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Published in: Journal of Neurology 4/2014

Open Access 01-04-2014 | Review

Diagnosing flow residuals in coiled cerebral aneurysms by MR angiography: meta-analysis

Authors: Jan Menke, Peter Schramm, Jan Martin Sohns, Kai Kallenberg, Wieland Staab

Published in: Journal of Neurology | Issue 4/2014

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Abstract

This meta-analysis summarizes the accuracy of magnetic resonance angiography (MRA) for diagnosing residuals in coiled cerebral aneurysms by using the threefold Roy classification (residuals: none, neck, or sac). Four databases were searched from 2000 to June 2013 for eligible studies that compared MRA to digital subtraction angiography (DSA) and reported 3 × 3 count data of threefold Roy classification, or a reduced scheme of 2 × 2 count data. Bivariate and trivariate Bayesian random-effects models were used for meta-analysis. Among 27 included studies (2,119 coiled aneurysms in 1,809 patients) the average prevalence of DSA-confirmed sac residuals was 18.2 % (range 0–43 %). The pooled sensitivity was 88.0 % (95 % CI 81.4−94.0) and specificity was 97.2 % (94.6−99.0 %) for assessing sac residuals by MRA. In the trivariate meta-analysis, a “sac residual” finding at MRA had a high positive likelihood ratio of 28.2 (14.0–79.0). A “neck residual” finding had a moderate negative likelihood ratio of 0.246 (0.111–0.426), and the MRA finding of “no residual” had a good negative likelihood ratio of 0.044 (0.013–0.096). Subgroup analyses identified no significant influence of covariates on diagnostic accuracy (P > 0.05). In conclusion, in coiled cerebral aneurysms MRA with application of the threefold Roy classification is well suited for detecting or excluding sac residuals that might require retreatment.
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Metadata
Title
Diagnosing flow residuals in coiled cerebral aneurysms by MR angiography: meta-analysis
Authors
Jan Menke
Peter Schramm
Jan Martin Sohns
Kai Kallenberg
Wieland Staab
Publication date
01-04-2014
Publisher
Springer Berlin Heidelberg
Published in
Journal of Neurology / Issue 4/2014
Print ISSN: 0340-5354
Electronic ISSN: 1432-1459
DOI
https://doi.org/10.1007/s00415-013-7053-5

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