1985
DOI: 10.1038/jcbfm.1985.87
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Graphical Evaluation of Blood-to-Brain Transfer Constants from Multiple-Time Uptake Data. Generalizations

Abstract: Summary:The method of graphical analysis for the eval uation of sequential data (e.g., tissue and blood concen trations over time) in which the test substance is irre versibly trapped in the system has been expanded. A sim pler derivation of the original analysis is presented.General equations are derived that can be used to analyze tissue uptake data when the blood-plasma concentration of the test substance cannot be easily measured. In ad dition, general equations are derived for situations when trapping of … Show more

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Cited by 1,488 publications
(763 citation statements)
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“…A three-comparment model is usually used with FDG. The Patlak-Gjedde graphical approach can also be applied using dynamic data to estimate the rate of influx of FDG in quantitative terms [71]. Both approaches require assumptions regarding the lumped constant.…”
Section: Methodological Considerationsmentioning
confidence: 99%
“…A three-comparment model is usually used with FDG. The Patlak-Gjedde graphical approach can also be applied using dynamic data to estimate the rate of influx of FDG in quantitative terms [71]. Both approaches require assumptions regarding the lumped constant.…”
Section: Methodological Considerationsmentioning
confidence: 99%
“…1). Multicompartment models were tested as were graphical analysis with Patlak plots (19). Metabolite and partialvolume corrections were applied to estimate 1-11 C-acetate transport across the cell membrane and influx into the tissue.…”
mentioning
confidence: 99%
“…Kinetic influx constant (Ki) was calculated using the graphic analysis method proposed by Patlak and Blasberg [1], taking the occipital region as a reference tissue.…”
Section: Methodsmentioning
confidence: 99%