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A Modified Simplified Reference Tissue Model for the Quantification of Dopamine D2/3 Receptors with [18F]Fallypride Images

Moulin-Sallanon, Marcelle
Published in Molecular Imaging. 2014, vol. 13, no. 8, p. 1535-1549
Abstract AbstractDefluorination of [18F]fallypride and accumulation of 18F in skull and glands leads to the contamination of brain structures with spillover activity due to partial volume effects, leading to considerable errors in binding potential estimations. Here we propose a modification of the simplified reference tissue model (SRTM) to take into account the contribution of skull activity to the radioactivity kinetic pattern in cerebellum and target regions. It consists of the introduction of an additional parameter for each volume of interest (sT) and one for the cerebellum (sR), corresponding to the fraction of skull activity contaminating these structures. Using five rat positron emission tomography experiments, we applied the modified SRTM (SRTMc), which resulted in excellent fits. As a relative means of comparison of results, we applied factor analysis (FA) to decompose dynamic data into images corresponding to brain and skull activity. With the skull factor images, we estimated the "true" sT and sR values, ultimately permitting us to fix the sR value. Parameters obtained with the SRTMc were closely correlated with values obtained from FA-corrected data. In conclusion, we propose an efficient method for reliable quantification of dopamine D2/3 receptors with single-injection [18F]fallypride scans that is potentially applicable to human studies where 18F skull accumulation compromises binding parameter estimation.
PMID: 25248453
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Research groups Groupe Giannakopoulos Panteleimon (psychiatrie générale) (201)
Neuroimagerie moléculaire en psychiatrie (983)
Imagerie de la transmission dopaminergique dans les troubles addictifs (989)
Project FNS: 310030_120369
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TSARTSALIS, Stergios et al. A Modified Simplified Reference Tissue Model for the Quantification of Dopamine D2/3 Receptors with [18F]Fallypride Images. In: Molecular Imaging, 2014, vol. 13, n° 8, p. 1535-1549. https://archive-ouverte.unige.ch/unige:41687

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Deposited on : 2014-11-11

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