Literature DB >> 15122678

Measuring blood volume and vascular transfer constant from dynamic, T(2)*-weighted contrast-enhanced MRI.

Glyn Johnson1, Stephan G Wetzel, Soonmee Cha, James Babb, Paul S Tofts.   

Abstract

Dynamic, contrast-enhanced MRI (deMRI) is increasingly being used to evaluate cerebral microcirculation. There are two different approaches for analyzing deMRI data. Intravascular indicator dilution theory has been used to estimate blood volume (and perfusion), usually from T(2)- or T(2) (*)-weighted images of the first pass of the bolus. However, the theory assumes that the tracer (i.e., contrast agent) remains intravascular, which is often not the case when the blood-brain barrier (BBB) is damaged. Furthermore, the method provides no information on the vascular transfer constant. Pharmacokinetic modeling analyses of T(1)-weighted images after first pass do give values of the vascular transfer constant and the volume of the extravascular, extracellular space (EES), but they generally are unable to give estimates of blood volume. In this study we apply pharmacokinetic modeling to dynamic T(2) (*)-weighted imaging of the first pass of a tracer bolus. This method, which we call first-pass pharmacokinetic modeling (FPPM), gives an estimate of the blood volume, vascular transfer constant, and EES volume. The method was applied to a group of 26 patients with surgically proven tumors (10 glioblastomas multiforme (GBMs), six lymphomas, and 10 meningiomas). The measurements of the blood volume and transfer constant were consistent with the known physiology of these tumors. Copyright 2004 Wiley-Liss, Inc.

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Year:  2004        PMID: 15122678     DOI: 10.1002/mrm.20049

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


  54 in total

1.  Dynamic susceptibility contrast-enhanced perfusion and conventional MR imaging findings for adult patients with cerebral primitive neuroectodermal tumors.

Authors:  Meng Law; Khuram Kazmi; Stephan Wetzel; Edwin Wang; Codrin Iacob; David Zagzag; John G Golfinos; Glyn Johnson
Journal:  AJNR Am J Neuroradiol       Date:  2004 Jun-Jul       Impact factor: 3.825

2.  An improved model for describing the contrast bolus in perfusion MRI.

Authors:  Vishal Patil; Glyn Johnson
Journal:  Med Phys       Date:  2011-12       Impact factor: 4.071

3.  Prognostic Value of Dynamic Susceptibility Contrast-Enhanced and Diffusion-Weighted MR Imaging in Patients with Glioblastomas.

Authors:  G Çoban; S Mohan; F Kural; S Wang; D M O'Rourke; H Poptani
Journal:  AJNR Am J Neuroradiol       Date:  2015-04-02       Impact factor: 3.825

Review 4.  Advances in the assessment of childhood brain tumors and treatment-related sequelae.

Authors:  Katherine E Warren
Journal:  Curr Neurol Neurosci Rep       Date:  2005-03       Impact factor: 5.081

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

Authors:  Kenneth K Kwong; David A Chesler
Journal:  Neuroimage       Date:  2011-04-08       Impact factor: 6.556

Review 6.  Theoretical basis of hemodynamic MR imaging techniques to measure cerebral blood volume, cerebral blood flow, and permeability.

Authors:  G Zaharchuk
Journal:  AJNR Am J Neuroradiol       Date:  2007 Nov-Dec       Impact factor: 3.825

Review 7.  Update on brain tumor imaging: from anatomy to physiology.

Authors:  S Cha
Journal:  AJNR Am J Neuroradiol       Date:  2006-03       Impact factor: 3.825

8.  Analysis of the influence of 4D MR angiography temporal resolution on time-to-peak estimation error for different cerebral vessel structures.

Authors:  N D Forkert; T Illies; D Möller; H Handels; D Säring; J Fiehler
Journal:  AJNR Am J Neuroradiol       Date:  2012-05-03       Impact factor: 3.825

9.  Evaluation of MR markers that predict survival in patients with newly diagnosed GBM prior to adjuvant therapy.

Authors:  Suja Saraswathy; Forrest W Crawford; Kathleen R Lamborn; Andrea Pirzkall; Susan Chang; Soonmee Cha; Sarah J Nelson
Journal:  J Neurooncol       Date:  2008-09-23       Impact factor: 4.130

10.  Quantitative estimation of permeability surface-area product in astroglial brain tumors using perfusion CT and correlation with histopathologic grade.

Authors:  R Jain; S K Ellika; L Scarpace; L R Schultz; J P Rock; J Gutierrez; S C Patel; J Ewing; T Mikkelsen
Journal:  AJNR Am J Neuroradiol       Date:  2008-01-17       Impact factor: 3.825

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