Literature DB >> 3611204

Tracer-kinetic models for measuring cerebral blood flow using externally detected radiotracers.

K B Larson, J Markham, M E Raichle.   

Abstract

All tracer-kinetic models currently employed with positron-emission tomography (PET) are based on compartmental assumptions. Our first indication that a compartmental model might suffer from severe limitations in certain circumstances when used with PET occurred when we implemented the Kety tissue-autoradiography technique for measuring CBF and observed that the resulting CBF estimates, rather than remaining constant (to within predictable statistical uncertainty) as expected, fell with increasing scan duration T when T greater than 1 min. After ruling out other explanations, we concluded that a one-compartment model does not possess sufficient realism for adequately describing the movement of labeled water in brain. This article recounts our search for more realistic substitute models. We give our derivations and results for the residue-detection impulse responses for unit capillary-tissue systems of our two candidate distributed-parameter models. In a sequence of trials beginning with the simplest, we tested four progressively more detailed candidate models against data from appropriate residue-detection experiments. In these, we generated high-temporal-resolution counting-rate data reflecting the history of radiolabeled-water uptake and washout in the brains of rhesus monkeys. We describe our treatment of the data to yield model-independent empirical values of CBF and of other parameters. By substituting these into our trial-model functions, we were able to make direct comparisons of the model predictions with the experimental dynamic counting-rate histories, confirming that our reservations concerning the one-compartment model were well founded and obliging us to reject two others. We conclude that a two-barrier distributed-parameter model has the potential of serving as a substitute for the Kety model in PET measurements of CBF in patients, especially when scan durations for T greater than 1 min are desired.

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Year:  1987        PMID: 3611204     DOI: 10.1038/jcbfm.1987.88

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  23 in total

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3.  Early time points perfusion imaging: theoretical analysis of correction factors for relative cerebral blood flow estimation given local arterial input function.

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4.  Dynamic contrast-enhanced CT imaging of hepatocellular carcinoma in cirrhosis: feasibility of a prolonged dual-phase imaging protocol with tracer kinetics modeling.

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5.  Effects of variations in the duration of diffusible-tracer infusions on calculated values of global and local cerebral blood flow.

Authors:  J L Lear; R Kasliwal; R A Duryea
Journal:  Metab Brain Dis       Date:  1992-12       Impact factor: 3.584

6.  A fast nonlinear regression method for estimating permeability in CT perfusion imaging.

Authors:  Edwin Bennink; Alan J Riordan; Alexander D Horsch; Jan Willem Dankbaar; Birgitta K Velthuis; Hugo W de Jong
Journal:  J Cereb Blood Flow Metab       Date:  2013-07-24       Impact factor: 6.200

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8.  Noninvasive estimation of the arterial input function in positron emission tomography imaging of cerebral blood flow.

Authors:  Yi Su; Ana M Arbelaez; Tammie L S Benzinger; Abraham Z Snyder; Andrei G Vlassenko; Mark A Mintun; Marcus E Raichle
Journal:  J Cereb Blood Flow Metab       Date:  2012-10-17       Impact factor: 6.200

9.  Measurement of renal tissue oxygenation with blood oxygen level-dependent MRI and oxygen transit modeling.

Authors:  Jeff L Zhang; Glen Morrell; Henry Rusinek; Lizette Warner; Pierre-Hugues Vivier; Alfred K Cheung; Lilach O Lerman; Vivian S Lee
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10.  The effects of intravoxel contrast agent diffusion on the analysis of DCE-MRI data in realistic tissue domains.

Authors:  Ryan T Woodall; Stephanie L Barnes; David A Hormuth; Anna G Sorace; C Chad Quarles; Thomas E Yankeelov
Journal:  Magn Reson Med       Date:  2017-11-08       Impact factor: 4.668

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