Abstract

Coronavirus disease 2019 (COVID-19) pandemic has posed a major public health crisis all over the world. The role of chest imaging, especially computed tomography (CT), has evolved during the pandemic paralleling the accumulation of scientific evidence. In the early stage of the pandemic, the performance of chest imaging for COVID-19 has widely been debated especially in the context of comparison to real-time reverse transcription polymerase chain reaction. Current evidence is against the use of chest imaging for routine screening of COVID-19 contrary to the initial expectations. It still has an integral role to play, however, in its work up and staging, especially when assessing complications or disease progression. Chest CT is gold standard imaging modality for COVID-19 pneumonia; in some situations, chest X-ray or ultrasound may be an effective alternative. The most important role of radiologists in this context is to be able to identify those patients at greatest risk of imminent clinical decompensation by learning to stratify cases of COVID-19 on the basis of radiologic imaging in the most efficient and timely fashion possible. The present availability of multiple and more refined CT grading systems and classification is now making this task easier and thereby contributing to the recent improvements achieved in COVID-19 treatment and outcomes. In this article, evidence of chest imaging regarding diagnosis, management and monitoring of COVID-19 will be chronologically reviewed.

Details

Title
The role of chest imaging in the diagnosis, management, and monitoring of coronavirus disease 2019 (COVID-19)
Author
Inui Shohei 1   VIAFID ORCID Logo  ; Gonoi Wataru 2 ; Kurokawa Ryo 3 ; Nakai Yudai 2 ; Watanabe, Yusuke 2 ; Sakurai Keita 4 ; Ishida Masanori 2 ; Fujikawa Akira 5 ; Abe, Osamu 2 

 The University of Tokyo, Department of Radiology, Graduate School of Medicine, Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X); Japan Self-Defense Forces Central Hospital, Department of Radiology, Tokyo, Japan (GRID:grid.415474.7) 
 The University of Tokyo, Department of Radiology, Graduate School of Medicine, Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X) 
 University of Michigan, Division of Neuroradiology, Department of Radiology, Ann Arbor, USA (GRID:grid.214458.e) (ISNI:0000000086837370) 
 Department of Radiology, National Center for Geriatrics and Gerontology, Obu, Japan (GRID:grid.419257.c) (ISNI:0000 0004 1791 9005) 
 Japan Self-Defense Forces Central Hospital, Department of Radiology, Tokyo, Japan (GRID:grid.415474.7) 
Publication year
2021
Publication date
Dec 2021
Publisher
Springer Nature B.V.
e-ISSN
18694101
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2591874744
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.