Literature DB >> 16891322

Characterizing physiological heterogeneity of infarction risk in acute human ischaemic stroke using MRI.

Ona Wu1, Søren Christensen, Niels Hjort, Rick M Dijkhuizen, Thomas Kucinski, Jens Fiehler, Götz Thomalla, Joachim Röther, Leif Østergaard.   

Abstract

Viable tissues at risk of infarction in acute stroke patients have been hypothesized to be detectable as volumetric mismatches between lesions on perfusion-weighted (PWI) and diffusion-weighted magnetic resonance imaging (DWI). Because tissue response to ischaemic injury and to therapeutic intervention is tissue- and patient-dependent, changes in infarct progression due to treatment may be better detected with voxel-based methods than with volumetric mismatches. Acute DWI and PWI were combined using a generalized linear model (GLM) to predict infarction risk on a voxel-wise basis for patients treated either with non-thrombolytic (Group 1; n = 11) or with thrombolytic therapy (Group 2; n = 27). Predicted infarction risk for both groups was evaluated in four ipsilateral regions of interest: tissue acutely abnormal on DWI (Core), tissue acutely abnormal on PWI but normal on DWI that either infarcts (Recruited) or does not (Salvaged), and tissue normal on both DWI and PWI that does not infarct (Normal) by follow-up imaging > or = 5 days. The performance of the models was significantly reduced for the thrombolysed group compared with the group receiving standard treatment, suggesting an alteration in natural progression of the ischaemic cascade. Average GLM-predicted infarction risk values in the four regions were different from one another for both groups. GLM-predicted infarction risk in Salvaged tissue was significantly higher (P = 0.02) for thrombolysed patients than for non-thrombolysed patients, suggesting that thrombolysis rescued tissue with higher infarction risk than typically measured in tissue that spontaneously recovered. The observed spatial heterogeneity of GLM-predicted infarction risk values probably reflects the varying degrees of tissue injury and salvageability that exist after stroke. MRI-based algorithms may therefore provide a more sensitive means for monitoring therapeutic effects on a voxel-wise basis.

Entities:  

Mesh:

Year:  2006        PMID: 16891322     DOI: 10.1093/brain/awl183

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  26 in total

1.  On limitations of studies and limitations of therapy options for carotid stenosis: why play golf with only a sand wedge?

Authors:  Jens Fiehler
Journal:  Neuroradiology       Date:  2010-05-14       Impact factor: 2.804

2.  MRI of blood-brain barrier permeability in cerebral ischemia.

Authors:  Quan Jiang; James R Ewing; Michael Chopp
Journal:  Transl Stroke Res       Date:  2012-03       Impact factor: 6.829

3.  Early experience of translating pH-weighted MRI to image human subjects at 3 Tesla.

Authors:  Phillip Zhe Sun; Thomas Benner; William A Copen; A Gregory Sorensen
Journal:  Stroke       Date:  2010-10       Impact factor: 7.914

Review 4.  Imaging in acute stroke--a personal view.

Authors:  Thomas Kucinski
Journal:  Klin Neuroradiol       Date:  2009-05-15

5.  Future trials of endovascular mechanical recanalisation therapy in acute ischemic stroke patients: a position paper endorsed by ESMINT and ESNR : part I: Current situation and major research questions.

Authors:  Jens Fiehler; Michael Söderman; Francis Turjman; Philip M White; Søren Jacob Bakke; Salvatore Mangiafico; Rüdiger von Kummer; Mario Muto; Christophe Cognard; Jan Gralla
Journal:  Neuroradiology       Date:  2012-09-05       Impact factor: 2.804

6.  Future trials of endovascular mechanical recanalisation therapy in acute ischemic stroke patients - a position paper endorsed by ESMINT and ESNR : part II: methodology of future trials.

Authors:  Jens Fiehler; Michael Söderman; Francis Turjman; Philip M White; Søren Jacob Bakke; Salvatore Mangiafico; Rüdiger von Kummer; Mario Muto; Christophe Cognard; Jan Gralla
Journal:  Neuroradiology       Date:  2012-09-05       Impact factor: 2.804

7.  Defining the ischemic penumbra using hyperacute neuroimaging: deriving quantitative ischemic thresholds.

Authors:  Andria L Ford; Hongyu An; Katie D Vo; Weili Lin; Jin-Moo Lee
Journal:  Transl Stroke Res       Date:  2012-05-01       Impact factor: 6.829

8.  Multivariate dynamic prediction of ischemic infarction and tissue salvage as a function of time and degree of recanalization.

Authors:  André Kemmling; Fabian Flottmann; Nils Daniel Forkert; Jens Minnerup; Walter Heindel; Goetz Thomalla; Bernd Eckert; Michael Knauth; Marios Psychogios; Soenke Langner; Jens Fiehler
Journal:  J Cereb Blood Flow Metab       Date:  2015-07-08       Impact factor: 6.200

9.  Multiparametric magnetic resonance imaging including oxygenation mapping of experimental ischaemic stroke.

Authors:  Ligia Simões Braga Boisserand; Benjamin Lemasson; Lydiane Hirschler; Anaïck Moisan; Violaine Hubert; Emmanuel L Barbier; Chantal Rémy; Olivier Detante
Journal:  J Cereb Blood Flow Metab       Date:  2016-01-01       Impact factor: 6.200

Review 10.  Systematic review of CT and MR perfusion imaging for assessment of acute cerebrovascular disease.

Authors:  J M Provenzale; K Shah; U Patel; D C McCrory
Journal:  AJNR Am J Neuroradiol       Date:  2008-06-26       Impact factor: 3.825

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.