Literature DB >> 16319833

Experimental estimates of the constants relating signal change to contrast concentration for cerebral blood volume by T2* MRI.

George C Newman1, Frank E Hospod, Clifford S Patlak, Sean E Fain, Kari A Pulfer, Thomas D Cook, Finbarr O'Sullivan.   

Abstract

Estimates of cerebral blood volume (CBV) obtained from dynamic contrast T2(*)-weighted magnetic resonance imaging (MRI) tend to be significantly higher than values obtained by other methods. This may relate to the common assumption that the proportionality constants relating signal change to contrast concentration are equal in tissue and artery. To test this hypothesis and provide estimates for the ratio of those proportionality constants, the authors compared measurements of CBV by both MRI and computed tomography (CT) scans in nine healthy volunteers obtained using identical kinetic paradigms for the two imaging modalities. Both boluses and infusions of contrast were studied. Measurements were made in nine anatomic regions of interest of the cerebral hemispheres bilaterally. Cerebral blood volume values obtained by CT were generally lower than those obtained by MRI, especially in the cerebral cortex. As a result, the calculated values of the ratios of proportionality constants relating signal change to concentration in tissue and artery after bolus injections were significantly less than 1 in cortex (0.69) and white matter (0.76), although not in deep gray matter structures (0.87). Values of the ratios based on infusion measurements were closer to 1. In addition, CBV measurement errors with bolus MRI were significantly larger than those observed with infusion MRI or by CT. The reasons that the constants differ from 1 and for the larger variance of bolus MRI are discussed in terms of the T2* signal mechanisms. These studies help define the magnitude by which CBV is overestimated with typical T2*-weighted perfusion imaging. Infusion measurements of CBV can reduce the variance intrinsic to T2* MRI and lessen the likelihood of type II error.

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Year:  2006        PMID: 16319833     DOI: 10.1038/sj.jcbfm.9600242

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


  6 in total

1.  Optimizing dynamic T2* MR imaging for measurement of cerebral blood flow using infusions for cerebral blood volume.

Authors:  G C Newman; F E Hospod; S B Fain; T D Cook
Journal:  AJNR Am J Neuroradiol       Date:  2006 Jun-Jul       Impact factor: 3.825

Review 2.  Absolute quantification of perfusion using dynamic susceptibility contrast MRI: pitfalls and possibilities.

Authors:  Linda Knutsson; Freddy Ståhlberg; Ronnie Wirestam
Journal:  MAGMA       Date:  2009-12-04       Impact factor: 2.310

3.  Influence of blood/tissue differences in contrast agent relaxivity on tracer-based MR perfusion measurements.

Authors:  Arvid Morell; Fredrik Lennmyr; Ove Jonsson; Thomas Tovedal; Jean Pettersson; Jonas Bergquist; Vitas Zemgulis; Gunnar Myrdal Einarsson; Stefan Thelin; Håkan Ahlström; Atle Bjørnerud
Journal:  MAGMA       Date:  2014-06-28       Impact factor: 2.310

4.  Contrast agent dose effects in cerebral dynamic susceptibility contrast magnetic resonance perfusion imaging.

Authors:  Jeffry R Alger; Timothy J Schaewe; Tom C Lai; Andrew J Frew; Paul M Vespa; Maria Etchepare; David S Liebeskind; Jeffrey L Saver; S Chelsea Kidwell
Journal:  J Magn Reson Imaging       Date:  2009-01       Impact factor: 4.813

5.  Quantitative measurement of cerebral physiology using respiratory-calibrated MRI.

Authors:  D P Bulte; M Kelly; M Germuska; J Xie; M A Chappell; T W Okell; M G Bright; P Jezzard
Journal:  Neuroimage       Date:  2011-12-22       Impact factor: 6.556

6.  An efficient computational approach to characterize DSC-MRI signals arising from three-dimensional heterogeneous tissue structures.

Authors:  Natenael B Semmineh; Junzhong Xu; Jerrold L Boxerman; Gary W Delaney; Paul W Cleary; John C Gore; C Chad Quarles
Journal:  PLoS One       Date:  2014-01-08       Impact factor: 3.240

  6 in total

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