Literature DB >> 11818605

MR imaging in acute stroke: diffusion-weighted and perfusion imaging parameters for predicting infarct size.

Hans-Jörg Wittsack1, Afra Ritzl, Gereon R Fink, Frank Wenserski, Mario Siebler, Rüdiger J Seitz, Ulrich Mödder, Hans-Joachim Freund.   

Abstract

PURPOSE: To investigate the predictive value of the ischemic lesion size, as depicted in the acute stroke phase on diffusion-weighted magnetic resonance (MR) images and time-to-peak (TTP) maps of tissue perfusion imaging, for infarct size, as derived from T2-weighted imaging in the postacute phase.
MATERIALS AND METHODS: Fifty patients who underwent diffusion-weighted and perfusion imaging within 1-24 hours after stroke onset and a follow-up T2-weighted investigation after about 8 days were included. Lesion volumes were evaluated by using a semiautomatic thresholding technique. Volumetric results of acute diffusion-weighted and perfusion imaging were analyzed in comparison with follow-up T2-weighted images and in terms of the time difference between symptom onset and initial MR imaging.
RESULTS: At diffusion-weighted imaging, the acute lesion defined by a signal intensity increase of more than 20%, compared with the contralateral side, showed the best correlation with the infarct size after 1 week. At perfusion imaging, the best predictor relative to the contralateral side was a delay of more than 6 seconds on TTP maps. Temporal analysis of volumetric results, which depended on the time difference between symptom onset and examination, revealed two patient subgroups.
CONCLUSION: Diffusion-weighted imaging helped to predict the size of the lesion on T2-weighted images obtained after about 8 days in patients with a symptom onset of more than 4 hours (r = 0.96), while in patients with a symptom onset of less than 4 hours, perfusion imaging provided important additional information about brain tissue with impaired perfusion.

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Year:  2002        PMID: 11818605     DOI: 10.1148/radiol.2222001731

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  26 in total

1.  Quantitative cerebral blood flow measurement with dynamic perfusion CT using the vascular-pixel elimination method: comparison with H2(15)O positron emission tomography.

Authors:  Kohsuke Kudo; Satoshi Terae; Chietsugu Katoh; Masaki Oka; Tohru Shiga; Nagara Tamaki; Kazuo Miyasaka
Journal:  AJNR Am J Neuroradiol       Date:  2003-03       Impact factor: 3.825

2.  Statistical atlas of acute stroke from magnetic resonance diffusion-weighted-images of the brain.

Authors:  Michel Bilello; Zhiqiang Lao; Jaroslaw Krejza; Argye E Hillis; Edward H Herskovits
Journal:  Neuroinformatics       Date:  2006

Review 3.  Neuroimaging of ischemia and infarction.

Authors:  Erica C Sá de Camargo; Walter J Koroshetz
Journal:  NeuroRx       Date:  2005-04

4.  Multimodal MR examination in acute ischemic stroke.

Authors:  D M Mezzapesa; M Petruzzellis; V Lucivero; M Prontera; A Tinelli; M Sancilio; A Carella; F Federico
Journal:  Neuroradiology       Date:  2006-03-01       Impact factor: 2.804

5.  Perfusion MRI before and after acetazolamide administration for assessment of cerebrovascular reserve capacity in patients with symptomatic internal carotid artery (ICA) occlusion: comparison with 99mTc-ECD SPECT.

Authors:  J Ma; J H Mehrkens; M Holtmannspoetter; R Linke; R Schmid-Elsaesser; H-J Steiger; H Brueckmann; R Bruening
Journal:  Neuroradiology       Date:  2007-01-03       Impact factor: 2.804

Review 6.  Physiologic imaging in acute stroke: Patient selection.

Authors:  Clinton D Morgan; Marcus Stephens; Scott L Zuckerman; Magarya S Waitara; Peter J Morone; Michael C Dewan; J Mocco
Journal:  Interv Neuroradiol       Date:  2015-06-10       Impact factor: 1.610

7.  Evidence-based guideline: The role of diffusion and perfusion MRI for the diagnosis of acute ischemic stroke: report of the Therapeutics and Technology Assessment Subcommittee of the American Academy of Neurology.

Authors:  P D Schellinger; R N Bryan; L R Caplan; J A Detre; R R Edelman; C Jaigobin; C S Kidwell; J P Mohr; M Sloan; A G Sorensen; S Warach
Journal:  Neurology       Date:  2010-07-13       Impact factor: 9.910

8.  Infarct Evolution in a Large Animal Model of Middle Cerebral Artery Occlusion.

Authors:  Mohammed Salman Shazeeb; Robert M King; Olivia W Brooks; Ajit S Puri; Nils Henninger; Johannes Boltze; Matthew J Gounis
Journal:  Transl Stroke Res       Date:  2019-09-03       Impact factor: 6.829

9.  Peripheral blood levels of matrix metalloproteinase-9 predict lesion volume in acute stroke.

Authors:  Nils H Ulrich; T Dehmel; H J Wittsack; B C Kieseier; R J Seitz
Journal:  Neurol Sci       Date:  2012-03-07       Impact factor: 3.307

10.  Increased susceptibility of asymmetrically prominent cortical veins correlates with misery perfusion in patients with occlusion of the middle cerebral artery.

Authors:  Yu Luo; Zhongying Gong; Yongming Zhou; Binge Chang; Chao Chai; Taiyuan Liu; Yanhong Han; Meiyun Wang; Tianyi Qian; E Mark Haacke; Shuang Xia
Journal:  Eur Radiol       Date:  2016-09-21       Impact factor: 5.315

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