Literature DB >> 26723988

Diagnostic accuracy of computed tomography perfusion in patients with acute stroke: A meta-analysis.

Ye Xin1, Fu-Gang Han2.   

Abstract

PURPOSE: The purpose of this meta-analysis was to evaluate the sensitivity and specificity of computed tomography perfusion (CTP) in diagnosing acute ischemic stroke in patients presenting to the emergency department with stroke-like symptoms.
METHODS: Medline, Cochrane, EMBASE, and Google Scholar databases were searched until November 5, 2014 using the following terms: magnetic resonance imaging/MRI, computed tomography/CT, and stroke. Randomized controlled trials, retrospective, and case-controlled studies were included which evaluated patients who presented for emergency assessment of stroke-like systems. Diffusion weighted imaging (DWI) was used as reference standard. Only studies published in English or Chinese were included. Quality assessment and sensitivity analysis were performed to evaluate that strength of the data.
RESULTS: The analysis included six studies with a total of 1429 patients. The pooled overall sensitivity for CTP indicated it had reasonable sensitivity (55.7%) and high specificity (92%). Subgroup analysis indicated that of the different CTP modes, MTT and CBF had higher sensitivities (48.6% and 47.3%, respectively) than CBV (26.3%). CBF and CBV had higher specificity (91.0% and 95.4%, respectively) compared with MTT (86.6%).
CONCLUSION: All three CTP modes had adequate sensitivity but very high specificity, and among the three CTP modes, CBF had the best diagnostic characteristics.
Copyright © 2015 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Brain lesion; Computed tomography; Magnetic resonance imaging; Meta analysis; Stroke

Mesh:

Year:  2015        PMID: 26723988     DOI: 10.1016/j.jns.2015.11.046

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  4 in total

1.  Defining Ischemic Core in Acute Ischemic Stroke Using CT Perfusion: A Multiparametric Bayesian-Based Model.

Authors:  K Nael; E Tadayon; D Wheelwright; A Metry; J T Fifi; S Tuhrim; R A De Leacy; A H Doshi; H L Chang; J Mocco
Journal:  AJNR Am J Neuroradiol       Date:  2019-08-14       Impact factor: 3.825

2.  Comparison of multimodal CT scan protocols used for decision-making on mechanical thrombectomy in acute ischemic stroke.

Authors:  Rujimas Khumtong; Timo Krings; Vitor M Pereira; Aleksandra Pikula; Joanna D Schaafsma
Journal:  Neuroradiology       Date:  2020-01-04       Impact factor: 2.804

3.  Blood-Brain Barrier Disruption and Hemorrhagic Transformation in Acute Ischemic Stroke: Systematic Review and Meta-Analysis.

Authors:  Francesco Arba; Chiara Rinaldi; Danilo Caimano; Federica Vit; Giorgio Busto; Enrico Fainardi
Journal:  Front Neurol       Date:  2021-01-21       Impact factor: 4.003

4.  Diffusion-weighted magnetic resonance imaging reflects activation of signal transducer and activator of transcription 3 during focal cerebral ischemia/reperfusion.

Authors:  Wen-Juan Wu; Chun-Juan Jiang; Zhui-Yang Zhang; Kai Xu; Wei Li
Journal:  Neural Regen Res       Date:  2017-07       Impact factor: 5.135

  4 in total

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