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Curr Med Imaging . Key Radiological Features of COVID-19 Chest CT Scans with a Focus on Special Subgroups: A Literature Review

tetano

Editor, Senior Moderator
Curr Med Imaging


. 2022 Jun 20.
doi: 10.2174/1573405618666220620125332. Online ahead of print.
Key Radiological Features of COVID-19 Chest CT Scans with a Focus on Special Subgroups: A Literature Review


Noor Nouaili[SUP] 1 [/SUP], Rachael Garner[SUP] 1 [/SUP], Sana Salehi[SUP] 1 [/SUP], Marianna La Rocca[SUP] 1 2 [/SUP], Dominique Duncan[SUP] 1 [/SUP]



Affiliations

Abstract

In 2019, a series of novel pneumonia cases later known as Coronavirus Disease 2019 (COVID-19) were reported in Wuhan, China. Chest computed tomography (CT) has played a key role in the management and prognostication in COVID-19 patients. CT has demonstrated 98% Methods: We conducted a comprehensive literature review of 17 published studies, including focuses on three subgroups, pediatric patients, pregnant women, and patients over 60 years old, to identify key characteristics of chest CT in COVID-19 patients. Results: Our comprehensive review of the 17 studies concluded that the main CT imaging finding is ground glass opacities (GGOs) regardless of patient age. We also identified that crazy paving pattern, reverse halo sign, smooth or irregular septal thickening, and pleural thickening may serve as indicators of disease progression. Lesions on CT scans were dominantly distributed in the peripheral zone with multilobar involvement, specifically concentrated in the lower lobes. In the patients over 60 years old, the proportion of substantial lobe involvement was higher than the control group and crazy paving signs, bronchodilation, and pleural thickening were more commonly present. Conclusion: Based on all 17 studies, CT findings in COVID-19 have shown a predictable pattern of evolution over the disease. These studies have proven that CT may be an effective approach for early screening and detection of COVID-19.

Keywords: COVID-19; Lung; Pandemics; Pneumonia; SARS-CoV-2; Tomography; Viral; X-Ray Computed.
 
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