Literature DB >> 17311080

Evaluation of methods for generating parametric (R-[11C]PK11195 binding images.

Alie Schuitemaker1, Bart N M van Berckel, Marc A Kropholler, Reina W Kloet, Cees Jonker, Philip Scheltens, Adriaan A Lammertsma, Ronald Boellaard.   

Abstract

Activated microglia can be visualised using (R)-[(11)C]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)-[(11)C]PK11195 binding. The purpose of this study was to determine which parametric method would be best suited for quantifying (R)-[(11)C]PK11195 binding at the voxel level. Dynamic (R)-[(11)C]PK11195 scans with arterial blood sampling were performed in 20 healthy and 9 Alzheimer's disease subjects. Parametric images of both volume of distribution (V(d)) 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 V(d). 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.

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Year:  2007        PMID: 17311080     DOI: 10.1038/sj.jcbfm.9600459

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  17 in total

1.  Image-derived input functions for PET brain studies.

Authors:  Jurgen E M Mourik; Mark Lubberink; Alie Schuitemaker; Nelleke Tolboom; Bart N M van Berckel; Adriaan A Lammertsma; Ronald Boellaard
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-11-22       Impact factor: 9.236

2.  Robust fitting of [11C]-WAY-100635 PET data.

Authors:  Francesca Zanderigo; Robert Todd Ogden; Chung Chang; Stephen Choy; Andrew Wong; Ramin Vaziri Parsey
Journal:  J Cereb Blood Flow Metab       Date:  2010-02-24       Impact factor: 6.200

3.  Empirical Bayesian estimation in graphical analysis: a voxel-based approach for the determination of the volume of distribution in PET studies.

Authors:  Francesca Zanderigo; R Todd Ogden; Alessandra Bertoldo; Claudio Cobelli; J John Mann; Ramin V Parsey
Journal:  Nucl Med Biol       Date:  2010-04-07       Impact factor: 2.408

Review 4.  In vivo PET imaging of neuroinflammation in Alzheimer's disease.

Authors:  Julien Lagarde; Marie Sarazin; Michel Bottlaender
Journal:  J Neural Transm (Vienna)       Date:  2017-05-17       Impact factor: 3.575

Review 5.  Nuclear imaging of neuroinflammation: a comprehensive review of [11C]PK11195 challengers.

Authors:  Fabien Chauveau; Hervé Boutin; Nadja Van Camp; Frédéric Dollé; Bertrand Tavitian
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-10-01       Impact factor: 9.236

6.  Parametric renal blood flow imaging using [15O]H2O and PET.

Authors:  Nobuyuki Kudomi; Niina Koivuviita; Kaisa E Liukko; Vesa J Oikonen; Tuula Tolvanen; Hidehiro Iida; Risto Tertti; Kaj Metsärinne; Patricia Iozzo; Pirjo Nuutila
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-12-03       Impact factor: 9.236

7.  Quantification of (R)-[11C]PK11195 binding in rheumatoid arthritis.

Authors:  M A Kropholler; R Boellaard; E H Elzinga; C J van der Laken; K Maruyama; R W Kloet; A E Voskuyl; B A C Dijkmans; A A Lammertsma
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-11-29       Impact factor: 9.236

8.  Initial evaluation of 11C-DPA-713, a novel TSPO PET ligand, in humans.

Authors:  Christopher J Endres; Martin G Pomper; Michelle James; Ovsev Uzuner; Dima A Hammoud; Crystal C Watkins; Aaron Reynolds; John Hilton; Robert F Dannals; Michael Kassiou
Journal:  J Nucl Med       Date:  2009-07-17       Impact factor: 10.057

9.  A regularized full reference tissue model for PET neuroreceptor mapping.

Authors:  Joseph B Mandeville; Christin Y M Sander; Hsiao-Ying Wey; Jacob M Hooker; Hanne D Hansen; Claus Svarer; Gitte M Knudsen; Bruce R Rosen
Journal:  Neuroimage       Date:  2016-06-27       Impact factor: 6.556

10.  Rapid quantitative CBF and CMRO(2) measurements from a single PET scan with sequential administration of dual (15)O-labeled tracers.

Authors:  Nobuyuki Kudomi; Yoshiyuki Hirano; Kazuhiro Koshino; Takuya Hayashi; Hiroshi Watabe; Kazuhito Fukushima; Hiroshi Moriwaki; Noboru Teramoto; Koji Iihara; Hidehiro Iida
Journal:  J Cereb Blood Flow Metab       Date:  2012-12-12       Impact factor: 6.200

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