Literature DB >> 17066483

Magnetic resonance imaging profiles predict clinical response to early reperfusion: the diffusion and perfusion imaging evaluation for understanding stroke evolution (DEFUSE) study.

Gregory W Albers1, Vincent N Thijs, Lawrence Wechsler, Stephanie Kemp, Gottfried Schlaug, Elaine Skalabrin, Roland Bammer, Wataru Kakuda, Maarten G Lansberg, Ashfaq Shuaib, William Coplin, Scott Hamilton, Michael Moseley, Michael P Marks.   

Abstract

OBJECTIVE: To determine whether prespecified baseline magnetic resonance imaging (MRI) profiles can identify stroke patients who have a robust clinical response after early reperfusion when treated 3 to 6 hours after symptom onset.
METHODS: We conducted a prospective, multicenter study of 74 consecutive stroke patients admitted to academic stroke centers in North America and Europe. An MRI scan was obtained immediately before and 3 to 6 hours after treatment with intravenous tissue plasminogen activator 3 to 6 hours after symptom onset. Baseline MRI profiles were used to categorize patients into subgroups, and clinical responses were compared based on whether early reperfusion was achieved.
RESULTS: Early reperfusion was associated with significantly increased odds of achieving a favorable clinical response in patients with a perfusion/diffusion mismatch (odds ratio, 5.4; p = 0.039) and an even more favorable response in patients with the Target Mismatch profile (odds ratio, 8.7; p = 0.011). Patients with the No Mismatch profile did not appear to benefit from early reperfusion. Early reperfusion was associated with fatal intracranial hemorrhage in patients with the Malignant profile.
INTERPRETATION: For stroke patients treated 3 to 6 hours after onset, baseline MRI findings can identify subgroups that are likely to benefit from reperfusion therapies and can potentially identify subgroups that are unlikely to benefit or may be harmed.

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Year:  2006        PMID: 17066483     DOI: 10.1002/ana.20976

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


  380 in total

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Authors:  David S Liebeskind; Reza Jahan; Raul G Nogueira; Tudor G Jovin; Helmi L Lutsep; Jeffrey L Saver
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