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      Diffusion-Perfusion Mismatch in Single Subcortical Infarction: A Predictor of Early Neurological Deterioration and Poor Functional Outcome

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          Abstract

          Background/Aims: Early neurological deterioration (END) is frequently observed and related to poor functional outcome in patients with single subcortical infarction (SSI). We evaluated the role of diffusion-perfusion mismatch (DPM) as a predictor of END and functional outcome in patients with SSI. Methods: We retrospectively analyzed data for 274 patients with acute SSI. DPM was positive in the presence of a lesion on the perfusion map that was larger than that on the corresponding slice on diffusion-weighted imaging. END was defined as an increase of <1 points in the motor portion of the National Institute of Health Stroke Scale (NIHSS) within 72 h from MRI acquisition. Patients with a modified Rankin Scale (mRS) score of 3 or more at day 30 were considered having a poor functional outcome. Results: DPM was more frequently observed in the END (+) than in the END (-) group (21/35 (60.0%) vs. 50/239 (20.9%); p < 0.001). After adjusting for covariates, the presence of DPM and NIHSS score on admission were independently associated with END (DPM, OR 5.03, p < 0.001; NIHSS, OR 1.14, p = 0.033) and poor functional outcome (DPM, OR 2.44, p = 0.018; NIHSS, OR 1.48, p < 0.001). Conclusions: The DPM concept is applicable to prediction of END and functional disability in patients with SSI.

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          Most cited references39

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          Arterial territories of the human brain: cerebral hemispheres.

          The development of neuroimaging has allowed clinicians to improve clinicoanatomic correlations in patients with stroke. Anatomic structures are well delineated on MRI, but there is a lack of standardization in their arterial supply. As in our previous study depicting the arterial supply of the brainstem and cerebellum, we present a system of 12 axial sections of the hemispheres depicting the dominant arterial territories, the most important anatomic structures, and Brodmann's areas. The area of variation of the cortical territory of the anterior, middle, and posterior cerebral arteries is also represented. These sections may be used as a practical tool to determine arterial territories on CT or MRI, and may help establish consistent clinicoanatomic correlations in patients with supratentorial stroke.
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            The ischemic penumbra: operationally defined by diffusion and perfusion MRI.

            Identifying tissue at risk for infarction is important in deciding which patients would benefit most from potentially harmful therapies and provides a way to evaluate newer therapies with regard to the amount of ischemic tissue salvaged. To operationally define and characterize cerebral tissue at risk for stroke progression. We retrospectively selected 25 patients with an acute onset of a hemispheric stroke from our database who had undergone a combination of two diffusion-weighted MRI studies and a perfusion-weighted MRI study. We applied a logistic regression model using maps of the relative mean transit time and relative cerebral blood flow (rCBF) as well as three different maps of the relative cerebral blood volume (rCBV) to predict an operationally defined penumbra (region of mismatch between the diffusion lesion on day 1 and its extension 24 to 72 hours later). Maps of the rCBF and initial rCBV were significant predictors for identifying penumbral tissue. Our operationally defined penumbral region was characterized by a reduction in the initial rCBV (47% of contralateral control region [CCR]), an increase (163% of CCR) in the total rCBV, and a reduction (37% of CCR) in the rCBF, whereas the operationally defined ischemic core showed a more severe reduction in the rCBF (12% of CCR) and in the initial rCBV (19% of CCR). These MR indexes may allow the identification and quantification of viable but ischemically threatened cerebral tissue amenable to therapeutic interventions in the hyperacute care of stroke patients.
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              Comparison of neurological scales and scoring systems for acute stroke prognosis.

              Clinical trials routinely use stroke scales to compare baseline characteristics of treatment groups. It is unclear which stroke scale provides the most prognostic information. This often leads to collection of multiple scales in clinical trials. We aimed to determine which of several commonly used scales best predicted outcome. A single observer scored consecutive admissions to an acute stroke unit on the National Institutes of Health Stroke Scale (NIHSS), the Canadian Neurological Scale, and the Middle Cerebral Artery Neurological Score. Guy's prognostic score was determined from clinical data. Outcome at 2, 3, 6, and 12 months was categorized as good (alive at home) or poor (alive in care or dead). Predictive accuracy of the variables was compared by receiver operating characteristic curves and stepwise logistic regression. Of the 408 patients studied, 373 had confirmed acute stroke and completed follow-up. The three stroke rating scales each predicted 3-month outcome with an accuracy of .79 or greater. The NIHSS provided the most prognostic information: sensitivity to poor outcome, .71 (95% confidence interval [CI], .64 to .79); specificity, .90 (95% CI, .86 to .94); and overall accuracy, .83 (95% CI, .79 to .87). Logistic regression showed that the NIHSS added significantly to the predictive value of all other scores. No score added useful information to the NIHSS. A cut point of 13 on the NIHSS best predicted 3-month outcome. Baseline NIHSS best predicts 3-month outcome. The Canadian Neurological Scale and Middle Cerebral Artery Neurological Score also perform well. Baseline assessments in clinical trials only need to include a single stroke rating scale.
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                Author and article information

                Journal
                ENE
                Eur Neurol
                10.1159/issn.0014-3022
                European Neurology
                S. Karger AG
                0014-3022
                1421-9913
                2015
                June 2015
                23 May 2015
                : 73
                : 5-6
                : 353-359
                Affiliations
                Departments of aNeurology and bRadiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea; cSchool of Health in Social Science, University of Edinburgh, Edinburgh, UK
                Author notes
                *Gyeong-Moon Kim, MD, PhD, Department of Neurology, Samsung Medical Center, Sungkyunkwan University, 50 Irwon-dong, Gangnam-gu, Seoul 135-710 (South Korea), E-Mail kimgm@skku.edu
                Article
                430461 Eur Neurol 2015;73:353-359
                10.1159/000430461
                26021692
                8aa36f6b-9ce7-4aee-a105-ae5d2126fb03
                © 2015 S. Karger AG, Basel

                Copyright: All rights reserved. No part of this publication may be translated into other languages, reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, microcopying, or by any information storage and retrieval system, without permission in writing from the publisher. Drug Dosage: The authors and the publisher have exerted every effort to ensure that drug selection and dosage set forth in this text are in accord with current recommendations and practice at the time of publication. However, in view of ongoing research, changes in government regulations, and the constant flow of information relating to drug therapy and drug reactions, the reader is urged to check the package insert for each drug for any changes in indications and dosage and for added warnings and precautions. This is particularly important when the recommended agent is a new and/or infrequently employed drug. Disclaimer: The statements, opinions and data contained in this publication are solely those of the individual authors and contributors and not of the publishers and the editor(s). The appearance of advertisements or/and product references in the publication is not a warranty, endorsement, or approval of the products or services advertised or of their effectiveness, quality or safety. The publisher and the editor(s) disclaim responsibility for any injury to persons or property resulting from any ideas, methods, instructions or products referred to in the content or advertisements.

                History
                : 25 November 2014
                : 12 April 2015
                Page count
                Figures: 1, Tables: 3, References: 43, Pages: 7
                Categories
                Original Paper

                Geriatric medicine,Neurology,Cardiovascular Medicine,Neurosciences,Clinical Psychology & Psychiatry,Public health
                Prognosis,Diffusion-perfusion mismatch,Single subcortical infarction,Neurological deterioration

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