Quantification of Dynamic 11C-Phenytoin PET Studies

Mansor, Mohd Syahir and Boellaard, Ronald and Froklage, Femke E. and Bakker, Esther D.M. and Yaqub, Maqsood and Voskuyl, Rob A. and Schwarte, Lothar A. and Verbeek, Joost and Windhorst, Albert D. and Lammertsma, Adriaan (2015) Quantification of Dynamic 11C-Phenytoin PET Studies. Journal of Nuclear Medicine, 56 (9). pp. 1327-1377. ISSN 0161-5505

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Abstract

The overexpression of P-glycoprotein (Pgp) is thought to be an important mechanism of pharmacoresistance in epilepsy. Recently, 11C-phenytoin has been evaluated preclinically as a tracer for Pgp. The aim of the present study was to assess the optimal plasma kinetic model for quantification of 11C-phenytoin studies in humans. Methods: Dynamic 11C-phenytoin PET scans of 6 healthy volunteers with arterial sampling were acquired twice on the same day and analyzed using single- and 2-tissue-compartment models with and without a blood volume parameter. Global and regional test– retest (TRT) variability was determined for both plasma to tissue rate constant (K1) and volume of distribution (VT). Results: According to the Akaike information criterion, the reversible single-tissue-compartment model with blood volume parameter was the preferred plasma input model. Mean TRT variability ranged from 1.5% to 16.9% for K1 and from 0.5% to 5.8% for VT. Larger volumes of interest showed better repeatabilities than smaller regions. A 45-min scan provided essentially the same K1 and VT values as a 60-min scan. Conclusion: A reversible single-tissue-compartment model with blood volume seems to be a good candidate model for quantification of dynamic 11C-phenytoin studies. Scan duration may be reduced to 45 min without notable loss of accuracy and precision of both K1 and VT, although this still needs to be confirmed under pathologic conditions.

Item Type:	Article
Subjects:	R Medicine > RM Therapeutics. Pharmacology > RM300-666 Drugs and their actions
Divisions:	Institut Perubatan & Pergigian Termaju (Advanced Medical & Dental Institute (AMDI)) > Article Zoom Profil Pakar (Expert Profile) > Mohd Syahir Mansor (Advanced Medical & Dental Institute)
Depositing User:	Administrator Automasi
Date Deposited:	20 Nov 2017 03:20
Last Modified:	20 Nov 2017 03:20
URI:	http://eprints.usm.my/id/eprint/37523

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