Publication Name	World Journal of Clinical Oncology
Manuscript ID	62809
Country	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 Executive 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/
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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
CrossCheck Report	62809-CrossCheck report.pdf