##plugins.themes.academic_pro.article.main##
Abstract
Background Cerebral venous thrombosis (CVT) is a rare disease, and with poor prognosis. Computed tomography (CT) and magnetic resonance imaging (MRI) are the most commonly used image modalities for patients with non-specific neurologic symptoms. We present here a meta-analysis to assess the accuracy of CT and MRI in the differential diagnosis of CVT and cerebral venous sinus thrombosis (CVST). Materials and Methods A comprehensive search of the PubMed, EMBASE, Web of Science, Cochrane Database and Chinese Biomedical (CBM) databases was conducted. In this report, we assess the methodological quality of each article individually and perform a meta-analysis to obtain the summary of the diagnostic accuracy MRI in correctly identifying CVT and CVST. Results Twenty-four eligible articles comprising 48 studies (4,595 cases) were included. The pooled sensitivity for CT–CVT/CT–CVST groups is 0.79 (95% confidence interval,with an area under the curve (AUC) for the summary receiver operating characteristic (SROC) of 0.9314/0.9161
Keywords
##plugins.themes.academic_pro.article.details##
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
References
- Stam J. Thrombosis of the cerebral veins and sinuses. N Engl J Med.
- Klein IF, Lavallée PC, Schouman-Claeys E, et al. High-resolution MRI identifies basilar artery plaques in paramedian pontine infarct. Neurology 2005;64:551-2. [PubMed]
- Moody AR, Murphy RE, Morgan PS, et al. Characterization of complicated carotid plaque with magnetic resonance direct thrombus imaging in patients with cerebral ischemia. Circulation 2003;107:3047-52. [PubMed]
- Jansen CH, Perera D, Makowski MR, et al. Detection of intracoronary thrombus by magnetic resonance imaging in patients with acute myocardial infarction. Circulation 2011;124:416-24. [PubMed]
- Ehara S, Hasegawa T, Nakata S, et al. Hyperintense plaque identified by magnetic resonance imaging relates to intracoronary thrombus as detected by optical coherence tomography in patients with angina pectoris. Eur Heart J Cardiovasc Imaging 2012;13:394-9. [PubMed]
- Corti R, Osende JI, Fayad ZA, et al. In vivo noninvasive detection and age definition of arterial thrombus by MRI. J Am Coll Cardiol 2002;39:1366-73. [PubMed]
- Xu WH, Li ML, Gao S, et al. Middle cerebral artery intraplaque hemorrhage: prevalence and clinical relevance. Ann Neurol 2012;71:195-8. [PubMed]
- Turan TN, Bonilha L, Morgan PS, et al. Intraplaque hemorrhage in symptomatic intracranial atherosclerotic disease. J Neuroimaging 2011;21:e159-61. [PubMed]
- Wong KS, Gao S, Chan YL, et al. Mechanisms of acute cerebral infarctions in patients with middle cerebral artery stenosis: a diffusion-weighted imaging and microemboli monitoring study. Ann Neurol 2002;52:74-81. [PubMed]
- Kelly J, Hunt BJ, Moody A. Magnetic resonance direct thrombus imaging: a novel technique for imaging venous thromboemboli. Thromb Haemost 2003;89:773-82. [PubMed]
- Altaf N, MacSweeney ST, Gladman J, et al. Carotid intraplaque hemorrhage predicts recurrent symptoms in patients with high-grade carotid stenosis. Stroke 2007;38:1633-5. [PubMed] 1988;240(4857):1285–12Zamora J, Abraira V, Muriel A, Khan K, Coomarasamy A. Meta- DiSc: a software for meta-analysis of test accura cy data. BMC Med Res Methodol 2006;6:31 lication bias and other sample size effects in systematic reviews ofdiagnostic test accuracy was assessed. J Clin Epidemiol 2005;58 (09):2005;352(17):1791–1798