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The diagnostic performance of magnetic resonance imaging for differentiating the nature of cardiac masses: A systematic review protocol

BACKGROUND: Cardiac masses are rare, but lead to high risk of stroke and death. Because of the different treatment methods, it is significant for clinicians to differentiate the nature of masses. Cardiac magnetic resonance (CMR) imaging has high intrinsic soft-tissue contrast and high spatial and te...

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Autores principales: Ni, Jin-Rong, Hu, Yuan, Shao, Li-Ping, Song, Bing, Li, Yuan-Min, Lei, Jun-Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6959924/
https://www.ncbi.nlm.nih.gov/pubmed/31914085
http://dx.doi.org/10.1097/MD.0000000000018717
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author Ni, Jin-Rong
Hu, Yuan
Shao, Li-Ping
Song, Bing
Li, Yuan-Min
Lei, Jun-Qiang
author_facet Ni, Jin-Rong
Hu, Yuan
Shao, Li-Ping
Song, Bing
Li, Yuan-Min
Lei, Jun-Qiang
author_sort Ni, Jin-Rong
collection PubMed
description BACKGROUND: Cardiac masses are rare, but lead to high risk of stroke and death. Because of the different treatment methods, it is significant for clinicians to differentiate the nature of masses. Cardiac magnetic resonance (CMR) imaging has high intrinsic soft-tissue contrast and high spatial and temporal resolution and can provide evidence for differential diagnosis of cardiac masses. However, there is no evidence-based conclusion as to its accuracy. Therefore, the purpose of our study is to perform a systematic review on this issue and provide useful information for clinical diagnosis and treatment. METHODS: We will perform a systematic search in EMBASE, Cochrane Library, PubMed and Web of Science for diagnostic studies using CMR to detect cardiac masses from inception to October, 2019. Two authors will independently screen titles and abstracts for relevance, review full texts for inclusion and conduct detail data extraction. The methodological quality will be assessed using the QUADAS-2 tool. If pooling is possible, we will use bivariate model for diagnostic meta-analysis to estimate summary sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio of CMR, as well as different sequences of CMR. Estimates of sensitivity and specificity from each study will be plotted in summary receive operating curve space and forest plots will be constructed for visual examination of variation in test accuracy. If enough studies are available, we will conduct sensitivity analysis and subgroup analysis. RESULTS: The results of this systematic review and meta-analysis will be published in a peer-reviewed journal. CONCLUSION: To our knowledge, this will be the first systematic review on the accuracy of CMR in the differential diagnosis of cardiac masses. This study will provide evidence and data to form a comprehensive understanding of the clinical value of CMR for cardiac masses patients. ETHICS AND DISSEMINATION: Ethics approval and patient consent are not required, as this study is a systematic review. PROSPERO REGISTRATION NUMBER: CRD42019137800.
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spelling pubmed-69599242020-01-31 The diagnostic performance of magnetic resonance imaging for differentiating the nature of cardiac masses: A systematic review protocol Ni, Jin-Rong Hu, Yuan Shao, Li-Ping Song, Bing Li, Yuan-Min Lei, Jun-Qiang Medicine (Baltimore) 4100 BACKGROUND: Cardiac masses are rare, but lead to high risk of stroke and death. Because of the different treatment methods, it is significant for clinicians to differentiate the nature of masses. Cardiac magnetic resonance (CMR) imaging has high intrinsic soft-tissue contrast and high spatial and temporal resolution and can provide evidence for differential diagnosis of cardiac masses. However, there is no evidence-based conclusion as to its accuracy. Therefore, the purpose of our study is to perform a systematic review on this issue and provide useful information for clinical diagnosis and treatment. METHODS: We will perform a systematic search in EMBASE, Cochrane Library, PubMed and Web of Science for diagnostic studies using CMR to detect cardiac masses from inception to October, 2019. Two authors will independently screen titles and abstracts for relevance, review full texts for inclusion and conduct detail data extraction. The methodological quality will be assessed using the QUADAS-2 tool. If pooling is possible, we will use bivariate model for diagnostic meta-analysis to estimate summary sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio of CMR, as well as different sequences of CMR. Estimates of sensitivity and specificity from each study will be plotted in summary receive operating curve space and forest plots will be constructed for visual examination of variation in test accuracy. If enough studies are available, we will conduct sensitivity analysis and subgroup analysis. RESULTS: The results of this systematic review and meta-analysis will be published in a peer-reviewed journal. CONCLUSION: To our knowledge, this will be the first systematic review on the accuracy of CMR in the differential diagnosis of cardiac masses. This study will provide evidence and data to form a comprehensive understanding of the clinical value of CMR for cardiac masses patients. ETHICS AND DISSEMINATION: Ethics approval and patient consent are not required, as this study is a systematic review. PROSPERO REGISTRATION NUMBER: CRD42019137800. Wolters Kluwer Health 2020-01-10 /pmc/articles/PMC6959924/ /pubmed/31914085 http://dx.doi.org/10.1097/MD.0000000000018717 Text en Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0
spellingShingle 4100
Ni, Jin-Rong
Hu, Yuan
Shao, Li-Ping
Song, Bing
Li, Yuan-Min
Lei, Jun-Qiang
The diagnostic performance of magnetic resonance imaging for differentiating the nature of cardiac masses: A systematic review protocol
title The diagnostic performance of magnetic resonance imaging for differentiating the nature of cardiac masses: A systematic review protocol
title_full The diagnostic performance of magnetic resonance imaging for differentiating the nature of cardiac masses: A systematic review protocol
title_fullStr The diagnostic performance of magnetic resonance imaging for differentiating the nature of cardiac masses: A systematic review protocol
title_full_unstemmed The diagnostic performance of magnetic resonance imaging for differentiating the nature of cardiac masses: A systematic review protocol
title_short The diagnostic performance of magnetic resonance imaging for differentiating the nature of cardiac masses: A systematic review protocol
title_sort diagnostic performance of magnetic resonance imaging for differentiating the nature of cardiac masses: a systematic review protocol
topic 4100
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6959924/
https://www.ncbi.nlm.nih.gov/pubmed/31914085
http://dx.doi.org/10.1097/MD.0000000000018717
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