Literature DB >> 19787719

Improving dynamic susceptibility contrast MRI measurement of quantitative cerebral blood flow using corrections for partial volume and nonlinear contrast relaxivity: A xenon computed tomographic comparative study.

Greg Zaharchuk1, Roland Bammer, Matus Straka, Rexford D Newbould, Jarrett Rosenberg, Jean-Marc Olivot, Michael Mlynash, Maarten G Lansberg, Neil E Schwartz, Michael M Marks, Gregory W Albers, Michael E Moseley.   

Abstract

PURPOSE: To test whether dynamic susceptibility contrast MRI-based CBF measurements are improved with arterial input function (AIF) partial volume (PV) and nonlinear contrast relaxivity correction, using a gold-standard CBF method, xenon computed tomography (xeCT).
MATERIALS AND METHODS: Eighteen patients with cerebrovascular disease underwent xeCT and MRI within 36 h. PV was measured as the ratio of the area under the AIF and the venous output function (VOF) concentration curves. A correction was applied to account for the nonlinear relaxivity of bulk blood (BB). Mean CBF was measured with both techniques and regression analyses both within and between patients were performed.
RESULTS: Mean xeCT CBF was 43.3 +/- 13.7 mL/100g/min (mean +/- SD). BB correction decreased CBF by a factor of 4.7 +/- 0.4, but did not affect precision. The least-biased CBF measurement was with BB but without PV correction (45.8 +/- 17.2 mL/100 g/min, coefficient of variation [COV] = 32%). Precision improved with PV correction, although absolute CBF was mildly underestimated (34.3 +/- 10.8 mL/100 g/min, COV = 27%). Between patients correlation was moderate even with both corrections (R = 0.53).
CONCLUSION: Corrections for AIF PV and nonlinear BB relaxivity improve bolus MRI-based CBF maps. However, there remain challenges given the moderate between-patient correlation, which limit diagnostic confidence of such measurements in individual patients. (c) 2009 Wiley-Liss, Inc.

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Year:  2009        PMID: 19787719      PMCID: PMC2851938          DOI: 10.1002/jmri.21908

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  35 in total

1.  Correlation of regional cerebral blood flow measured by stable xenon CT and perfusion MRI.

Authors:  T Hagen; K Bartylla; U Piepgras
Journal:  J Comput Assist Tomogr       Date:  1999 Mar-Apr       Impact factor: 1.826

Review 2.  Comparative overview of brain perfusion imaging techniques.

Authors:  Max Wintermark; Musa Sesay; Emmanuel Barbier; Katalin Borbély; William P Dillon; James D Eastwood; Thomas C Glenn; Cécile B Grandin; Salvador Pedraza; Jean-François Soustiel; Tadashi Nariai; Greg Zaharchuk; Jean-Marie Caillé; Vincent Dousset; Howard Yonas
Journal:  Stroke       Date:  2005-08-11       Impact factor: 7.914

3.  Qualitative versus quantitative assessment of cerebrovascular reserves.

Authors:  H Yonas; R R Pindzola; C C Meltzer; H Sasser
Journal:  Neurosurgery       Date:  1998-05       Impact factor: 4.654

4.  Cerebral blood flow measurements by magnetic resonance imaging bolus tracking: comparison with [(15)O]H2O positron emission tomography in humans.

Authors:  L Ostergaard; P Johannsen; P Høst-Poulsen; P Vestergaard-Poulsen; H Asboe; A D Gee; S B Hansen; G E Cold; A Gjedde; C Gyldensted
Journal:  J Cereb Blood Flow Metab       Date:  1998-09       Impact factor: 6.200

5.  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

6.  Automated method for generating the arterial input function on perfusion-weighted MR imaging: validation in patients with stroke.

Authors:  Michael Mlynash; Irina Eyngorn; Roland Bammer; Michael Moseley; David C Tong
Journal:  AJNR Am J Neuroradiol       Date:  2005 Jun-Jul       Impact factor: 3.825

7.  Measurement of cerebral perfusion with dual-echo multi-slice quantitative dynamic susceptibility contrast MRI.

Authors:  E J Vonken; M J van Osch; C J Bakker; M A Viergever
Journal:  J Magn Reson Imaging       Date:  1999-08       Impact factor: 4.813

8.  Absolute CBF and CBV measurements by MRI bolus tracking before and after acetazolamide challenge: repeatabilily and comparison with PET in humans.

