TY - JOUR
T1 - Evaluation of methods for generating parametric (R)-[11C]PK11195 binding images
AU - Schuitemaker, Alie
AU - Van Berckel, Bart N M
AU - Kropholler, Marc A.
AU - Kloet, Reina W.
AU - Jonker, Cees
AU - Scheltens, Philip
AU - Lammertsma, Adriaan A.
AU - Boellaard, Ronald
PY - 2007/9/7
Y1 - 2007/9/7
N2 - Activated microglia can be visualised using (R)-[11C]PK11195 (1-[2-chlorophenyl]-N-methyl-N-[1-methyl-propyl]-3-isoquinoline carboxamide) and positron emission tomography (PET). In previous studies, various methods have been used to quantify (R)-[11C]PK11195 binding. The purpose of this study was to determine which parametric method would be best suited for quantifying (R)-[11C]PK11195 binding at the voxel level. Dynamic (R)-[11C]PK11195 scans with arterial blood sampling were performed in 20 healthy and 9 Alzheimer's disease subjects. Parametric images of both volume of distribution (Vd) and binding potential (BP) were obtained using Logan graphical analysis with plasma input. In addition, BP images were generated using two versions of the basis function implementation of the simplified reference tissue model, two versions of Ichise linearisations, and Logan graphical analysis with reference tissue input. Results of the parametric methods were compared with results of full compartmental analysis using nonlinear regression. Simulations were performed to assess accuracy and precision of each method. It was concluded that Logan graphical analysis with arterial input function is an accurate method for generating parametric images of Vd. Basis function methods, one of the Ichise linearisations and Logan graphical analysis with reference tissue input provided reasonably accurate and precise estimates of BP. In pathological conditions with reduced flow rates or large variations in blood volume, the basis function method is preferred because it produces less bias and is more precise.
AB - Activated microglia can be visualised using (R)-[11C]PK11195 (1-[2-chlorophenyl]-N-methyl-N-[1-methyl-propyl]-3-isoquinoline carboxamide) and positron emission tomography (PET). In previous studies, various methods have been used to quantify (R)-[11C]PK11195 binding. The purpose of this study was to determine which parametric method would be best suited for quantifying (R)-[11C]PK11195 binding at the voxel level. Dynamic (R)-[11C]PK11195 scans with arterial blood sampling were performed in 20 healthy and 9 Alzheimer's disease subjects. Parametric images of both volume of distribution (Vd) and binding potential (BP) were obtained using Logan graphical analysis with plasma input. In addition, BP images were generated using two versions of the basis function implementation of the simplified reference tissue model, two versions of Ichise linearisations, and Logan graphical analysis with reference tissue input. Results of the parametric methods were compared with results of full compartmental analysis using nonlinear regression. Simulations were performed to assess accuracy and precision of each method. It was concluded that Logan graphical analysis with arterial input function is an accurate method for generating parametric images of Vd. Basis function methods, one of the Ichise linearisations and Logan graphical analysis with reference tissue input provided reasonably accurate and precise estimates of BP. In pathological conditions with reduced flow rates or large variations in blood volume, the basis function method is preferred because it produces less bias and is more precise.
KW - Benzodiazepine
KW - Benzodiazepine receptor subtypes
KW - Compartmental models
KW - PET
KW - Parametric
KW - Radiotracers
UR - http://www.scopus.com/inward/record.url?scp=34548128831&partnerID=8YFLogxK
U2 - https://doi.org/10.1038/sj.jcbfm.9600459
DO - https://doi.org/10.1038/sj.jcbfm.9600459
M3 - Article
C2 - 17311080
SN - 0271-678X
VL - 27
SP - 1603
EP - 1615
JO - Journal of cerebral blood flow and metabolism
JF - Journal of cerebral blood flow and metabolism
IS - 9
ER -