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Diagnostic accuracy of MRA and MRI for the bursal-sided partial-thickness rotator cuff tears: a meta-analysis

BACKGROUND: Numerous quantitatively studies have focused on the diagnosis of bursal-sided partial-thickness rotator cuff tears (RCTs); however, the accuracy of magnetic resonance imaging (MRI) and MR arthrography (MRA) remains inconclusive. This study was performed systematically to compare the diag...

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Autores principales: Huang, Tao, Liu, Jian, Ma, Yupeng, Zhou, Dongsheng, Chen, Liang, Liu, Fanxiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6909503/
https://www.ncbi.nlm.nih.gov/pubmed/31831029
http://dx.doi.org/10.1186/s13018-019-1460-y
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author Huang, Tao
Liu, Jian
Ma, Yupeng
Zhou, Dongsheng
Chen, Liang
Liu, Fanxiao
author_facet Huang, Tao
Liu, Jian
Ma, Yupeng
Zhou, Dongsheng
Chen, Liang
Liu, Fanxiao
author_sort Huang, Tao
collection PubMed
description BACKGROUND: Numerous quantitatively studies have focused on the diagnosis of bursal-sided partial-thickness rotator cuff tears (RCTs); however, the accuracy of magnetic resonance imaging (MRI) and MR arthrography (MRA) remains inconclusive. This study was performed systematically to compare the diagnostic value of MRA and MRI for the bursal-sided partial-thickness RCTs. METHODS: Three electronic databases, PubMed, Embase, and Cochrane Library, were utilized to retrieve articles comparing the diagnostic value of MRA and MRI for detecting bursal-sided partial-thickness RCTs. After screening and diluting out the articles that met the inclusion criteria to be used for statistical analysis, the pooled evaluation indexes include sensitivity, specificity, positive and negative predictive values, diagnostic odds ratio (DOR), and the area under the receiver operating characteristic curve (AUC). RESULTS: Twelve studies involving 1740 patients and 1741 shoulders were identified. The pooled sensitivity, specificity, DOR, and AUC of MRA to diagnose bursal-sided partial-thickness RCTs were 0.77 (95% CI, 0.67–0.85), 0.98 (95% CI, 0.95–0.99), 73.01 (95% CI, 35.01–152.26), and 0.88 (95% CI, 0.85–0.91), respectively. The pooled sensitivity, specificity, DOR, and AUC of MRI were 0.77 (95% CI, 0.66–0.86) and 0.96 (95% CI, 0.81–0.99), and 37.12 (95% CI, 8.08–170.64) and 0.82 (95% CI, 0.78–0.85), respectively. CONCLUSIONS: This meta-analysis reveals that MRA and MRI have similar diagnostic value for the diagnosis of bursal-sided partial-thickness rotator cuff tears.
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spelling pubmed-69095032019-12-19 Diagnostic accuracy of MRA and MRI for the bursal-sided partial-thickness rotator cuff tears: a meta-analysis Huang, Tao Liu, Jian Ma, Yupeng Zhou, Dongsheng Chen, Liang Liu, Fanxiao J Orthop Surg Res Research Article BACKGROUND: Numerous quantitatively studies have focused on the diagnosis of bursal-sided partial-thickness rotator cuff tears (RCTs); however, the accuracy of magnetic resonance imaging (MRI) and MR arthrography (MRA) remains inconclusive. This study was performed systematically to compare the diagnostic value of MRA and MRI for the bursal-sided partial-thickness RCTs. METHODS: Three electronic databases, PubMed, Embase, and Cochrane Library, were utilized to retrieve articles comparing the diagnostic value of MRA and MRI for detecting bursal-sided partial-thickness RCTs. After screening and diluting out the articles that met the inclusion criteria to be used for statistical analysis, the pooled evaluation indexes include sensitivity, specificity, positive and negative predictive values, diagnostic odds ratio (DOR), and the area under the receiver operating characteristic curve (AUC). RESULTS: Twelve studies involving 1740 patients and 1741 shoulders were identified. The pooled sensitivity, specificity, DOR, and AUC of MRA to diagnose bursal-sided partial-thickness RCTs were 0.77 (95% CI, 0.67–0.85), 0.98 (95% CI, 0.95–0.99), 73.01 (95% CI, 35.01–152.26), and 0.88 (95% CI, 0.85–0.91), respectively. The pooled sensitivity, specificity, DOR, and AUC of MRI were 0.77 (95% CI, 0.66–0.86) and 0.96 (95% CI, 0.81–0.99), and 37.12 (95% CI, 8.08–170.64) and 0.82 (95% CI, 0.78–0.85), respectively. CONCLUSIONS: This meta-analysis reveals that MRA and MRI have similar diagnostic value for the diagnosis of bursal-sided partial-thickness rotator cuff tears. BioMed Central 2019-12-12 /pmc/articles/PMC6909503/ /pubmed/31831029 http://dx.doi.org/10.1186/s13018-019-1460-y Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Huang, Tao
Liu, Jian
Ma, Yupeng
Zhou, Dongsheng
Chen, Liang
Liu, Fanxiao
Diagnostic accuracy of MRA and MRI for the bursal-sided partial-thickness rotator cuff tears: a meta-analysis
title Diagnostic accuracy of MRA and MRI for the bursal-sided partial-thickness rotator cuff tears: a meta-analysis
title_full Diagnostic accuracy of MRA and MRI for the bursal-sided partial-thickness rotator cuff tears: a meta-analysis
title_fullStr Diagnostic accuracy of MRA and MRI for the bursal-sided partial-thickness rotator cuff tears: a meta-analysis
title_full_unstemmed Diagnostic accuracy of MRA and MRI for the bursal-sided partial-thickness rotator cuff tears: a meta-analysis
title_short Diagnostic accuracy of MRA and MRI for the bursal-sided partial-thickness rotator cuff tears: a meta-analysis
title_sort diagnostic accuracy of mra and mri for the bursal-sided partial-thickness rotator cuff tears: a meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6909503/
https://www.ncbi.nlm.nih.gov/pubmed/31831029
http://dx.doi.org/10.1186/s13018-019-1460-y
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