Literature DB >> 25845809

Human cerebral blood volume measurements using dynamic contrast enhancement in comparison to dynamic susceptibility contrast MRI.

Moran Artzi1, Gilad Liberman, Guy Nadav, Faina Vitinshtein, Deborah T Blumenthal, Felix Bokstein, Orna Aizenstein, Dafna Ben Bashat.   

Abstract

INTRODUCTION: Cerebral blood volume (CBV) is an important parameter for the assessment of brain tumors, usually obtained using dynamic susceptibility contrast (DSC) MRI. However, this method often suffers from low spatial resolution and high sensitivity to susceptibility artifacts and usually does not take into account the effect of tissue permeability. The plasma volume (vp) can also be extracted from dynamic contrast enhancement (DCE) MRI. The aim of this study was to investigate whether DCE can be used for the measurement of cerebral blood volume in place of DSC for the assessment of patients with brain tumors.
METHODS: Twenty-eight subjects (17 healthy subjects and 11 patients with glioblastoma) were scanned using DCE and DSC. vp and CBV values were measured and compared in different brain components in healthy subjects and in the tumor area in patients.
RESULTS: Significant high correlations were detected between vp and CBV in healthy subjects in the different brain components; white matter, gray matter, and arteries, correlating with the known increased tissue vascularity, and within the tumor area in patients.
CONCLUSION: This work proposes the use of DCE as an alternative method to DSC for the assessment of blood volume, given the advantages of its higher spatial resolution, its lower sensitivity to susceptibility artifacts, and its ability to provide additional information regarding tissue permeability.

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Year:  2015        PMID: 25845809     DOI: 10.1007/s00234-015-1518-4

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  28 in total

1.  Simultaneous quantitative cerebral perfusion and Gd-DTPA extravasation measurement with dual-echo dynamic susceptibility contrast MRI.

Authors:  E P Vonken; M J van Osch; C J Bakker; M A Viergever
Journal:  Magn Reson Med       Date:  2000-06       Impact factor: 4.668

2.  Efficient method for calculating kinetic parameters using T1-weighted dynamic contrast-enhanced magnetic resonance imaging.

Authors:  Kenya Murase
Journal:  Magn Reson Med       Date:  2004-04       Impact factor: 4.668

Review 3.  Advances in functional and structural MR image analysis and implementation as FSL.

Authors:  Stephen M Smith; Mark Jenkinson; Mark W Woolrich; Christian F Beckmann; Timothy E J Behrens; Heidi Johansen-Berg; Peter R Bannister; Marilena De Luca; Ivana Drobnjak; David E Flitney; Rami K Niazy; James Saunders; John Vickers; Yongyue Zhang; Nicola De Stefano; J Michael Brady; Paul M Matthews
Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

4.  High-resolution T1 mapping of the brain at 3T with driven equilibrium single pulse observation of T1 with high-speed incorporation of RF field inhomogeneities (DESPOT1-HIFI).

Authors:  Sean C L Deoni
Journal:  J Magn Reson Imaging       Date:  2007-10       Impact factor: 4.813

5.  Quantification of cerebral blood flow, cerebral blood volume, and blood-brain-barrier leakage with DCE-MRI.

Authors:  Steven Sourbron; Michael Ingrisch; Axel Siefert; Maximilian Reiser; Karin Herrmann
Journal:  Magn Reson Med       Date:  2009-07       Impact factor: 4.668

6.  High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: Mathematical approach and statistical analysis.

Authors:  L Ostergaard; R M Weisskoff; D A Chesler; C Gyldensted; B R Rosen
Journal:  Magn Reson Med       Date:  1996-11       Impact factor: 4.668

Review 7.  Advanced MR imaging techniques in the diagnosis of intraaxial brain tumors in adults.

Authors:  Riyadh N Al-Okaili; Jaroslaw Krejza; Sumei Wang; John H Woo; Elias R Melhem
Journal:  Radiographics       Date:  2006-10       Impact factor: 5.333

Review 8.  Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols.

Authors:  P S Tofts; G Brix; D L Buckley; J L Evelhoch; E Henderson; M V Knopp; H B Larsson; T Y Lee; N A Mayr; G J Parker; R E Port; J Taylor; R M Weisskoff
Journal:  J Magn Reson Imaging       Date:  1999-09       Impact factor: 4.813

Review 9.  Advances in MRI assessment of gliomas and response to anti-VEGF therapy.

Authors:  Whitney B Pope; Jonathan R Young; Benjamin M Ellingson
Journal:  Curr Neurol Neurosci Rep       Date:  2011-06       Impact factor: 5.081

10.  The assessment of antiangiogenic and antivascular therapies in early-stage clinical trials using magnetic resonance imaging: issues and recommendations.

Authors:  M O Leach; K M Brindle; J L Evelhoch; J R Griffiths; M R Horsman; A Jackson; G C Jayson; I R Judson; M V Knopp; R J Maxwell; D McIntyre; A R Padhani; P Price; R Rathbone; G J Rustin; P S Tofts; G M Tozer; W Vennart; J C Waterton; S R Williams; P Workman
Journal:  Br J Cancer       Date:  2005-05-09       Impact factor: 7.640

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  4 in total

1.  Repeatability of dynamic contrast enhanced vp parameter in healthy subjects and patients with brain tumors.

Authors:  Moran Artzi; Gilad Liberman; Deborah T Blumenthal; Felix Bokstein; Orna Aizenstein; Dafna Ben Bashat
Journal:  J Neurooncol       Date:  2018-11-03       Impact factor: 4.130

2.  Dynamic contrast-enhanced MRI predicts PTEN protein expression which can function as a prognostic measure of progression-free survival in NPC patients.

Authors:  Gang Wu; Weiyuan Huang; Junnv Xu; Wenzhu Li; Yu Wu; Qianyu Yang; Kun Liu; Mingyue Zhu; Priya S Balasubramanian; Mengsen Li
Journal:  J Cancer Res Clin Oncol       Date:  2021-08-16       Impact factor: 4.553

3.  Developing a Pipeline for Multiparametric MRI-Guided Radiation Therapy: Initial Results from a Phase II Clinical Trial in Newly Diagnosed Glioblastoma.

Authors:  Michelle M Kim; Hemant A Parmar; Madhava P Aryal; Charles S Mayo; James M Balter; Theodore S Lawrence; Yue Cao
Journal:  Tomography       Date:  2019-03

4.  Quantifying cardiac-induced brain tissue expansion using DENSE.

Authors:  Ayodeji L Adams; Hugo J Kuijf; Max A Viergever; Peter R Luijten; Jaco J M Zwanenburg
Journal:  NMR Biomed       Date:  2018-12-21       Impact factor: 4.044

  4 in total

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