Astrocytic tracer dynamics estimated from [1-¹¹C]-acetate PET measurements.

Autor:	Arnold A; Center for Quantitative Sciences in Biomedicine, North Carolina State University, Campus Box 8213, 2700 Stinson Drive, 308 Cox Hall, Raleigh, NC 27695-8213, USA and Department of Mathematics, North Carolina State University, Campus Box 8205, 2108 SAS Hall, 2311 Stinson Drive, Raleigh, NC 27695-8205, USA., Calvetti D; Department of Mathematics, Applied Mathematics and Statistics, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA dxc57@case.edu daniela.calvetti@case.edu., Gjedde A; Department of Neuroscience and Pharmacology, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen, Denmark and Department of Nuclear Medicine and PET Centre, Aarhus University Hospitals, Aarhus, Nørrebrogade 44 DK-8000, Denmark., Iversen P; Department of Nuclear Medicine and PET Centre, Aarhus University Hospitals, Aarhus, Nørrebrogade 44 DK-8000, Denmark., Somersalo E; Department of Mathematics, Applied Mathematics and Statistics, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA.
Jazyk:	angličtina
Zdroj:	Mathematical medicine and biology : a journal of the IMA [Math Med Biol] 2015 Dec; Vol. 32 (4), pp. 367-82. Date of Electronic Publication: 2014 Nov 24.
DOI:	10.1093/imammb/dqu021
Abstrakt:	We address the problem of estimating the unknown parameters of a model of tracer kinetics from sequences of positron emission tomography (PET) scan data using a statistical sequential algorithm for the inference of magnitudes of dynamic parameters. The method, based on Bayesian statistical inference, is a modification of a recently proposed particle filtering and sequential Monte Carlo algorithm, where instead of preassigning the accuracy in the propagation of each particle, we fix the time step and account for the numerical errors in the innovation term. We apply the algorithm to PET images of [1-¹¹C]-acetate-derived tracer accumulation, estimating the transport rates in a three-compartment model of astrocytic uptake and metabolism of the tracer for a cohort of 18 volunteers from 3 groups, corresponding to healthy control individuals, cirrhotic liver and hepatic encephalopathy patients. The distribution of the parameters for the individuals and for the groups presented within the Bayesian framework support the hypothesis that the parameters for the hepatic encephalopathy group follow a significantly different distribution than the other two groups. The biological implications of the findings are also discussed. (© The Authors 2014. Published by Oxford University Press on behalf of the Institute of Mathematics and its Applications. All rights reserved.)
Databáze:	MEDLINE
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