15th Triennial World Congress of the International Federation of Automatic Control
  Barcelona, 21–26 July 2002 
KINETIC MODELLING OF NICOTINIC ACETYLCHOLINE RECEPTORS WITH 5-[123I]-IODO-A-85380 AND DYNAMIC SINGLE-PHOTON EMISSION COMPUTED TOMOGRAPHY
Koon-Pong Wong*,** Stefan Eberl* David D. Feng**,***
Michael Kassiou*,**** Michael J. Fulham*,†
* Department of PET and Nuclear Medicine
Royal Prince Alfred Hospital, NSW 2050, Sydney, Australia
** School of Information Technologies
The University of Sydney, NSW 2006, Sydney, Australia
*** Department of Electronic and Information Engineering
The Hong Kong Polytechnic University, Hong Kong
**** Department of Pharmacology
The University of Sydney, NSW 2006, Sydney, Australia
Faculty of Medicine
The University of Sydney, NSW 2006, Sydney, Australia

Kinetic modelling of nicotinic acetylcholine receptors with 5-[123I]-iodo-A-85380 and dynamic single-photon emission omputed tomography Koon-Pong Wong, Stefan Eberl, David D. Feng, Michael Kassiou, Michael J. Fulham 5-[123I]-iodo-A-85380 is a novel radioligand for brain nicotinic acetylcholine receptors (nAChRs), having demonstrated high specific binding to nAChRs and favourable properties for in vivo imaging. The purpose of this study was to evaluate different tracer kinetic modelling strategies for the quantification of regional nAChR binding in baboon brain using dynamic single-photon emission computed tomography (SPECT). Imaging studies were performed on two anaesthetised baboons. The radioligand (397 ± 43 MBq) was infused into the animals over 2 min and dynamic SPECT images were acquired for 3 hr. The plasma input function was determined from arterial blood samples with metabolite correction. The data were analysed using 2- and 3-compartment models. Reliable fits could be obtained with 3-compartment model which provided significantly improved fitting as compared to the 2-compartment model, despite poor identifiability in some parameters. The 2-compartment model failed to fit the data adequately even though the identifiability of parameters was high. The 3-compartment model described the data well, and with the strategies used to obtain reliable fits, is the model of choice for analysis of 5-[123I]-iodo-A-85380 kinetics.
Keywords: Binding, biomedical systems, modelling, parameter estimation
Session slot T-Mo-A20: Modelling and Control of Biochemical and Biological Sys/Area code 4c : Modelling and Control of Biomedical Systems