Literature DB >> 17928801

Comparison of plasma input and reference tissue models for analysing [(11)C]flumazenil studies.

Ursula M H Klumpers1, Dick J Veltman, Ronald Boellaard, Emile F Comans, Cassandra Zuketto, Maqsood Yaqub, Jurgen E M Mourik, Mark Lubberink, Witte J G Hoogendijk, Adriaan A Lammertsma.   

Abstract

A single-tissue compartment model with plasma input is the established method for analysing [(11)C]flumazenil ([(11)C]FMZ) studies. However, arterial cannulation and measurement of metabolites are time-consuming. Therefore, a reference tissue approach is appealing, but this approach has not been fully validated for [(11)C]FMZ. Dynamic [(11)C]FMZ positron emission tomography scans with arterial blood sampling were performed in nine drug-free depressive patients and eight healthy subjects. Regions of interest were defined on co-registered magnetic resonance imaging scans and projected onto dynamic [(11)C]FMZ images. Using a Hill-type metabolite function, single (1T) and reversible two-tissue (2T) compartmental models were compared. Simplified reference tissue model (SRTM) and full reference tissue model (FRTM) were investigated using both pons and (centrum semiovale) white matter as reference tissue. The 2T model provided the best fit in 59% of cases. Two-tissue V(T) values were on average 1.6% higher than 1T V(T) values. Owing to the higher rejection rate of 2T fits (7.3%), the 1T model was selected as plasma input method of choice. SRTM was superior to FRTM, irrespective whether pons or white matter was used as reference tissue. BP(ND) values obtained with SRTM correlated strongly with 1T V(T) (r=0.998 and 0.995 for pons and white matter, respectively). Use of white matter as reference tissue resulted in 5.5% rejected fits, primarily in areas with intermediate receptor density. No fits were rejected using pons as reference tissue. Pons produced 23% higher BP(ND) values than white matter. In conclusion, for most clinical studies, SRTM with pons as reference tissue can be used for quantifying [(11)C]FMZ binding.

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Year:  2007        PMID: 17928801     DOI: 10.1038/sj.jcbfm.9600554

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


  31 in total

Review 1.  Plasma radiometabolite correction in dynamic PET studies: Insights on the available modeling approaches.

Authors:  Matteo Tonietto; Gaia Rizzo; Mattia Veronese; Masahiro Fujita; Sami S Zoghbi; Paolo Zanotti-Fregonara; Alessandra Bertoldo
Journal:  J Cereb Blood Flow Metab       Date:  2015-10-14       Impact factor: 6.200

2.  QModeling: a Multiplatform, Easy-to-Use and Open-Source Toolbox for PET Kinetic Analysis.

Authors:  Francisco J López-González; José Paredes-Pacheco; Karl Thurnhofer-Hemsi; Carlos Rossi; Manuel Enciso; Daniel Toro-Flores; Belén Murcia-Casas; Antonio L Gutiérrez-Cardo; Núria Roé-Vellvé
Journal:  Neuroinformatics       Date:  2019-01

3.  External awareness and GABA--a multimodal imaging study combining fMRI and [18F]flumazenil-PET.

Authors:  Christine Wiebking; Niall W Duncan; Pengmin Qin; Dave J Hayes; Oliver Lyttelton; Paul Gravel; Jeroen Verhaeghe; Alexey P Kostikov; Ralf Schirrmacher; Andrew J Reader; Malek Bajbouj; Georg Northoff
Journal:  Hum Brain Mapp       Date:  2012-09-21       Impact factor: 5.038

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Authors:  Floris H P van Velden; Syahir M Mansor; Daniëlle M E van Assema; Bart N M van Berckel; Femke E Froklage; Shaonan Wang; Robert C Schuit; Marie-Claude Asselin; Adriaan A Lammertsma; Ronald Boellaard; Marc C Huisman
Journal:  Mol Imaging Biol       Date:  2015-02       Impact factor: 3.488

5.  GABAA Receptors in the Mongolian Gerbil: a PET Study Using [18F]Flumazenil to Determine Receptor Binding in Young and Old Animals.

Authors:  M Kessler; M Mamach; R Beutelmann; M Lukacevic; S Eilert; P Bascuñana; A Fasel; F M Bengel; J P Bankstahl; T L Ross; G M Klump; G Berding
Journal:  Mol Imaging Biol       Date:  2020-04       Impact factor: 3.488

6.  Reduced binding potential of GABA-A/benzodiazepine receptors in individuals at ultra-high risk for psychosis: an [18F]-fluoroflumazenil positron emission tomography study.

Authors:  Jee In Kang; Hae-Jeong Park; Se Joo Kim; Kyung Ran Kim; Su Young Lee; Eun Lee; Suk Kyoon An; Jun Soo Kwon; Jong Doo Lee
Journal:  Schizophr Bull       Date:  2013-04-15       Impact factor: 9.306

7.  Quantification of [11C]Ro15-4513 GABAAα5 specific binding and regional selectivity in humans.

Authors:  Jim Fm Myers; Robert A Comley; Roger N Gunn
Journal:  J Cereb Blood Flow Metab       Date:  2016-01-01       Impact factor: 6.200

8.  Nicotine and Nicotine Abstinence Do Not Interfere with GABAA Receptor Neuroadaptations During Alcohol Abstinence.

Authors:  Ansel T Hillmer; Tracy Kloczynski; Christine M Sandiego; Brian Pittman; Jon M Anderson; David Labaree; Hong Gao; Yiyun Huang; Giuseppe Deluliis; Stephanie S O'Malley; Richard E Carson; Kelly P Cosgrove
Journal:  Alcohol Clin Exp Res       Date:  2016-03-12       Impact factor: 3.455

9.  Kinetic modelling of [11C]flumazenil using data-driven methods.

Authors:  Isabelle Miederer; Sibylle I Ziegler; Christoph Liedtke; Mary E Spilker; Matthias Miederer; Till Sprenger; Klaus J Wagner; Alexander Drzezga; Henning Boecker
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-11-29       Impact factor: 9.236

10.  Effect of subthalamic nucleus stimulation during exercise on the mesolimbocortical dopaminergic region in Parkinson's disease: a positron emission tomography study.

Authors:  Takao Nozaki; Kenji Sugiyama; Shunsuke Yagi; Etsuji Yoshikawa; Toshihiko Kanno; Tetsuya Asakawa; Tae Ito; Tatsuhiro Terada; Hiroki Namba; Yasuomi Ouchi
Journal:  J Cereb Blood Flow Metab       Date:  2012-12-05       Impact factor: 6.200

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