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International Journal of Zoology and Applied Biosciences Review Article

Received on: 13/09/2025

Revised on: 22/10/2025

Accepted on: 26/10/2025

Published on: 15/11/2025

  • Sujitha K, Swathi T, Sowmiya B, Ruby G and Subha C( 2025).

    CT imaging and corticosteroid use in Covid-19 care: Evidence-based clinical perspectives

    . International Journal of Zoology and Applied Biosciences, 10( 6), 180-183.

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Abstract

Computed tomography (CT) imaging and corticosteroid therapy have played pivotal roles in the diagnosis, monitoring, and management of COVID-19. This review provides evidence-based clinical perspectives on their applications, benefits, and limitations in patient care. CT imaging has proven invaluable in assessing disease severity, identifying pulmonary involvement, and guiding treatment decisions, particularly in moderate to severe cases. Characteristic radiological features such as ground-glass opacities and bilateral infiltrates serve as key diagnostic indicators, complementing RT-PCR testing. Concurrently, corticosteroid therapy, notably dexamethasone, has emerged as a cornerstone in managing severe COVID-19, mitigating hyperinflammatory responses and reducing mortality. However, inappropriate or prolonged steroid use has been linked to secondary infections, including mucormycosis, and delayed viral clearance. This review synthesizes current clinical evidence to highlight the need for judicious steroid administration, timing, and dosage guided by imaging findings and patient profiles. Integrating CT imaging with tailored corticosteroid therapy can optimize clinical outcomes, minimize complications, and improve overall patient management during and beyond the COVID-19 pandemic.

Keywords

COVID-19, CT scan, Steroid therapy, Dexamethasone, Cytokine storm, Oxygen saturation.

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    © The Author(s) 2025. This article is published by International Journal of Zoology and Applied Biosciences under the terms of the Creative Commons Attribution 4.0 International License (creativecommons.org), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.