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6/21/2021 6:43:24 AM | Browse: 235 | Download: 417
Publication Name World Journal of Clinical Oncology
Manuscript ID 62809
Country/Territory India
Received
2021-01-19 02:43
Peer-Review Started
2021-01-19 02:46
To Make the First Decision
Return for Revision
2021-04-06 03:40
Revised
2021-04-07 11:45
Second Decision
2021-06-02 10:50
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2021-06-02 12:55
Articles in Press
2021-06-02 12:55
Publication Fee Transferred
Edit the Manuscript by Language Editor
2021-06-08 01:12
Typeset the Manuscript
2021-06-16 22:26
Publish the Manuscript Online
2021-06-21 06:41
ISSN 2218-4333 (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.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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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 Oncology
Manuscript Type Minireviews
Article Title Imaging diagnosis of bronchogenic carcinoma (the forgotten disease) during times of COVID-19 pandemic: Current and future perspectives
Manuscript Source Invited Manuscript
All Author List Ravikanth Reddy
Funding Agency and Grant Number
Corresponding Author Ravikanth Reddy, MD, Academic Research, Department of Radiology, St. John’s Hospital, Koramangala, Bengaluru 560034, Karnataka, India. ravikanthreddy06@gmail.com
Key Words COVID-19; Bronchogenic carcinoma; Immune checkpoint inhibitor-related pneumonitis; Prioritizing imaging; Surveillance of lung nodules; Artificial intelligence
Core Tip Unprecedented times of a pandemic pose a major challenge in maintaining adequate balance between the risk of contracting deadly coronavirus disease 2019 (COVID-19) against the dire consequences of delaying treatment for a life-threatening malignancy. Cancer survivors and patients represent a vulnerable population for COVID-19 related pulmonary syndrome, which can further complicate respiratory and cardiovascular comorbidities they possess. Risk stratification of bronchogenic carcinoma patients and priority imaging may be applied for optimal use of resources during these uncertain times of COVID-19. Utilizing artificial intelligence and deep learning modules based on pattern recognition of image findings during this pandemic has made a lasting impact across future realms.
Publish Date 2021-06-21 06:41
Citation Reddy R. Imaging diagnosis of bronchogenic carcinoma (the forgotten disease) during times of COVID-19 pandemic: Current and future perspectives. World J Clin Oncol 2021; 12(6): 437-457
URL https://www.wjgnet.com/2218-4333/full/v12/i6/437.htm
DOI https://dx.doi.org/10.5306/wjco.v12.i6.437
Full Article (PDF) WJCO-12-437.pdf
Full Article (Word) WJCO-12-437.docx
Manuscript File 62809-Review-FilipodiaCL .docx
Answering Reviewers 62809-Answering reviewers.pdf
Audio Core Tip 62809-Audio core tip.mp3
Conflict-of-Interest Disclosure Form 62809-Conflict-of-interest statement.pdf
Copyright License Agreement 62809-Copyright license agreement.pdf
Peer-review Report 62809-Peer-review(s).pdf
Scientific Misconduct Check 62809-Bing-Wang JL-1.jpg
Scientific Misconduct Check 62809-Scientific misconduct check.pdf
Scientific Editor Work List 62809-Scientific editor work list.pdf