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Microorganisms . COVID-19 in Italy: Comparison of CT Findings from Time Zero to the Delta Variant

tetano

Editor, Senior Moderator
Microorganisms


. 2022 Apr 9;10(4):796.
doi: 10.3390/microorganisms10040796.
COVID-19 in Italy: Comparison of CT Findings from Time Zero to the Delta Variant


Nicola Maggialetti[SUP] 1 [/SUP], Ilaria Villanova[SUP] 2 [/SUP], Annalisa Castrì[SUP] 2 [/SUP], Chiara Noemi Greco[SUP] 2 [/SUP], Francesco Inchingolo[SUP] 3 [/SUP], Daniele Virgilio[SUP] 2 [/SUP], Marco Moschetta[SUP] 2 4 [/SUP], Angela Sardaro[SUP] 2 [/SUP], Amato Antonio Stabile Ianora[SUP] 2 [/SUP], Arnaldo Scardapane[SUP] 2 [/SUP]



Affiliations
Free PMC article

Abstract

On 12 March 2020, the World Health Organization (WHO) declared the novel Coronavirus (CoV) disease a global Pandemic and an emerging risk. In order to understand patterns that are typical in COVID-19 pneumonia and track the evolution of the disease, the role of the chest computed tomography (CT) is pivotal. The impact of the illness as well as the efficiency of the therapy are also monitored carefully when performing this imaging exam. Coronaviruses, specifically CoV-2, as RNA viruses, have a tendency to frequently change their genome, giving the virus beneficial characteristics such as greater transmissibility, pathogenicity and the possibility to escape the previously acquired immunity. Therefore, genome evaluation became an extremely important routine practice worldwide. In particular, in Italy, four variants have been recognised and each of them represent a specific temporal wave of the disease. Hence, our goal was to describe imaging findings of COVID-19 pneumonia, specifically its most typical imaging identified during the period of our study, and to assess whether or not SARS-CoV-2 variants determine different CT patterns. Our analyses revealed that the SARS-CoV-2 genotype seems not to interfere with the severity of CT patterns and, in particular, bilateral Ground Glass Opacities (GGOs) are the most frequent findings in all COVID-19 waves.

Keywords: COVID patterns; COVID variants; COVID-19 disease; GGOs (ground-glass opacities); SARS-CoV-2; chest computed tomography (CT); imaging; pneumonia.
 
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