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Meta-analysis of computed tomography angiography versus magnetic resonance angiography for intracranial aneurysm

BACKGROUND: Whether the diagnosis value of computed tomography angiography (CTA) for intracranial aneurysm is in accordance with magnetic resonance angiography (MRA) remains inconclusive. This meta-analysis aims to synthesize relevant studies to compare the diagnostic efficacies of the 2 methods. ME...

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Autores principales: Chen, Xiaodan, Liu, Yun, Tong, Huazhang, Dong, Yonghai, Ma, Dongyang, Xu, Lei, Yang, Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5976319/
https://www.ncbi.nlm.nih.gov/pubmed/29768368
http://dx.doi.org/10.1097/MD.0000000000010771
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author Chen, Xiaodan
Liu, Yun
Tong, Huazhang
Dong, Yonghai
Ma, Dongyang
Xu, Lei
Yang, Cheng
author_facet Chen, Xiaodan
Liu, Yun
Tong, Huazhang
Dong, Yonghai
Ma, Dongyang
Xu, Lei
Yang, Cheng
author_sort Chen, Xiaodan
collection PubMed
description BACKGROUND: Whether the diagnosis value of computed tomography angiography (CTA) for intracranial aneurysm is in accordance with magnetic resonance angiography (MRA) remains inconclusive. This meta-analysis aims to synthesize relevant studies to compare the diagnostic efficacies of the 2 methods. METHODS: Potentially relevant studies were selected through PubMed, Embase, Wanfang, Chongqing VIP, and China National Knowledge Infrastructure databases by using the core terms “computer tomography angiography” (CTA) and “magnetic resonance angiography” (MRA) and “intracranial aneurysm∗” in the titles, abstracts, and keywords of the articles. Quality Assessment for Diagnostic Accuracy Studies (QUADAS-2) was utilized to evaluate the quality. Pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR) were count. Summary receiver operating characteristic curves (SROC) and area under the curve (AUC) were used to summarize the overall diagnostic performance. Statistical analyses were performed by Stata version 12.0 and MetaDisc 1.4 software. RESULTS: Ten articles were identified in this current paper. For CTA, the pooled estimates of diagnostic parameters for intracranial aneurysm were as follows: sensitivity, 0.84 (95%CI = 0.81–0.86); specificity, 0.85 (95%CI = 0.79–0.89); PLR, 4.09 (95%CI = 2.45–6.81); NLR, 0.18 (95%CI = 0.11–0.28); DOR, 23.74 (95%CI = 10.49–53.74); AUC, 0.90, respectively. For MRA, the pooled estimates of diagnostic parameters for intracranial aneurysm were as follows: sensitivity, 0.80 (95%CI = 0.77–0.83); specificity, 0.87 (95%CI = 0.82–0.91); PLR, 3.61 (95%CI = 1.72–7.55); NLR; 0.27 (95%CI = 0.21–0.35); DOR, 16.77 (95%CI = 7.38–38.11); AUC, 0.87, respectively. No significant difference was found the AUC value between CTA and MRA for intracranial aneurysm (Z = 0.828, P > .05). CONCLUSION: This comprehensive meta-analysis demonstrated that the diagnosis value of CTA was in accordance with MRA for intracranial aneurysm. However, considering the limitation of sample size, the results should be treated with caution.
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spelling pubmed-59763192018-06-05 Meta-analysis of computed tomography angiography versus magnetic resonance angiography for intracranial aneurysm Chen, Xiaodan Liu, Yun Tong, Huazhang Dong, Yonghai Ma, Dongyang Xu, Lei Yang, Cheng Medicine (Baltimore) Research Article BACKGROUND: Whether the diagnosis value of computed tomography angiography (CTA) for intracranial aneurysm is in accordance with magnetic resonance angiography (MRA) remains inconclusive. This meta-analysis aims to synthesize relevant studies to compare the diagnostic efficacies of the 2 methods. METHODS: Potentially relevant studies were selected through PubMed, Embase, Wanfang, Chongqing VIP, and China National Knowledge Infrastructure databases by using the core terms “computer tomography angiography” (CTA) and “magnetic resonance angiography” (MRA) and “intracranial aneurysm∗” in the titles, abstracts, and keywords of the articles. Quality Assessment for Diagnostic Accuracy Studies (QUADAS-2) was utilized to evaluate the quality. Pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR) were count. Summary receiver operating characteristic curves (SROC) and area under the curve (AUC) were used to summarize the overall diagnostic performance. Statistical analyses were performed by Stata version 12.0 and MetaDisc 1.4 software. RESULTS: Ten articles were identified in this current paper. For CTA, the pooled estimates of diagnostic parameters for intracranial aneurysm were as follows: sensitivity, 0.84 (95%CI = 0.81–0.86); specificity, 0.85 (95%CI = 0.79–0.89); PLR, 4.09 (95%CI = 2.45–6.81); NLR, 0.18 (95%CI = 0.11–0.28); DOR, 23.74 (95%CI = 10.49–53.74); AUC, 0.90, respectively. For MRA, the pooled estimates of diagnostic parameters for intracranial aneurysm were as follows: sensitivity, 0.80 (95%CI = 0.77–0.83); specificity, 0.87 (95%CI = 0.82–0.91); PLR, 3.61 (95%CI = 1.72–7.55); NLR; 0.27 (95%CI = 0.21–0.35); DOR, 16.77 (95%CI = 7.38–38.11); AUC, 0.87, respectively. No significant difference was found the AUC value between CTA and MRA for intracranial aneurysm (Z = 0.828, P > .05). CONCLUSION: This comprehensive meta-analysis demonstrated that the diagnosis value of CTA was in accordance with MRA for intracranial aneurysm. However, considering the limitation of sample size, the results should be treated with caution. Wolters Kluwer Health 2018-05-18 /pmc/articles/PMC5976319/ /pubmed/29768368 http://dx.doi.org/10.1097/MD.0000000000010771 Text en Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nd/4.0 This is an open access article distributed under the Creative Commons Attribution-NoDerivatives License 4.0, which allows for redistribution, commercial and non-commercial, as long as it is passed along unchanged and in whole, with credit to the author. http://creativecommons.org/licenses/by-nd/4.0
spellingShingle Research Article
Chen, Xiaodan
Liu, Yun
Tong, Huazhang
Dong, Yonghai
Ma, Dongyang
Xu, Lei
Yang, Cheng
Meta-analysis of computed tomography angiography versus magnetic resonance angiography for intracranial aneurysm
title Meta-analysis of computed tomography angiography versus magnetic resonance angiography for intracranial aneurysm
title_full Meta-analysis of computed tomography angiography versus magnetic resonance angiography for intracranial aneurysm
title_fullStr Meta-analysis of computed tomography angiography versus magnetic resonance angiography for intracranial aneurysm
title_full_unstemmed Meta-analysis of computed tomography angiography versus magnetic resonance angiography for intracranial aneurysm
title_short Meta-analysis of computed tomography angiography versus magnetic resonance angiography for intracranial aneurysm
title_sort meta-analysis of computed tomography angiography versus magnetic resonance angiography for intracranial aneurysm
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5976319/
https://www.ncbi.nlm.nih.gov/pubmed/29768368
http://dx.doi.org/10.1097/MD.0000000000010771
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