Literature DB >> 23921570

Prediction of poor outcome in cerebellar infarction by diffusion MRI.

Zahari Tchopev1, Marc Hiller, Jiachen Zhuo, Joshua Betz, Rao Gullapalli, Kevin N Sheth.   

Abstract

OBJECTIVE: Identification of patients with posterior fossa infarction at risk for neurological deterioration remains a challenge. MRI-based assessments of MCA infarction can predict poor outcome. Similar quantitative imaging measures after cerebellar stroke have not been studied. We tested the hypothesis that MRI-based volumetric assessment of cerebellar infarcts can provide reliable information for the prediction of poor outcome.
DESIGN: We retrospectively identified 44 consecutive subjects (age 55.2 ± 13) with cerebellar stroke who underwent MRI with diffusion-weighted imaging (DWI) (median 63.7 h). Subjects were divided into poor (n = 13) and good outcomes (n = 31). Poor outcome was defined as having at least one of the following criteria: (1) mortality, (2) decompressive craniectomy, (3) ventriculostomy, and (4) decrease level of consciousness. DWI and cerebellar volume were defined on apparent diffusion coefficient maps. The ratio of the lesion volume to the whole cerebellum volume was calculated (rVolume).
MEASUREMENTS AND MAIN RESULTS: Logistic regression revealed that lesion volume and rVolume were associated with increased risk of poor outcome, even after adjusting for age and NIHSS (χ(2) = 8.2230, p < 0.0042; χ(2) = 8.3992, p < 0.0038, respectively). The receiver operating characteristic curve with age, NIHSS, and volume or rVolume achieved an AUC of 0.816 (95 % CI 0.678-0.955) and 0.831 (95 % CI 0.6989-0.9636), respectively.
CONCLUSIONS: Quantitative volumetric measurement predicts poor outcome of cerebellar stroke patients, even when controlling for age and NIHSS. Quantitative analysis of diffusion MRI may assist in identification of patients with cerebellar stroke at highest risk of neurological deterioration. Prospective validation is warranted.

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Year:  2013        PMID: 23921570     DOI: 10.1007/s12028-013-9886-2

Source DB:  PubMed          Journal:  Neurocrit Care        ISSN: 1541-6933            Impact factor:   3.210


  34 in total

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Authors:  David Y Hwang; Gisele S Silva; Karen L Furie; David M Greer
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2.  Ataxia in posterior circulation stroke: clinical-MRI correlations.

Authors:  Cristina Deluca; Giuseppe Moretto; Alessandro Di Matteo; Manuel Cappellari; Annamaria Basile; Domenico M Bonifati; Tiziana Mesiano; Claudio Baracchini; Giorgio Meneghetti; Sara Mazzucco; Marzia Ottina; Piergiorgio Lochner; Agnese Tonon; Maria A Bonometti; Antonella De Boni; Emanuele Turinese; Nicoletta Freddi; Alessandro Adami; Francesca Pizzini; Giovanni Defazio; Giampaolo Tomelleri; Paolo Bovi; Antonio Fiaschi; Michele Tinazzi
Journal:  J Neurol Sci       Date:  2010-10-28       Impact factor: 3.181

3.  RAPID automated patient selection for reperfusion therapy: a pooled analysis of the Echoplanar Imaging Thrombolytic Evaluation Trial (EPITHET) and the Diffusion and Perfusion Imaging Evaluation for Understanding Stroke Evolution (DEFUSE) Study.

Authors:  Maarten G Lansberg; Jun Lee; Soren Christensen; Matus Straka; Deidre A De Silva; Michael Mlynash; Bruce C Campbell; Roland Bammer; Jean-Marc Olivot; Patricia Desmond; Stephen M Davis; Geoffrey A Donnan; Gregory W Albers
Journal:  Stroke       Date:  2011-04-14       Impact factor: 7.914

4.  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.

Authors:  Albert J Yoo; Elizabeth R Barak; William A Copen; Shahmir Kamalian; Leila Rezai Gharai; Muhammad A Pervez; Lee H Schwamm; R Gilberto González; Pamela W Schaefer
Journal:  Stroke       Date:  2010-07-01       Impact factor: 7.914

5.  Surgical decompression for cerebral and cerebellar infarcts.

Authors:  H S Ivamoto; M Numoto; R M Donaghy
Journal:  Stroke       Date:  1974 May-Jun       Impact factor: 7.914

6.  Surgical and medical management of patients with massive cerebellar infarctions: results of the German-Austrian Cerebellar Infarction Study.

Authors:  M Jauss; D Krieger; C Hornig; J Schramm; O Busse
Journal:  J Neurol       Date:  1999-04       Impact factor: 4.849

7.  Diffusion-weighted imaging and National Institutes of Health Stroke Scale in the acute phase of posterior-circulation stroke.

Authors:  I Linfante; R H Llinas; G Schlaug; C Chaves; S Warach; L R Caplan
Journal:  Arch Neurol       Date:  2001-04

Review 8.  Management of acute cerebellar stroke.

Authors:  Matt B Jensen; Erik K St Louis
Journal:  Arch Neurol       Date:  2005-04

9.  Cerebellar infarction. Clinical and neuroimaging analysis in 293 patients. The Tohoku Cerebellar Infarction Study Group.

Authors:  H Tohgi; S Takahashi; K Chiba; Y Hirata
Journal:  Stroke       Date:  1993-11       Impact factor: 7.914

10.  Long-term outcome after surgical treatment for space-occupying cerebellar infarction: experience in 56 patients.

Authors:  Eric Jüttler; Sonja Schweickert; Peter A Ringleb; Hagen B Huttner; Martin Köhrmann; Alfred Aschoff
Journal:  Stroke       Date:  2009-07-02       Impact factor: 7.914

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  2 in total

Review 1.  Critical care for patients with massive ischemic stroke.

Authors:  Sang-Beom Jeon; Younsuck Koh; H Alex Choi; Kiwon Lee
Journal:  J Stroke       Date:  2014-09-30       Impact factor: 6.967

2.  Evaluation of clinical significance of decompressive suboccipital craniectomy on the prognosis of cerebellar infarction.

Authors:  Yoshio Suyama; Shinichi Wakabayashi; Hiroshi Aihara; Yusuke Ebiko; Hiroshi Kajikawa; Ichiro Nakahara
Journal:  Fujita Med J       Date:  2018-12-06
  2 in total

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