MR diffusion weighted imaging detecting cerebral infarction: A Meta-analysis

Jun Le Yang, You Min Guo, Min Xu, Min Liu, Peng Wang, Qiu Juan Zhang

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: To determine the diagnostic value of diffusion-weighted imaging(DWI) in hyperacute and acute cerebral infarction by using Meta-analysis. Methods: Based on validity criteria for diagnostic research published by the Cochrane Methods Group on Screening and Diagnostic, studies in English and Chinese from 1997 to 2007 were selected from Medline, Cochrane, Springer, Ovid, Elsevier, LWW and CNKI(China National Knowledge Infrastructure). The characteristics of the included articles were appraised and extracted. Statistical analysis was performed with the software Meta-test 0.6 and Comprehensive meta-analysis 2.0. Heterogeneity of the included articles was tested, which was used to select proper effect model to calculate pooled weighted values of sensitivity and specificity and the corresponding 95% CI. Summary receiver operating characteristic (SROC) curve was performed and the area under the curve (Az) was calculated. Publication bias was analyzed by Funnel Plot in Comprehensive Meta-analysis 2.0. A sensitivity analysis was performed. Results: Twelve articles meeting inclusion criteria were analyzed for the value of DWI in hyperacute cerebral infarction. The pooled sensitivity, specificity and diagnostic odds ratio was 92%,87%,180.37 respectively, Az = 0.9717. Novice is a main factor for total diagnostic effect (Q = 4.34, P > 0.05). Non-asymmetric funnel plot suggested the publication bias. Fifteen articles meeting inclusion criteria were analyzed for the value of DWI in both hyperacute and acute cerebral infarction (≤ 24 h). The pooled sensitivity, specificity diagnostic odds ratio was 92%, 91%, 623.62 respectively, Az = 0.9659. Fixed effects model used in Meta-analysis for database sugested homogeneity (Q = 2.70, P > 0.05). Nonasymmetric funnel plot suggested the publication bias. Conclusions: As a noninvasive method, diffusion-weighted imaging is valuable in detecting hyperacute and acute cerebral infarction. More support from multi-center prospective researches is desirable.

Original languageEnglish
Pages (from-to)609-613
Number of pages5
JournalZhonghua fang she xue za zhi Chinese journal of radiology
Volume42
Issue number6
StatePublished - Jun 2008
Externally publishedYes

Keywords

  • Cerebral infarction
  • Diffusion magnetic resonance image
  • Meta-analysis
  • ROC curve

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