Literature DB >> 20087362

Use of magnetic resonance imaging to predict outcome after stroke: a review of experimental and clinical evidence.

Tracy D Farr1, Susanne Wegener.   

Abstract

Despite promising results in preclinical stroke research, translation of experimental data into clinical therapy has been difficult. One reason is the heterogeneity of the disease with outcomes ranging from complete recovery to continued decline. A successful treatment in one situation may be ineffective, or even harmful, in another. To overcome this, treatment must be tailored according to the individual based on identification of the risk of damage and estimation of potential recovery. Neuroimaging, particularly magnetic resonance imaging (MRI), could be the tool for a rapid comprehensive assessment in acute stroke with the potential to guide treatment decisions for a better clinical outcome. This review describes current MRI techniques used to characterize stroke in a preclinical research setting, as well as in the clinic. Furthermore, we will discuss current developments and the future potential of neuroimaging for stroke outcome prediction.

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Year:  2010        PMID: 20087362      PMCID: PMC2949172          DOI: 10.1038/jcbfm.2010.5

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  153 in total

1.  Inflammatory response after ischemic stroke: a USPIO-enhanced MRI study in patients.

Authors:  Norbert Nighoghossian; Marlène Wiart; Serkan Cakmak; Yves Berthezène; Laurent Derex; Tae-Hee Cho; Chantal Nemoz; François Chapuis; Guy-Louis Tisserand; Jean-Baptiste Pialat; Paul Trouillas; Jean-Claude Froment; Marc Hermier
Journal:  Stroke       Date:  2006-12-14       Impact factor: 7.914

Review 2.  The vulnerable, or high-risk, atherosclerotic plaque: noninvasive MR imaging for characterization and assessment.

Authors:  Tobias Saam; Thomas S Hatsukami; Norihide Takaya; Baocheng Chu; Hunter Underhill; William S Kerwin; Jianming Cai; Marina S Ferguson; Chun Yuan
Journal:  Radiology       Date:  2007-07       Impact factor: 11.105

Review 3.  Tissue specific perfusion imaging using arterial spin labeling.

Authors:  J A Detre; W Zhang; D A Roberts; A C Silva; D S Williams; D J Grandis; A P Koretsky; J S Leigh
Journal:  NMR Biomed       Date:  1994-03       Impact factor: 4.044

4.  Reversal of early diffusion-weighted magnetic resonance imaging abnormalities does not necessarily reflect tissue salvage in experimental cerebral ischemia.

Authors:  T M Ringer; T Neumann-Haefelin; R A Sobel; M E Moseley; M A Yenari
Journal:  Stroke       Date:  2001-10       Impact factor: 7.914

5.  Old microbleeds are a potential risk factor for cerebral bleeding after ischemic stroke: a gradient-echo T2*-weighted brain MRI study.

Authors:  N Nighoghossian; M Hermier; P Adeleine; K Blanc-Lasserre; L Derex; J Honnorat; F Philippeau; J F Dugor; J C Froment; P Trouillas
Journal:  Stroke       Date:  2002-03       Impact factor: 7.914

6.  Relation between cerebral perfusion territories and location of cerebral infarcts.

Authors:  Jeroen Hendrikse; Esben Thade Petersen; Amandine Chèze; Soke Miang Chng; Narayanaswamy Venketasubramanian; Xavier Golay
Journal:  Stroke       Date:  2009-03-19       Impact factor: 7.914

7.  A flow sensitive alternating inversion recovery (FAIR)-MRI protocol to measure hemispheric cerebral blood flow in a mouse stroke model.

Authors:  C Leithner; K Gertz; H Schröck; J Priller; K Prass; J Steinbrink; A Villringer; M Endres; U Lindauer; U Dirnagl; G Royl
Journal:  Exp Neurol       Date:  2007-10-18       Impact factor: 5.330

8.  Comparison of ischemic lesion evolution in embolic versus mechanical middle cerebral artery occlusion in Sprague Dawley rats using diffusion and perfusion imaging.

Authors:  Nils Henninger; Kenneth M Sicard; Karl F Schmidt; Jürgen Bardutzky; Marc Fisher
Journal:  Stroke       Date:  2006-03-23       Impact factor: 7.914

9.  The performance of MRI-based cerebral blood flow measurements in acute and subacute stroke compared with 15O-water positron emission tomography: identification of penumbral flow.

