Literature DB >> 22373532

Quantification of perfusion and permeability in multiple sclerosis: dynamic contrast-enhanced MRI in 3D at 3T.

Michael Ingrisch1, Steven Sourbron, Dominik Morhard, Birgit Ertl-Wagner, Tania Kümpfel, Reinhard Hohlfeld, Maximilian Reiser, Christian Glaser.   

Abstract

BACKGROUND AND
PURPOSE: The quantification of cerebral blood flow (CBF), cerebral blood volume (CBV), and blood-brain barrier permeability in scattered lesions in the brain is a methodological challenge. We aimed to investigate the feasibility of a 3D T1-weighted dynamic contrast-enhanced (DCE) MRI acquisition in combination with a 2-compartment modeling approach for the quantification of CBF, CBV and permeability surface area product (PS) in lesions, and normal-appearing white matter (NAWM) in patients with multiple sclerosis (MS).
MATERIAL AND METHODS: In all, 19 MS patients (mean age 35 years, 12 female) underwent DCE-MRI with a 3D T1-weighted spoiled gradient-echo sequence on a 3T MRI scanner. A total of 44 slices (thickness 3 mm) with an in-plane resolution of 1.7 × 1.7 mm(2) (matrix size 128 × 104), providing coverage of the whole brain, were acquired every 2.1 seconds over a total measurement time of 420 s. Data postprocessing was performed using a set of 2-compartment models with automated model selection; CBF, CBV, and PS as a measure of blood-brain barrier leakage were determined in contrast-enhancing (CE) and nonenhancing lesions as well as in NAWM.
RESULTS: Perfusion quantification produced reasonable values in lesions as well as in NAWM. In CE lesions, CBF (22.9 (22.7) vs. 15.8 (6.7) mL/100 mL/min), CBV (1.18 (0.48) vs. 0.76 (0.19) mL/100 mL), and PS (0.98 (0.46) vs. 0.04 (0.03) mL/100 mL/min) were significantly (P < 0.001) higher than in NAWM. In nonenhancing lesions, a weakly (P < 0.05) significantly increased CBV of 1.00 (0.35) mL/100 mL, compared with NAWM, was observed.
CONCLUSION: Our study demonstrates the feasibility of 3D T1-weighted DCE-MRI for the quantitative assessment of CBF, CBV, and PS in NAWM as well as in multiple MS lesions scattered throughout the brain, even without previous knowledge of their location. Quantification on the region level produced reasonable values both in lesions and in NAWM, but parameter maps would benefit from an increase in contrast-to-noise ratio. The increased values of CBF, CBV, and PS in CE lesions may reflect inflammatory activity, the heterogeneity of parameter estimates suggests a potential for lesion characterization. NAWM appears hypoperfused, this is in accordance with previous studies, but requires validation with a control group.

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Year:  2012        PMID: 22373532     DOI: 10.1097/RLI.0b013e31823bfc97

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  37 in total

1.  Normal-appearing white matter permeability distinguishes poor cognitive performance in processing speed and working memory.

Authors:  A Eilaghi; A Kassner; I Sitartchouk; P L Francis; R Jakubovic; A Feinstein; R I Aviv
Journal:  AJNR Am J Neuroradiol       Date:  2013-05-30       Impact factor: 3.825

Review 2.  Tracer-kinetic modeling of dynamic contrast-enhanced MRI and CT: a primer.

Authors:  Michael Ingrisch; Steven Sourbron
Journal:  J Pharmacokinet Pharmacodyn       Date:  2013-04-06       Impact factor: 2.745

3.  Improving bladder cancer imaging using 3-T functional dynamic contrast-enhanced magnetic resonance imaging.

Authors:  Huyen T Nguyen; Kamal S Pohar; Guang Jia; Zarine K Shah; Amir Mortazavi; Debra L Zynger; Lai Wei; Daniel Clark; Xiangyu Yang; Michael V Knopp
Journal:  Invest Radiol       Date:  2014-06       Impact factor: 6.016

4.  Intratumor distribution and test-retest comparisons of physiological parameters quantified by dynamic contrast-enhanced MRI in rat U251 glioma.

Authors:  Madhava P Aryal; Tavarekere N Nagaraja; Stephen L Brown; Mei Lu; Hassan Bagher-Ebadian; Guangliang Ding; Swayamprava Panda; Kelly Keenan; Glauber Cabral; Tom Mikkelsen; James R Ewing
Journal:  NMR Biomed       Date:  2014-08-14       Impact factor: 4.044

5.  Accurate determination of blood-brain barrier permeability using dynamic contrast-enhanced T1-weighted MRI: a simulation and in vivo study on healthy subjects and multiple sclerosis patients.

Authors:  Stig P Cramer; Henrik B W Larsson
Journal:  J Cereb Blood Flow Metab       Date:  2014-07-30       Impact factor: 6.200

6.  Assessment of the myelin water fraction in rodent spinal cord using T2-prepared ultrashort echo time MRI.

Authors:  Tim Klasen; Cornelius Faber
Journal:  MAGMA       Date:  2016-07-09       Impact factor: 2.310

7.  In vivo imaging and analysis of cerebrovascular hemodynamic responses and tissue oxygenation in the mouse brain.

Authors:  Kassandra Kisler; Divna Lazic; Melanie D Sweeney; Shane Plunkett; Mirna El Khatib; Sergei A Vinogradov; David A Boas; Sava Sakadži; Berislav V Zlokovic
Journal:  Nat Protoc       Date:  2018-05-24       Impact factor: 13.491

8.  Interpreting therapeutic effect in multiple sclerosis via MRI contrast enhancing lesions: now you see them, now you don't.

Authors:  Ilana R Leppert; S Narayanan; D Araújo; P S Giacomini; Y Lapierre; D L Arnold; G B Pike
Journal:  J Neurol       Date:  2014-02-26       Impact factor: 4.849

Review 9.  Blood-brain barrier breakdown in Alzheimer disease and other neurodegenerative disorders.

Authors:  Melanie D Sweeney; Abhay P Sagare; Berislav V Zlokovic
Journal:  Nat Rev Neurol       Date:  2018-01-29       Impact factor: 42.937

10.  Evaluation of chronic lead effects in the blood brain barrier system by DCE-CT.

Authors:  Huiying Gu; Paul R Territo; Scott A Persohn; Amanda A Bedwell; Kierra Eldridge; Rachael Speedy; Zhe Chen; Wei Zheng; Yansheng Du
Journal:  J Trace Elem Med Biol       Date:  2020-09-19       Impact factor: 3.849

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