Literature DB >> 18946215

Accuracy and anatomical coverage of perfusion CT assessment of the blood-brain barrier permeability: one bolus versus two boluses.

Jan Willem Dankbaar1, Jason Hom, Thomas Schneider, Su-Chun Cheng, Benison C Lau, Irene van der Schaaf, Sunny Virmani, Scott Pohlman, William P Dillon, Max Wintermark.   

Abstract

PURPOSE: To assess whether blood-brain barrier permeability (BBBP) values, extracted with the Patlak model from the second perfusion CT (PCT) contrast bolus, are significantly lower than the values extracted from the first bolus in the same patient.
MATERIALS AND METHODS: 125 consecutive patients (29 with acute hemispheric stroke and 96 without stroke) who underwent a PCT study using a prolonged acquisition time up to 3 min were retrospectively identified. The Patlak model was applied to calculate the rate of contrast leakage out of the vascular compartment. Patlak plots were created from the arterial and parenchymal time enhancement curves obtained in multiple regions of interest drawn in ischemic brain tissue and in nonischemic brain tissue. The slope of a regression line fit to the Patlak plot was used as an indicator of BBBP. Square roots of the mean squared errors and correlation coefficients were used to describe the quality of the linear regression model. This was performed separately for the first and the second PCT bolus. Results from the first and the second bolus were compared in terms of BBBP values and the quality of the linear model fitted to the Patlak plot, using generalized estimating equations with robust variance estimation.
RESULTS: BBBP values from the second bolus were not lower than BBBP values from the first bolus in either nonischemic brain tissue [estimated mean with 95% confidence interval: 1.42 (1.10-1.82) ml x 100 g(-1) x min(-1) for the first bolus versus 1.64 (1.31-2.05) ml x 100 g(-1) x min(-1) for the second bolus, p = 1.00] or in ischemic tissue [1.04 (0.97-1.12) ml x 100 g(-1) x min(-1) for the first bolus versus 1.19 (1.11-1.28) ml x 100 g(-1)min(-1) for the second bolus, p = 0.79]. Compared to regression models from the first bolus, the Patlak regression models obtained from the second bolus were of similar or slightly better quality. This was true both in nonischemic and ischemic brain tissue.
CONCLUSION: The contrast material from the first bolus of contrast for PCT does not negatively influence measurements of BBBP values from the second bolus. The second bolus can thus be used to increase anatomical coverage of BBBP assessment using PCT. 2008 S. Karger AG, Basel.

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Year:  2008        PMID: 18946215      PMCID: PMC2914360          DOI: 10.1159/000165113

Source DB:  PubMed          Journal:  Cerebrovasc Dis        ISSN: 1015-9770            Impact factor:   2.762


  17 in total

1.  Perfusion CT with iodinated contrast material.

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2.  Measurement of regional cerebral blood volume by computerized axial tomography.

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Authors:  C S Patlak; R G Blasberg; J D Fenstermacher
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5.  A model for capillary exchange.

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7.  Acute stroke assessment with CT: do we need multimodal evaluation?

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8.  Dynamic perfusion CT assessment of the blood-brain barrier permeability: first pass versus delayed acquisition.

Authors:  J W Dankbaar; J Hom; T Schneider; S-C Cheng; B C Lau; I van der Schaaf; S Virmani; S Pohlman; W P Dillon; M Wintermark
Journal:  AJNR Am J Neuroradiol       Date:  2008-07-17       Impact factor: 3.825

9.  Measuring elevated microvascular permeability and predicting hemorrhagic transformation in acute ischemic stroke using first-pass dynamic perfusion CT imaging.

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Review 10.  The ischemic penumbra: identification, evolution and treatment concepts.

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Authors:  T Schneider; J Hom; J Bredno; J W Dankbaar; S-C Cheng; M Wintermark
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3.  Blood-brain barrier permeability assessed by perfusion CT predicts symptomatic hemorrhagic transformation and malignant edema in acute ischemic stroke.

Authors:  J Hom; J W Dankbaar; B P Soares; T Schneider; S-C Cheng; J Bredno; B C Lau; W Smith; W P Dillon; M Wintermark
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Review 4.  Blood-brain barrier permeability imaging using perfusion computed tomography.

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