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Articles in Press
8/2/2021 7:04:24 AM | Browse: 72 | Download: 178
Category |
Radiology, Nuclear Medicine & Medical Imaging |
Manuscript Type |
Systematic Reviews |
Article Title |
Differential diagnosis of COVID-19 at the chest computed tomography scan: A review with special focus on cancer patients
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Manuscript Source |
Invited Manuscript |
All Author List |
Fabiana Perrone, Maurizio Balbi, Chiara Casartelli, Sebastiano Buti, Gianluca Milanese, Nicola Sverzellati and Melissa Bersanelli |
Funding Agency and Grant Number |
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Corresponding Author |
Melissa Bersanelli, MD, Adjunct Professor, Chief Doctor, Medical Oncology Unit, University Hospital of Parma, Via Gramsci 14, Parma 43126, Italy. bersamel@libero.it |
Key Words |
COVID 19; Computed tomography; Differential diagnosis; Cancer; Pneumonia; Radiological findings |
Core Tip |
In the coronavirus disease 19 (COVID-19)-era, the differential diagnosis of pneumonitis, yet challenging in patients with multiple comorbidities and polypharmacological therapy, has become even more challenging. The gold standard technique for diagnosing COVID-related pneumonia is not still established. Still, computed tomography scan is essential for the differential diagnosis of drug-induced pneumonitis, infectious pneumonia, and other conditions such as cancer progression. With this review, we have dealt with frequent radiological diatribes in the radiological diagnosis of COVID-19 pneumonitis, with a special focus on cancer patients, for whom clinical elements can be more confounding than helpful as a compendium to the correct diagnostic conclusion. |
Citation |
Perrone F, Balbi M, Casartelli C, Buti S, Milanese G, Sverzellati N, Bersanelli M. Differential diagnosis of COVID-19 at the chest computed tomography scan: A review with special focus on cancer patients. World J Radiol 2021; 13(8): 243-257 |
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Received |
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2021-01-28 18:43 |
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Peer-Review Started |
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2021-01-28 18:59 |
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To Make the First Decision |
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Return for Revision |
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2021-05-06 01:54 |
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Revised |
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2021-05-18 17:46 |
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Second Decision |
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2021-08-02 02:49 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Company Editor-in-Chief |
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2021-08-02 07:04 |
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Articles in Press |
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2021-08-02 07:04 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2021-08-14 22:49 |
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Typeset the Manuscript |
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2021-08-25 03:03 |
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: http://creativecommons.org/Licenses/by-nc/4.0/ |
Copyright |
© The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved. |
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 |
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