Literature DB >> 17082505

Predictive value of ischemic lesion volume assessed with magnetic resonance imaging for neurological deficits and functional outcome poststroke: A critical review of the literature.

S K Schiemanck1, G Kwakkel, M W M Post, A J H Prevo.   

Abstract

OBJECTIVE: Ischemic lesion volume is assumed to be an important predictor of poststroke neurological deficits and functional outcome. This critical review examines the methodological quality of MRI studies and the predictive value of hemispheric infarct volume for neurological deficits (at body function level) and functional outcome (at activities level).
METHODS: Using Medline, PiCarta, and Embase to identify studies, 13 of the 747 identified studies met the authors' inclusion criteria. Subsequently, studies were tested for adherence to the key methodological criteria for internal, statistical, and external validity. Each criterion was weighted binary, and studies with 6 points or more were judged to be valid for assessing the predictive value of MRI for outcome.
RESULTS: The 13 included studies had several methodological weaknesses with respect to internal validity, and none of them took lesion location into account. Only a few used outcome measures according to the International Classification of Functioning, Disability and Health and followed patients beyond 6 months. Correlation coefficients between MRI lesion volume and outcomes were higher for outcomes defined at body function level (National Institutes of Health Stroke Scale; median 0.67; range: 0.57-0.91) than for those defined at the level of activities (Barthel Index; median -0.49; range: -0.33 to -0.74).
CONCLUSIONS: Methodological shortcomings of most studies confound the prognostic value of MRI in predicting stroke outcome, and few studies have focused on functional outcome. Future studies should investigate the added value of MRI volume over clinical neurological variables in predicting functional outcome beyond 6 months poststroke.

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Mesh:

Year:  2006        PMID: 17082505     DOI: 10.1177/1545968306289298

Source DB:  PubMed          Journal:  Neurorehabil Neural Repair        ISSN: 1545-9683            Impact factor:   3.919


  29 in total

1.  Magnetic resonance perfusion diffusion mismatch, thrombolysis, and clinical outcome in acute stroke.

Authors:  Angel Chamorro
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-11-29       Impact factor: 10.154

2.  Predicting Domain-Specific Health-Related Quality of Life Using Acute Infarct Volume.

Authors:  Chen Lin; Jungwha Lee; Neil Chatterjee; Carlos Corado; Timothy Carroll; Andrew Naidech; Shyam Prabhakaran
Journal:  Stroke       Date:  2017-05-23       Impact factor: 7.914

Review 3.  Nucleic Acid Therapies for Ischemic Stroke.

Authors:  Nils Henninger; Yunis Mayasi
Journal:  Neurotherapeutics       Date:  2019-04       Impact factor: 7.620

4.  Wake-up stroke: thrombolysis reduces ischemic lesion volume and neurological deficit.

Authors:  Giovanni Furlanis; Miloš Ajčević; Alex Buoite Stella; Tommaso Cillotto; Paola Caruso; Mariana Ridolfi; Maria Assunta Cova; Marcello Naccarato; Paolo Manganotti
Journal:  J Neurol       Date:  2019-11-12       Impact factor: 4.849

5.  Individual prediction of chronic motor outcome in the acute post-stroke stage: Behavioral parameters versus functional imaging.

Authors:  Anne K Rehme; Lukas J Volz; Delia-Lisa Feis; Simon B Eickhoff; Gereon R Fink; Christian Grefkes
Journal:  Hum Brain Mapp       Date:  2015-08-19       Impact factor: 5.038

Review 6.  Use of magnetic resonance imaging to predict outcome after stroke: a review of experimental and clinical evidence.

Authors:  Tracy D Farr; Susanne Wegener
Journal:  J Cereb Blood Flow Metab       Date:  2010-01-20       Impact factor: 6.200

7.  Automated core-penumbra quantification in neonatal ischemic brain injury.

Authors:  Nirmalya Ghosh; Xiangpeng Yuan; Christine I Turenius; Beatriz Tone; Kamalakar Ambadipudi; Evan Y Snyder; Andre Obenaus; Stephen Ashwal
Journal:  J Cereb Blood Flow Metab       Date:  2012-08-29       Impact factor: 6.200

8.  A multimodal approach to understanding motor impairment and disability after stroke.

Authors:  Erin Burke; Lucy Dodakian; Jill See; Alison McKenzie; Jeff D Riley; Vu Le; Steven C Cramer
Journal:  J Neurol       Date:  2014-04-12       Impact factor: 4.849

9.  Automated detection of brain abnormalities in neonatal hypoxia ischemic injury from MR images.

Authors:  Nirmalya Ghosh; Yu Sun; Bir Bhanu; Stephen Ashwal; Andre Obenaus
Journal:  Med Image Anal       Date:  2014-05-16       Impact factor: 8.545

Review 10.  Imaging for prediction of functional outcome and assessment of recovery in ischemic stroke.

Authors:  Wolf-Dieter Heiss; Chelsea S Kidwell
Journal:  Stroke       Date:  2014-03-04       Impact factor: 7.914

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