Literature DB >> 19695822

Absolute quantification of cerebral blood flow: correlation between dynamic susceptibility contrast MRI and model-free arterial spin labeling.

Linda Knutsson1, Danielle van Westen, Esben T Petersen, Karin Markenroth Bloch, Stig Holtås, Freddy Ståhlberg, Ronnie Wirestam.   

Abstract

PURPOSE: To compare absolute cerebral blood flow (CBF) estimates obtained by model-free arterial spin labeling (ASL) and dynamic susceptibility contrast MRI (DSC-MRI), corrected for partial volume effects (PVEs).
METHODS: CBF was measured using DSC-MRI and model-free ASL (quantitative signal targeting with alternating radiofrequency labeling of arterial regions) at 3 T in 15 subjects with brain tumor, and the two modalities were compared with regard to CBF estimates in normal gray matter (GM) and DSC-to-ASL CBF ratios in selected tumor regions. The DSC-MRI CBF maps were calculated using a global arterial input function (AIF) from the sylvian-fissure region, but, in order to minimize PVEs, the AIF time integral was rescaled by a venous output function time integral obtained from the sagittal sinus.
RESULTS: In GM, the average DSC-MRI CBF estimate was 150+/-45 ml/(min 100 g) (mean+/-SD) while the corresponding ASL CBF was 44+/-10 ml/(min 100 g). The linear correlation between GM CBF estimates obtained by DSC-MRI and ASL was r=.89, and observed DSC-to-ASL CBF ratios differed by less than 3% between GM and tumor regions.
CONCLUSIONS: A satisfactory positive linear correlation between the CBF estimates obtained by model-free ASL and DSC-MRI was observed, and DSC-to-ASL CBF ratios showed no obvious tissue dependence.

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Year:  2009        PMID: 19695822     DOI: 10.1016/j.mri.2009.06.006

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  17 in total

1.  A qualitative comparison of arterial spin labelling and dynamic susceptibility contrast MRI in 52 children with a range of neurological conditions.

Authors:  Paul A Armitage; Nicholas Skipper; Daniel J A Connolly; Paul D Griffiths
Journal:  Br J Radiol       Date:  2016-11-18       Impact factor: 3.039

2.  Magnetic resonance temperature imaging-based quantification of blood flow-related energy losses.

Authors:  Christopher Dillon; Robert Roemer; Allison Payne
Journal:  NMR Biomed       Date:  2015-05-14       Impact factor: 4.044

3.  Susceptibility-based analysis of dynamic gadolinium bolus perfusion MRI.

Authors:  David Bonekamp; Peter B Barker; Richard Leigh; Peter C M van Zijl; Xu Li
Journal:  Magn Reson Med       Date:  2014-02-25       Impact factor: 4.668

4.  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

5.  Transcranial Doppler-Based Surrogates for Cerebral Blood Flow: A Statistical Study.

Authors:  Joseph Hart; Vera Novak; Charles Saunders; Pierre A Gremaud
Journal:  PLoS One       Date:  2016-11-23       Impact factor: 3.240

6.  Absolute arterial cerebral blood volume quantification using inflow vascular-space-occupancy with dynamic subtraction magnetic resonance imaging.

Authors:  Manus J Donahue; Ediri Sideso; Bradley J MacIntosh; James Kennedy; Ashok Handa; Peter Jezzard
Journal:  J Cereb Blood Flow Metab       Date:  2010-02-10       Impact factor: 6.200

7.  Correlation between arterial blood volume obtained by arterial spin labelling and cerebral blood volume in intracranial tumours.

Authors:  Danielle van Westen; Esben T Petersen; Ronnie Wirestam; Roger Siemund; Karin Markenroth Bloch; Freddy Ståhlberg; Isabella M Björkman-Burtscher; Linda Knutsson
Journal:  MAGMA       Date:  2011-05-19       Impact factor: 2.310

Review 8.  MR molecular imaging of tumor vasculature and vascular targets.

Authors:  Arvind P Pathak; Marie-France Penet; Zaver M Bhujwalla
Journal:  Adv Genet       Date:  2010       Impact factor: 1.944

9.  Heterogeneity of cortical lesions in multiple sclerosis: an MRI perfusion study.

Authors:  Denis Peruzzo; Marco Castellaro; Massimiliano Calabrese; Elisa Veronese; Francesca Rinaldi; Valentina Bernardi; Alice Favaretto; Paolo Gallo; Alessandra Bertoldo
Journal:  J Cereb Blood Flow Metab       Date:  2012-12-19       Impact factor: 6.200

10.  Perfusion MRI of brain tumours: a comparative study of pseudo-continuous arterial spin labelling and dynamic susceptibility contrast imaging.

Authors:  Hanna Järnum; Elena G Steffensen; Linda Knutsson; Ernst-Torben Fründ; Carsten Wiberg Simonsen; Søren Lundbye-Christensen; Ajit Shankaranarayanan; David C Alsop; Finn Taagehøj Jensen; Elna-Marie Larsson
Journal:  Neuroradiology       Date:  2009-10-20       Impact factor: 2.804

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