Volume 8, Issue 5, September 2020, Page: 96-100
Imaging Features of COVID-19: A Review Article
Daba Abdissa, Institute of Health, School of Medical Sciences, Jimma University, Oromia, Ethiopia
Received: Oct. 9, 2020;       Accepted: Oct. 23, 2020;       Published: Nov. 23, 2020
DOI: 10.11648/j.ajcem.20200805.13      View  105      Downloads  54
Background: COVID-19, which is predominantly transmitted by contact between people, turns out to be a public health emergency of international concern and it lacks specificity in both clinical manifestations and laboratory tests. It mainly causes inflammatory lesions in the lungs and can also cause injury to other major organs. Imaging methods have an important role in the diagnosis and evaluation of treatment strategies for COVID-19. Computed tomography plays an important role in the diagnosis and evaluation of the severity in compliment with the RT-PCR test. Comprehensive analysis of the patient's epidemiological history, clinical symptoms, laboratory test and imaging manifestations are necessary in order to early detection, early isolation, and early management. Objective: The purpose of this review was to summarize the radiographic, CT patterns and ultrasonographic features of COVID-19 pneumonia in order to help health professionals for reliable basis for early diagnosis and management of COVID-19. Methods: The literature search for this document was carried out comprehensively by accessing PubMed, Google scholar, Web-of-Science and other data bases. In addition helpful documents were added. Result and conclusion: The most common CT features of COVID-19 are peripherally distributed ground glass opacities, crazy paving pattern and patchy consolidation. Lung ultrasound has a key role in the clinical management of patients with COVID-19 associated lung injury.
COVID-19, Chest CT, Chest X-ray
To cite this article
Daba Abdissa, Imaging Features of COVID-19: A Review Article, American Journal of Clinical and Experimental Medicine. Vol. 8, No. 5, 2020, pp. 96-100. doi: 10.11648/j.ajcem.20200805.13
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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