Literature DB >> 34362957

Quantitative susceptibility mapping in ischemic stroke patients after successful recanalization.

Jasmin Probst1, Marco Rohner1, Malin Zahn1, Marco Piccirelli2, Athina Pangalu2, Andreas Luft1,3, Andreas Deistung4, Jan Klohs5, Susanne Wegener6.   

Abstract

Quantitative susceptibility mapping (QSM) is a novel processing method for gradient-echo magnetic resonance imaging (MRI). Higher magnetic susceptibility in cortical veins have been observed on susceptibility maps in the ischemic hemisphere of stroke patients, indicating an increased oxygen extraction fraction (OEF). Our goal was to investigate susceptibility in veins of stroke patients after successful recanalization in order to analyze the value of QSM in predicting tissue prognosis and clinical outcome. We analyzed MR images of 23 patients with stroke due to unilateral middle cerebral artery (MCA)-M1/M2 occlusion acquired 24-72 h after successful thrombectomy. The susceptibilities of veins were obtained from QSM and compared between the stroke territory, the ipsilateral non-ischemic MCA territory and the contralateral MCA territory. As outcome variables, early infarct size and functional disability (modified Rankin Scale, mRS) after 3-5 months was used. The median susceptibility value of cortical veins in the ischemic core was 41% lower compared to the ipsilateral non-ischemic MCA territory and 38% lower than on the contralateral MCA territory. Strikingly, in none of the patients prominent vessels with high susceptibility signal were found after recanalization. Venous susceptibility values within the infarct did not correlate with infarct volume or functional disability after 3-5 months. Low venous susceptibility within the infarct core after successful recanalization of the occluded vessel likely indicates poor oxygen extraction arising from tissue damage. We did not identify peri-infarct tissue with increased susceptibility values as potential surrogate of former penumbral areas. We found no correlation of QSM parameters with infarct size or outcome.
© 2021. The Author(s).

Entities:  

Year:  2021        PMID: 34362957     DOI: 10.1038/s41598-021-95265-3

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  33 in total

1.  Susceptibility weighted imaging (SWI).

Authors:  E Mark Haacke; Yingbiao Xu; Yu-Chung N Cheng; Jürgen R Reichenbach
Journal:  Magn Reson Med       Date:  2004-09       Impact factor: 4.668

2.  Nonlinear formulation of the magnetic field to source relationship for robust quantitative susceptibility mapping.

Authors:  Tian Liu; Cynthia Wisnieff; Min Lou; Weiwei Chen; Pascal Spincemaille; Yi Wang
Journal:  Magn Reson Med       Date:  2012-04-09       Impact factor: 4.668

3.  Susceptibility mapping in the human brain using threshold-based k-space division.

Authors:  Sam Wharton; Andreas Schäfer; Richard Bowtell
Journal:  Magn Reson Med       Date:  2010-05       Impact factor: 4.668

Review 4.  Foundations of MRI phase imaging and processing for Quantitative Susceptibility Mapping (QSM).

Authors:  Ferdinand Schweser; Andreas Deistung; Jürgen R Reichenbach
Journal:  Z Med Phys       Date:  2015-12-15       Impact factor: 4.820

5.  Quantitative oxygenation venography from MRI phase.

Authors:  Audrey P Fan; Berkin Bilgic; Louis Gagnon; Thomas Witzel; Himanshu Bhat; Bruce R Rosen; Elfar Adalsteinsson
Journal:  Magn Reson Med       Date:  2013-09-04       Impact factor: 4.668

6.  Quantitative susceptibility map reconstruction from MR phase data using bayesian regularization: validation and application to brain imaging.

Authors:  Ludovic de Rochefort; Tian Liu; Bryan Kressler; Jing Liu; Pascal Spincemaille; Vincent Lebon; Jianlin Wu; Yi Wang
Journal:  Magn Reson Med       Date:  2010-01       Impact factor: 4.668

Review 7.  Clinical applications of susceptibility weighted MR imaging of the brain - a pictorial review.

Authors:  Bejoy Thomas; Sivaraman Somasundaram; Krishnamoorthy Thamburaj; Chandrasekharan Kesavadas; Arun Kumar Gupta; Narendra K Bodhey; Tirur Raman Kapilamoorthy
Journal:  Neuroradiology       Date:  2007-10-11       Impact factor: 2.804

8.  Quantitative susceptibility mapping of human brain reflects spatial variation in tissue composition.

Authors:  Wei Li; Bing Wu; Chunlei Liu
Journal:  Neuroimage       Date:  2011-01-09       Impact factor: 6.556

Review 9.  Quantitative Susceptibility Mapping: Concepts and Applications.

Authors:  J R Reichenbach; F Schweser; B Serres; A Deistung
Journal:  Clin Neuroradiol       Date:  2015-07-22       Impact factor: 3.649

10.  Evaluation of the ischemic penumbra focusing on the venous drainage: the role of susceptibility weighted imaging (SWI) in pediatric ischemic cerebral stroke.

Authors:  Avner Meoded; Andrea Poretti; Jane E Benson; Aylin Tekes; Thierry A G M Huisman
Journal:  J Neuroradiol       Date:  2013-07-01       Impact factor: 3.447

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