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Articles Published Processes
2/25/2022 2:49:01 PM | Browse: 435 | Download: 754
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Received |
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2021-08-07 23:37 |
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Peer-Review Started |
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2021-08-07 23:40 |
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To Make the First Decision |
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Return for Revision |
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2021-11-11 09:14 |
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Revised |
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2021-11-11 14:40 |
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Second Decision |
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2022-02-17 05:50 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2022-02-20 13:29 |
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Articles in Press |
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2022-02-20 13:29 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2022-02-22 08:14 |
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Publish the Manuscript Online |
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2022-02-25 14:49 |
ISSN |
1949-8470 (online) |
Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/ |
Copyright |
© The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. |
Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
Website |
http://www.wjgnet.com |
Category |
Respiratory System |
Manuscript Type |
Letter to the Editor |
Article Title |
Diagnostic accuracy of thoracic imaging modalities for the detection of COVID-19
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Manuscript Source |
Unsolicited Manuscript |
All Author List |
Haben Dawit, Marissa Absi, Nayaar Islam, Sanam Ebrahimzadeh and Matthew D F McInnes |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Matthew D F McInnes, MD, PhD, Professor, Department of Radiology, The Ottawa Hospital Research Institute Clinical Epidemiology Program, 451 Smyth Road, Ottawa K1H8L6, ON, Canada. mmcinnes@toh.ca |
Key Words |
COVID-19; Chest x-ray; Computed tomography; Lung ultrasound; Specificity and sensitivity; Diagnostic accuracy |
Core Tip |
The global coronavirus disease 2019 (COVID-19) outbreak has greatly impacted the world, with almost 200 million cases worldwide and more than 4 million deaths (as of July 21, 2021). Reverse transcriptase polymerase chain reaction is the current gold-standard for diagnosing COVID-19, but due to a diagnostic error rate greater than 10%, alternate modes of diagnosis are needed. Our review demonstrates that chest X-ray, chest computed tomography and lung ultrasound may have the potential to aid healthcare workers in the diagnosis of COVID-19. |
Publish Date |
2022-02-25 14:49 |
Citation |
Dawit H, Absi M, Islam N, Ebrahimzadeh S, McInnes MDF. Diagnostic accuracy of thoracic imaging modalities for the detection of COVID-19. World J Radiol 2022; 14(2): 47-49 |
URL |
https://www.wjgnet.com/1949-8470/full/v14/i2/47.htm |
DOI |
https://dx.doi.org/10.4329/wjr.v14.i2.47 |
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