Open Access
CC BY-NC-ND 4.0 · Indian J Radiol Imaging 2024; 34(04): 714-725
DOI: 10.1055/s-0044-1785210
Review Article

COVID-19 Vaccines: A Radiological Review of the Good, the Bad, and the Ugly

1   Department of Radiodiagnosis and Imaging, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India
,
Mohammad Sharoon Ansari
1   Department of Radiodiagnosis and Imaging, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India
,
1   Department of Radiodiagnosis and Imaging, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India
,
Pramod Kumar Singh
1   Department of Radiodiagnosis and Imaging, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India
,
Sankha Shubhra Chakrabarti
2   Department of Geriatrics, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India
,
1   Department of Radiodiagnosis and Imaging, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India
› Author Affiliations

Funding None.
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Abstract

The World Health Organization has declared “with great hope” an end to COVID-19 as a public health emergency. The vaccination drive that started in December 2020 played a crucial role in controlling the pandemic. However, the pace at which COVID-19 vaccines were developed and deployed for general population use led to vaccine hesitancy, largely owing to concerns regarding the safety and efficacy of the vaccines. Radiology has been instrumental in demonstrating the extent of pulmonary involvement and identification of the complications of COVID-19, and the same holds true for vaccine-related complications. This review summarizes the existing body of radiological literature regarding the efficacy, adverse events, and imaging pitfalls that accompany the global rollout of various COVID-19 vaccines.



Publication History

Article published online:
21 April 2024

© 2024. Indian Radiological Association. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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