Authors:  Olivier Zaro-Weber; Walter Moeller-Hartmann; Wolf-Dieter Heiss; Jan Sobesky
Journal:  Stroke       Date:  2009-05-21       Impact factor: 7.914

10.  Does the acute diffusion-weighted imaging lesion represent penumbra as well as core? A combined quantitative PET/MRI voxel-based study.

Authors:  Joseph V Guadagno; Elizabeth A Warburton; Franklin I Aigbirhio; Piotr Smielewski; Tim D Fryer; Sally Harding; Christopher J Price; Jonathan H Gillard; T Adrian Carpenter; Jean-Claude Baron
Journal:  J Cereb Blood Flow Metab       Date:  2004-11       Impact factor: 6.200

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  27 in total

1.  A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation--With Application to Tumor and Stroke.

Authors:  Bjoern H Menze; Koen Van Leemput; Danial Lashkari; Tammy Riklin-Raviv; Ezequiel Geremia; Esther Alberts; Philipp Gruber; Susanne Wegener; Marc-Andre Weber; Gabor Szekely; Nicholas Ayache; Polina Golland
Journal:  IEEE Trans Med Imaging       Date:  2015-11-20       Impact factor: 10.048

Review 2.  Infarct topography and functional outcomes.

Authors:  Mark R Etherton; Natalia S Rost; Ona Wu
Journal:  J Cereb Blood Flow Metab       Date:  2017-03-27       Impact factor: 6.200

Review 3.  Neonatal ischemic brain injury: what every radiologist needs to know.

Authors:  Chaitra A Badve; Paritosh C Khanna; Gisele E Ishak
Journal:  Pediatr Radiol       Date:  2012-01-17

4.  Biomarkers of stroke recovery: Consensus-based core recommendations from the Stroke Recovery and Rehabilitation Roundtable.

Authors:  Lara A Boyd; Kathryn S Hayward; Nick S Ward; Cathy M Stinear; Charlotte Rosso; Rebecca J Fisher; Alexandre R Carter; Alex P Leff; David A Copland; Leeanne M Carey; Leonardo G Cohen; D Michele Basso; Jane M Maguire; Steven C Cramer
Journal:  Int J Stroke       Date:  2017-07       Impact factor: 5.266

5.  Neural function, injury, and stroke subtype predict treatment gains after stroke.

Authors:  Erin Burke Quinlan; Lucy Dodakian; Jill See; Alison McKenzie; Vu Le; Mike Wojnowicz; Babak Shahbaba; Steven C Cramer
Journal:  Ann Neurol       Date:  2014-12-04       Impact factor: 10.422

6.  Do early MRI signals predict lesion size in a neonatal stroke rat model?

Authors:  S Fau; C Po; C Goyenvalle; P Meric; C Charriaut-Marlangue
Journal:  AJNR Am J Neuroradiol       Date:  2012-05-03       Impact factor: 3.825

7.  From the Cover: MagneticResonance Imaging Reveals Progressive Brain Injury in Rats Acutely Intoxicated With Diisopropylfluorophosphate.

Authors:  Brad A Hobson; Sílvia Sisó; Douglas J Rowland; Danielle J Harvey; Donald A Bruun; Joel R Garbow; Pamela J Lein
Journal:  Toxicol Sci       Date:  2017-06-01       Impact factor: 4.849

8.  Determination of the brain-blood partition coefficient for water in mice using MRI.

Authors:  Christoph Leithner; Susanne Müller; Martina Füchtemeier; Ute Lindauer; Ulrich Dirnagl; Georg Royl
Journal:  J Cereb Blood Flow Metab       Date:  2010-09-15       Impact factor: 6.200

Review 9.  Magnetic resonance imaging of brain angiogenesis after stroke.

Authors:  Peter R Seevinck; Lisette H Deddens; Rick M Dijkhuizen
Journal:  Angiogenesis       Date:  2010-06-16       Impact factor: 9.596

10.  Automated core-penumbra quantification in neonatal ischemic brain injury.

Authors:  Nirmalya Ghosh; Xiangpeng Yuan; Christine I Turenius; Beatriz Tone; Kamalakar Ambadipudi; Evan Y Snyder; Andre Obenaus; Stephen Ashwal
Journal:  J Cereb Blood Flow Metab       Date:  2012-08-29       Impact factor: 6.200

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