Authors:  Cécile B Grandin; Anne Bol; Anne M Smith; Christian Michel; Guy Cosnard
Journal:  Neuroimage       Date:  2005-04-19       Impact factor: 6.556

9.  Absolute cerebral blood flow and blood volume measured by magnetic resonance imaging bolus tracking: comparison with positron emission tomography values.

Authors:  L Ostergaard; D F Smith; P Vestergaard-Poulsen; S B Hansen; A D Gee; A Gjedde; C Gyldensted
Journal:  J Cereb Blood Flow Metab       Date:  1998-04       Impact factor: 6.200

10.  Quantification of regional cerebral blood flow and volume with dynamic susceptibility contrast-enhanced MR imaging.

Authors:  K A Rempp; G Brix; F Wenz; C R Becker; F Gückel; W J Lorenz
Journal:  Radiology       Date:  1994-12       Impact factor: 11.105

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  10 in total

1.  Acute Preoperative Infarcts and Poor Cerebrovascular Reserve Are Independent Risk Factors for Severe Ischemic Complications following Direct Extracranial-Intracranial Bypass for Moyamoya Disease.

Authors:  Michael U Antonucci; Terrence C Burns; T Michael Pulling; Jarrett Rosenberg; Michael P Marks; Gary K Steinberg; Greg Zaharchuk
Journal:  AJNR Am J Neuroradiol       Date:  2015-11-12       Impact factor: 3.825

2.  Contralateral Hemispheric Cerebral Blood Flow Measured With Arterial Spin Labeling Can Predict Outcome in Acute Stroke.

Authors:  Thoralf Thamm; Jia Guo; Jarrett Rosenberg; Tie Liang; Michael P Marks; Soren Christensen; Huy M Do; Stephanie M Kemp; Emma Adair; Irina Eyngorn; Michael Mlynash; Tudor G Jovin; Bart P Keogh; Hui J Chen; Maarten G Lansberg; Gregory W Albers; Greg Zaharchuk
Journal:  Stroke       Date:  2019-10-17       Impact factor: 7.914

3.  Arterial spin-labeling MRI can identify the presence and intensity of collateral perfusion in patients with moyamoya disease.

Authors:  Greg Zaharchuk; Huy M Do; Michael P Marks; Jarrett Rosenberg; Michael E Moseley; Gary K Steinberg
Journal:  Stroke       Date:  2011-07-28       Impact factor: 7.914

4.  Dynamic susceptibility contrast perfusion MRI using phase-based venous output functions: comparison with pseudo-continuous arterial spin labelling and assessment of contrast agent concentration in large veins.

Authors:  Ronnie Wirestam; Emelie Lind; André Ahlgren; Freddy Ståhlberg; Linda Knutsson
Journal:  MAGMA       Date:  2016-06-13       Impact factor: 2.310

5.  Arterial input function in a dedicated slice for cerebral perfusion measurements in humans.

Authors:  Elias Kellner; Irina Mader; Marco Reisert; Horst Urbach; Valerij Gennadevic Kiselev
Journal:  MAGMA       Date:  2017-12-09       Impact factor: 2.310

6.  Using advanced MRI techniques for patient selection before acute stroke therapy.

Authors:  Jean-Marc Olivot; Gregory W Albers
Journal:  Curr Treat Options Cardiovasc Med       Date:  2010-06

7.  ΔR2 (*) gadolinium-diethylenetriaminepentacetic acid relaxivity in venous blood.

Authors:  Vishal Patil; Glyn Johnson
Journal:  Magn Reson Med       Date:  2012-05-10       Impact factor: 4.668

8.  Dynamic Susceptibility Contrast MRI at 7 T: Tail-Scaling Analysis and Inferences About Field Strength Dependence.

Authors:  Linda Knutsson; Xiang Xu; Freddy Ståhlberg; Peter B Barker; Emelie Lind; Pia C Sundgren; Peter C M van Zijl; Ronnie Wirestam
Journal:  Tomography       Date:  2017-06

9.  Non-parametric deconvolution using Bézier curves for quantification of cerebral perfusion in dynamic susceptibility contrast MRI.

Authors:  Arthur Chakwizira; André Ahlgren; Linda Knutsson; Ronnie Wirestam
Journal:  MAGMA       Date:  2022-01-13       Impact factor: 2.533

10.  A comparison of pseudo-continuous arterial spin labelling and dynamic susceptibility contrast MRI with and without contrast agent leakage correction in paediatric brain tumours.

Authors:  Jan Novak; Stephanie Barbara Withey; Shaheen Lateef; Lesley MacPherson; Benjamin Pinkey; Andrew C Peet
Journal:  Br J Radiol       Date:  2019-01-03       Impact factor: 3.039

  10 in total

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