Literature DB >> 17683090

Prediction of hemorrhagic transformation after recanalization therapy using T2*-permeability magnetic resonance imaging.

Oh Young Bang1, Brian H Buck, Jeffrey L Saver, Jeffry R Alger, Sa Rah Yoon, Sidney Starkman, Bruce Ovbiagele, Doojin Kim, Latisha K Ali, Nerses Sanossian, Reza Jahan, Gary R Duckwiler, Fernando Viñuela, Noriko Salamon, J Pablo Villablanca, David S Liebeskind.   

Abstract

OBJECTIVE: Predicting hemorrhagic transformation (HT) is critical in the setting of recanalization therapy for acute stroke. Dedicated magnetic resonance imaging (MRI) sequences for detection of increased blood-brain barrier (BBB) permeability recently have been developed. We evaluated the ability of a novel MRI permeability technique to detect baseline derangements predictive of various forms of HT after recanalization therapy.
METHODS: We retrospectively analyzed the clinical and pretreatment MRI data on patients undergoing recanalization therapy for acute cerebral ischemia at a university medical center from January 2004 to November 2006. Pretreatment MRI permeability images derived from perfusion source data were compared with posttreatment imaging to evaluate whether baseline BBB permeability derangements may predict HT after recanalization therapy. The use of a novel permeability technique to illustrate BBB derangements was based on the detection of decreased signal intensity at later time points in perfusion MRI acquisition, signifying continued local accumulation of contrast caused by leakage.
RESULTS: Among 32 patients, some degree of HT occurred in 12. Permeability image abnormalities at baseline were present in 7 of 12 patients with HT and none of the 20 patients without HT on follow-up images. The sensitivity of permeability abnormality for parenchymal hematoma was 83%. False-negative findings were noted in five cases, most commonly asymptomatic or minor HT after mechanical clot retrieval.
INTERPRETATION: Permeability images derived from pretreatment perfusion MRI source data may identify patients at risk for HT with high specificity. Our preliminary demonstration of permeability imaging based on standard perfusion data for prediction of hemorrhage merits further study with dedicated MRI BBB permeability acquisitions and multicenter validation.

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Year:  2007        PMID: 17683090     DOI: 10.1002/ana.21174

Source DB:  PubMed          Journal:  Ann Neurol        ISSN: 0364-5134            Impact factor:   10.422


  58 in total

1.  Validation of in vivo magnetic resonance imaging blood-brain barrier permeability measurements by comparison with gold standard histology.

Authors:  Angelika Hoffmann; Jörg Bredno; Michael F Wendland; Nikita Derugin; Jason Hom; Tibor Schuster; Hua Su; Peter T Ohara; William L Young; Max Wintermark
Journal:  Stroke       Date:  2011-06-02       Impact factor: 7.914

2.  Hyperintense acute reperfusion marker on FLAIR is not associated with early haemorrhagic transformation in the elderly.

Authors:  Michal Rozanski; Martin Ebinger; Wolf U Schmidt; Benjamin Hotter; Sandra Pittl; Peter U Heuschmann; Jan G Jungehuelsing; Jochen B Fiebach
Journal:  Eur Radiol       Date:  2010-07-21       Impact factor: 5.315

3.  Determinants of Intracranial Hemorrhage Occurrence and Outcome after Neurothrombectomy Therapy: Insights from the Solitaire FR With Intention For Thrombectomy Randomized Trial.

Authors:  R Raychev; R Jahan; D Liebeskind; W Clark; R G Nogueira; J Saver
Journal:  AJNR Am J Neuroradiol       Date:  2015-08-27       Impact factor: 3.825

4.  Incomplete mechanical recanalization of middle cerebral artery occlusions facilitates endogenous recanalization within 5 h.

Authors:  Yince Loh; Zhongsong Shi; David Liebeskind; Reza Jahan; Nestor Gonzalez; Paul M Vespa; Sidney Starkman; Jeffrey L Saver; Satoshi Tateshima; Fernando Vinuela; Gary Duckwiler
Journal:  J Neurointerv Surg       Date:  2012-02-07       Impact factor: 5.836

5.  MRI blood-brain barrier permeability measurements to predict hemorrhagic transformation in a rat model of ischemic stroke.

Authors:  Angelika Hoffmann; Jörg Bredno; Michael F Wendland; Nikita Derugin; Jason Hom; Tibor Schuster; Claus Zimmer; Hua Su; Peter T Ohara; William L Young; Max Wintermark
Journal:  Transl Stroke Res       Date:  2012-09-16       Impact factor: 6.829

Review 6.  Hemorrhagic transformation after ischemic stroke in animals and humans.

Authors:  Glen C Jickling; DaZhi Liu; Boryana Stamova; Bradley P Ander; Xinhua Zhan; Aigang Lu; Frank R Sharp
Journal:  J Cereb Blood Flow Metab       Date:  2013-11-27       Impact factor: 6.200

Review 7.  Matrix metalloproteinases as therapeutic targets for stroke.

Authors:  Yi Yang; Gary A Rosenberg
Journal:  Brain Res       Date:  2015-04-25       Impact factor: 3.252

8.  The HAT Score: a simple grading scale for predicting hemorrhage after thrombolysis.

Authors:  M Lou; A Safdar; M Mehdiratta; S Kumar; G Schlaug; L Caplan; D Searls; M Selim
Journal:  Neurology       Date:  2008-10-28       Impact factor: 9.910

9.  Multi-center prediction of hemorrhagic transformation in acute ischemic stroke using permeability imaging features.

Authors:  Fabien Scalzo; Jeffry R Alger; Xiao Hu; Jeffrey L Saver; Krishna A Dani; Keith W Muir; Andrew M Demchuk; Shelagh B Coutts; Marie Luby; Steven Warach; David S Liebeskind
Journal:  Magn Reson Imaging       Date:  2013-04-13       Impact factor: 2.546

Review 10.  Acute stroke magnetic resonance imaging: current status and future perspective.

Authors:  Stephan P Kloska; Max Wintermark; Tobias Engelhorn; Jochen B Fiebach
Journal:  Neuroradiology       Date:  2009-12-05       Impact factor: 2.804

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