Literature DB >> 19780145

Measurement of brain perfusion, blood volume, and blood-brain barrier permeability, using dynamic contrast-enhanced T(1)-weighted MRI at 3 tesla.

Henrik B W Larsson1, Frédéric Courivaud, Egill Rostrup, Adam E Hansen.   

Abstract

Assessment of vascular properties is essential to diagnosis and follow-up and basic understanding of pathogenesis in brain tumors. In this study, a procedure is presented that allows concurrent estimation of cerebral perfusion, blood volume, and blood-brain permeability from dynamic T(1)-weighted imaging of a bolus of a paramagnetic contrast agent passing through the brain. The methods are applied in patients with brain tumors and in healthy subjects. Perfusion was estimated by model-free deconvolution using Tikhonov's method (gray matter/white matter/tumor: 72 +/- 16/30 +/- 8/56 +/- 45 mL/100 g/min); blood volume (6 +/- 2/4 +/- 1/7 +/- 6 mL/100 g) and permeability (0.9 +/- 0.4/0.8 +/- 0.3/3 +/- 5 mL/100 g/min) were estimated by using Patlak's method and a two-compartment model. A corroboration of these results was achieved by using model simulation. In addition, it was possible to generate maps on a pixel-by-pixel basis of cerebral perfusion, cerebral blood volume, and blood-brain barrier permeability. (c) 2009 Wiley-Liss, Inc.

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Year:  2009        PMID: 19780145     DOI: 10.1002/mrm.22136

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  77 in total

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4.  Quantitative measurement of blood-brain barrier permeability in human using dynamic contrast-enhanced MRI with fast T1 mapping.

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8.  MRI measurement of blood-brain barrier leakage: minding the gaps.

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9.  Dynamic contrast-enhanced MRI evaluation of cerebral cavernous malformations.

Authors:  Blaine L Hart; Saeid Taheri; Gary A Rosenberg; Leslie A Morrison
Journal:  Transl Stroke Res       Date:  2013-09-21       Impact factor: 6.829

10.  Feasibility of multi-parametric PET and MRI for prediction of tumour recurrence in patients with glioblastoma.

Authors:  Michael Lundemann; Per Munck Af Rosenschöld; Aida Muhic; Vibeke A Larsen; Hans S Poulsen; Svend-Aage Engelholm; Flemming L Andersen; Andreas Kjær; Henrik B W Larsson; Ian Law; Adam E Hansen
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-10-02       Impact factor: 9.236

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