Literature DB >> 20595665

Combining acute diffusion-weighted imaging and mean transmit time lesion volumes with National Institutes of Health Stroke Scale Score improves the prediction of acute stroke outcome.

Albert J Yoo1, Elizabeth R Barak, William A Copen, Shahmir Kamalian, Leila Rezai Gharai, Muhammad A Pervez, Lee H Schwamm, R Gilberto González, Pamela W Schaefer.   

Abstract

BACKGROUND AND
PURPOSE: The purpose of this study was to determine whether acute diffusion-weighted imaging (DWI) and mean transit time (MTT) lesion volumes and presenting National Institutes of Health Stroke Scale (NIHSS) can identify patients with acute ischemic stroke who will have a high probability of good and poor outcomes.
METHODS: Fifty-four patients with acute ischemic stroke who had MRI within 9 hours of symptom onset and 3-month follow-up with modified Rankin scale were evaluated. Acute DWI and MTT lesion volumes and baseline NIHSS scores were calculated. Clinical outcomes were considered good if the modified Rankin Scale was 0 to 2.
RESULTS: The 33 of 54 (61%) patients with good outcomes had significantly smaller DWI lesion volumes (P=0.0001), smaller MTT lesion volumes (P<0.0001), and lower NIHSS scores (P<0.0001) compared with those with poor outcomes. Receiver operating characteristic curves for DWI, MTT, and NIHSS relative to poor outcome had areas under the curve of 0.889, 0.854, and 0.930, respectively, which were not significantly different. DWI and MTT lesion volumes predicted outcome better than mismatch volume or percentage mismatch. All patients with a DWI volume >72 mL (13 of 54) and an NIHSS score >20 (6 of 54) had poor outcomes. All patients with an MTT volume of <47 mL (16 of 54) and an NIHSS score <8 (17 of 54) had good outcomes. Combining clinical and imaging thresholds improved prognostic yield (70%) over clinical (43%) or imaging (54%) thresholds alone (P=0.01).
CONCLUSIONS: Combining quantitative DWI and MTT with NIHSS predicts good and poor outcomes with high probability and is superior to NIHSS alone.

Entities:  

Mesh:

Year:  2010        PMID: 20595665     DOI: 10.1161/STROKEAHA.110.582874

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  44 in total

1.  Managing malignant cerebral infarction.

Authors:  J Marc Simard; Juan Sahuquillo; Kevin N Sheth; Kristopher T Kahle; Brian P Walcott
Journal:  Curr Treat Options Neurol       Date:  2011-04       Impact factor: 3.598

2.  Regional prediction of tissue fate in acute ischemic stroke.

Authors:  Fabien Scalzo; Qing Hao; Jeffry R Alger; Xiao Hu; David S Liebeskind
Journal:  Ann Biomed Eng       Date:  2012-05-17       Impact factor: 3.934

3.  Admission insular infarction >25% is the strongest predictor of large mismatch loss in proximal middle cerebral artery stroke.

Authors:  Shervin Kamalian; Andre Kemmling; Roderick C Borgie; Livia T Morais; Seyedmehdi Payabvash; Ana M Franceschi; Shahmir Kamalian; Albert J Yoo; Karen L Furie; Michael H Lev
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4.  Multimodal imaging in acute ischemic stroke.

Authors:  William A Copen
Journal:  Curr Treat Options Cardiovasc Med       Date:  2015-03

Review 5.  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

Review 6.  Clinical MRI of acute ischemic stroke.

Authors:  R Gilberto González
Journal:  J Magn Reson Imaging       Date:  2012-08       Impact factor: 4.813

7.  Apparent diffusion coefficient threshold for delineation of ischemic core.

Authors:  Archana Purushotham; Bruce C V Campbell; Matus Straka; Michael Mlynash; Jean-Marc Olivot; Roland Bammer; Stephanie M Kemp; Gregory W Albers; Maarten G Lansberg
Journal:  Int J Stroke       Date:  2013-06-27       Impact factor: 5.266

8.  Combining MRI with NIHSS thresholds to predict outcome in acute ischemic stroke: value for patient selection.

Authors:  P W Schaefer; B Pulli; W A Copen; J A Hirsch; T Leslie-Mazwi; L H Schwamm; O Wu; R G González; A J Yoo
Journal:  AJNR Am J Neuroradiol       Date:  2014-09-25       Impact factor: 3.825

9.  Malignant CTA collateral profile is highly specific for large admission DWI infarct core and poor outcome in acute stroke.

Authors:  L C S Souza; A J Yoo; Z A Chaudhry; S Payabvash; A Kemmling; P W Schaefer; J A Hirsch; K L Furie; R G González; R G Nogueira; M H Lev
Journal:  AJNR Am J Neuroradiol       Date:  2012-03-01       Impact factor: 3.825

10.  Imaging Biomarkers for Intra-arterial Stroke Therapy.

Authors:  Olvert A Berkhemer; Shervin Kamalian; R Gilberto González; Charles B L M Majoie; Albert J Yoo
Journal:  Cardiovasc Eng Technol       Date:  2013-12-01       Impact factor: 2.495

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