging* / Q000378:metabolism; D055815:Young Adult
chemical_list: D008024:Ligands; D019275:Radiopharmaceuticals; D017448:Receptors, Dopamine D2