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• W2106588887 abstract "Abstract Emission computed tomographic methods for the in vivo quantification of radioligand‐binding sites in human brain have previously been limited either by a lack of correction for possible effects of altered ligand transport or by highly complicated physiological models that preclude display of binding data in a detailed anatomical format. We investigated the application of a simplified compartmental model to the kinetic analysis of in vivo ligand binding to central benzodiazepine receptors. The human brain distribution of { 11 C}flumazenil, as determined by dynamic positron emission tomography, combined with metabolite‐corrected arterial blood samples, permitted estimations of local cerebral ligand transport and of receptor binding. This approach allows calculation of transport and binding “maps” on a pixel‐by‐pixel basis, resulting in the display of binding data in a familiar tomographic format while maintaining much of the physiological accuracy inherent in more complex methods. The results obtained in a study of 6 normal volunteers revealed good interindividual precision, with coefficients of variation between 10 and 15% of mean regional values, suggesting the utility of this approach in future clinical studies of benzodiazepine receptor binding." @default.
• W2106588887 created "2016-06-24" @default.
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• W2106588887 date "1991-11-01" @default.
• W2106588887 modified "2023-10-18" @default.
• W2106588887 title "Parametric in vivo imaging of benzodiazepine receptor distribution in human brain" @default.
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• W2106588887 doi "https://doi.org/10.1002/ana.410300506" @default.
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