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Published online before print March 8, 2006, doi:10.1212/01.wnl.0000202524.43850.81)
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Volume 66, Number 8, April 25, 2006
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Received June 30, 2005
Accepted December 20, 2005

MR diffusion-weighted imaging and outcome prediction after ischemic stroke

P. J. Hand FRACP, MD, J. M. Wardlaw FRCP, FRCR, MD, FMedSci*, C. S. Rivers MSc, P. A. Armitage PhD, M. E. Bastin PhD, R. I. Lindley FRCP(Edin), FRACP, MD, and M. S. Dennis FRCP, MD

From the Divisions of Clinical Neurosciences (J.M.W., C.S.R., P.A.A.) and Medical Physics (M.E.B., M.S.D.), University of Edinburgh, Western General Hospital, Edinburgh, UK; RMH Stroke Centre (P.J.H.), Department of Neurology, Royal Melbourne Hospital and Department of Medicine (Neuroscience), Monash University (Alfred Hospital Campus), Victoria Australia; and Department of Geriatric Medicine (R.I.L.), Western Clinical School, University of Sydney, Westmead Hospital, New South Wales, Australia.


* To whom correspondence should be addressed. E-mail: joanna.wardlaw{at}ed.ac.uk.

Abstract-- Background: MR diffusion-weighted imaging (DWI) shows acute ischemic lesions early after stroke so it might improve outcome prediction and reduce sample sizes in stroke treatment trials. Previous studies of DWI and outcome produced conflicting results. Objective: To determine whether DWI lesion characteristics independently predict outcome in a broad range of patients with acute stroke. Methods: The authors recruited hospital-admitted patients with all severities of suspected stroke, assessed stroke severity on the NIH Stroke Scale (NIHSS), performed early brain DWI, and assessed outcome at 3 months (modified Rankin Scale). Clinical data and DWI lesion parameters were evaluated in a logistic regression model to identify independent predictors of outcome at 3 months and a previously described "Three-Item Scale" (including DWI) was tested for outcome prediction. Results: Among 82 patients (mean NIHSS 7.1 [±6.3 SD]), the only independent outcome predictors were age and stroke severity. Neither DWI lesion volume nor apparent diffusion coefficient nor the previously described Three-Item Scale predicted outcome independently. Comparison with previous studies suggested that DWI may predict outcome only in patients with more severe cortical ischemic strokes. Conclusions: Across a broad range of stroke severities, diffusion-weighted imaging (DWI) did not predict outcome beyond that of key clinical variables. Thus, DWI is unlikely to reduce sample sizes in acute stroke trials assessing functional outcome, especially where estimated treatment effects are modest.




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