Copyright ©The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Oncol. Jun 24, 2021; 12(6): 437-457
Published online Jun 24, 2021. doi: 10.5306/wjco.v12.i6.437
Imaging diagnosis of bronchogenic carcinoma (the forgotten disease) during times of COVID-19 pandemic: Current and future perspectives
Ravikanth Reddy
Ravikanth Reddy, Department of Radiology, St. John's Hospital, Bengaluru 560034, Karnataka, India
Author contributions: Reddy R wrote the first draft of the manuscript, reviewed and edited the manuscript and approved the final version of the manuscript.
Conflict-of-interest statement: There are no conflicts of interest.
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:
Corresponding author: Ravikanth Reddy, MD, Academic Research, Department of Radiology, St. John's Hospital, Koramangala, Bengaluru 560034, Karnataka, India.
Received: January 19, 2021
Peer-review started: January 19, 2021
First decision: April 6, 2021
Revised: April 7, 2021
Accepted: June 2, 2021
Article in press: June 2, 2021
Published online: June 24, 2021
Core Tip

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.