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Review on radiological evolution of COVID-19 pneumonia using computed tomography

BACKGROUND: Pneumonia is the main manifestation of coronavirus disease 2019 (COVID-19) infection. Chest computed tomography is recommended for the initial evaluation of the disease; this technique can also be helpful to monitor the disease progression and evaluate the therapeutic efficacy. AIM: To r...

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Autores principales: Casartelli, Chiara, Perrone, Fabiana, Balbi, Maurizio, Alfieri, Veronica, Milanese, Gianluca, Buti, Sebastiano, Silva, Mario, Sverzellati, Nicola, Bersanelli, Melissa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8473435/
https://www.ncbi.nlm.nih.gov/pubmed/34630915
http://dx.doi.org/10.4329/wjr.v13.i9.294
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author Casartelli, Chiara
Perrone, Fabiana
Balbi, Maurizio
Alfieri, Veronica
Milanese, Gianluca
Buti, Sebastiano
Silva, Mario
Sverzellati, Nicola
Bersanelli, Melissa
author_facet Casartelli, Chiara
Perrone, Fabiana
Balbi, Maurizio
Alfieri, Veronica
Milanese, Gianluca
Buti, Sebastiano
Silva, Mario
Sverzellati, Nicola
Bersanelli, Melissa
author_sort Casartelli, Chiara
collection PubMed
description BACKGROUND: Pneumonia is the main manifestation of coronavirus disease 2019 (COVID-19) infection. Chest computed tomography is recommended for the initial evaluation of the disease; this technique can also be helpful to monitor the disease progression and evaluate the therapeutic efficacy. AIM: To review the currently available literature regarding the radiological follow-up of COVID-19-related lung alterations using the computed tomography scan, to describe the evidence about the dynamic evolution of COVID-19 pneumonia and verify the potential usefulness of the radiological follow-up. METHODS: We used pertinent keywords on PubMed to select relevant studies; the articles we considered were published until October 30, 2020. Through this selection, 69 studies were identified, and 16 were finally included in the review. RESULTS: Summarizing the included works’ findings, we identified well-defined stages in the short follow-up time frame. A radiographic deterioration reaching a peak roughly within the first 2 wk; after the peak, an absorption process and repairing signs are observed. At later radiological follow-up, with the limitation of little evidence available, the lesions usually did not recover completely. CONCLUSION: Following computed tomography scan evolution over time could help physicians better understand the clinical impact of COVID-19 pneumonia and manage the possible sequelae; a longer follow-up is advisable to verify the complete resolution or the presence of long-term damage.
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spelling pubmed-84734352021-10-09 Review on radiological evolution of COVID-19 pneumonia using computed tomography Casartelli, Chiara Perrone, Fabiana Balbi, Maurizio Alfieri, Veronica Milanese, Gianluca Buti, Sebastiano Silva, Mario Sverzellati, Nicola Bersanelli, Melissa World J Radiol Systematic Reviews BACKGROUND: Pneumonia is the main manifestation of coronavirus disease 2019 (COVID-19) infection. Chest computed tomography is recommended for the initial evaluation of the disease; this technique can also be helpful to monitor the disease progression and evaluate the therapeutic efficacy. AIM: To review the currently available literature regarding the radiological follow-up of COVID-19-related lung alterations using the computed tomography scan, to describe the evidence about the dynamic evolution of COVID-19 pneumonia and verify the potential usefulness of the radiological follow-up. METHODS: We used pertinent keywords on PubMed to select relevant studies; the articles we considered were published until October 30, 2020. Through this selection, 69 studies were identified, and 16 were finally included in the review. RESULTS: Summarizing the included works’ findings, we identified well-defined stages in the short follow-up time frame. A radiographic deterioration reaching a peak roughly within the first 2 wk; after the peak, an absorption process and repairing signs are observed. At later radiological follow-up, with the limitation of little evidence available, the lesions usually did not recover completely. CONCLUSION: Following computed tomography scan evolution over time could help physicians better understand the clinical impact of COVID-19 pneumonia and manage the possible sequelae; a longer follow-up is advisable to verify the complete resolution or the presence of long-term damage. Baishideng Publishing Group Inc 2021-09-28 2021-09-28 /pmc/articles/PMC8473435/ /pubmed/34630915 http://dx.doi.org/10.4329/wjr.v13.i9.294 Text en ©The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.
spellingShingle Systematic Reviews
Casartelli, Chiara
Perrone, Fabiana
Balbi, Maurizio
Alfieri, Veronica
Milanese, Gianluca
Buti, Sebastiano
Silva, Mario
Sverzellati, Nicola
Bersanelli, Melissa
Review on radiological evolution of COVID-19 pneumonia using computed tomography
title Review on radiological evolution of COVID-19 pneumonia using computed tomography
title_full Review on radiological evolution of COVID-19 pneumonia using computed tomography
title_fullStr Review on radiological evolution of COVID-19 pneumonia using computed tomography
title_full_unstemmed Review on radiological evolution of COVID-19 pneumonia using computed tomography
title_short Review on radiological evolution of COVID-19 pneumonia using computed tomography
title_sort review on radiological evolution of covid-19 pneumonia using computed tomography
topic Systematic Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8473435/
https://www.ncbi.nlm.nih.gov/pubmed/34630915
http://dx.doi.org/10.4329/wjr.v13.i9.294
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