Imaging Findings of COVID-19 on Computed Tomography: A Narrative Review
Autor(a) principal: | |
---|---|
Data de Publicação: | 2023 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://doi.org/10.46885/roentgen.v4i2.100 |
Resumo: | Introduction: In December 2019, in the Chinese city of Wuhan, a respiratory infection caused by the SARS-CoV-2 virus was identified for the first time in humans. The disease caused by this virus continues to spread around the world, representing a major global health problem. Considering that computed tomography (CT) of the chest is an essential exam to evaluate and determine the extent of lung lesions that may occur, this review aims to describe the most characteristic and common imaging findings caused by Covid-19. Materials and Methods: In this narrative review, articles from the ScienceDirect scientific platform were analyzed, using the following research equation: “Covid-19 AND ("radiological findings" OR "image findings") AND radiography and CT”. Articles published in English, in the timeframe from 2020 to 2023, and using filtering to select open access articles on the Eduroam network, corresponding to the typology of research or review articles, were considered. In total, 10 articles were considered for narrative analysis according to the SANRA scale (Scale for the Assessment of Narrative Review Articles), selected based on the PRISMA checklist (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). Results: The consulted literature reports that the most frequent CT imaging findings are ground-glass opacity, lung consolidations, mosaic paving, lung fibrosis and vascular thickening, with the lungs being more affected peripherally and in the lower lobe region Conclusion: The imaging patterns of Covid-19 on chest CT usually follow typical characteristics, although they are not pathognomonic as they lack specificity in differentiating the radiological semiology of different types of pneumonia. However, CT remains useful in determining the location and extent of lesions caused by this virus. |
id |
RCAP_a63ad33e33c665c343469dd3d53fa831 |
---|---|
oai_identifier_str |
oai:roentgen.pt:article/100 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Imaging Findings of COVID-19 on Computed Tomography: A Narrative ReviewAchados Imagiológicos da COVID-19 em Tomografia Computorizada: Uma Revisão NarrativaCovid-19Computed tomographyChestImaging FindingsLungsCovid-19Tomografia ComputorizadaTóraxAchados ImagiológicosPulmõesIntroduction: In December 2019, in the Chinese city of Wuhan, a respiratory infection caused by the SARS-CoV-2 virus was identified for the first time in humans. The disease caused by this virus continues to spread around the world, representing a major global health problem. Considering that computed tomography (CT) of the chest is an essential exam to evaluate and determine the extent of lung lesions that may occur, this review aims to describe the most characteristic and common imaging findings caused by Covid-19. Materials and Methods: In this narrative review, articles from the ScienceDirect scientific platform were analyzed, using the following research equation: “Covid-19 AND ("radiological findings" OR "image findings") AND radiography and CT”. Articles published in English, in the timeframe from 2020 to 2023, and using filtering to select open access articles on the Eduroam network, corresponding to the typology of research or review articles, were considered. In total, 10 articles were considered for narrative analysis according to the SANRA scale (Scale for the Assessment of Narrative Review Articles), selected based on the PRISMA checklist (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). Results: The consulted literature reports that the most frequent CT imaging findings are ground-glass opacity, lung consolidations, mosaic paving, lung fibrosis and vascular thickening, with the lungs being more affected peripherally and in the lower lobe region Conclusion: The imaging patterns of Covid-19 on chest CT usually follow typical characteristics, although they are not pathognomonic as they lack specificity in differentiating the radiological semiology of different types of pneumonia. However, CT remains useful in determining the location and extent of lesions caused by this virus.Introdução: Em dezembro de 2019, na cidade chinesa de Wuhan, foi identificado pela primeira vez em humanos uma infeção respiratória provocada pelo vírus SARS-CoV-2. A doença causada por este vírus continua a disseminar-se em todo o mundo, representando um grande problema de saúde global. Considerando que a tomografia computadorizada (TC) de tórax é um exame essencial para avaliar e determinar a extensão de lesões pulmonares que podem ocorrer, esta revisão pretende descrever os achados imagiológicos mais característicos e comuns causados pelo Covid-19. Materiais e Métodos: Nesta revisão narrativa foram analisados artigos provenientes da plataforma científica ScienceDirect, usando a seguinte equação de pesquisa: “Covid-19 AND ("radiological findings" OR "image findings") AND radiography and CT”. Foram considerados artigos publicados em inglês, no espaço temporal de 2020 a 2023, e recorrendo a filtragem para seleção de artigos de acesso aberto na rede Eduroam, correspondentes à tipologia de artigos de investigação ou de revisão. No total, foram considerados 10 artigos para análise narrativa de acordo com a escala SANRA (Scale for the Assessment of Narrative Review Articles), selecionados com base na lista de verificação PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). Resultados: A literatura consultada refere que os achados imagiológicos em TC mais frequentes são a opacidade de vidro fosco, consolidações pulmonares, pavimentação em mosaico, fibrose pulmonar e espessamento vascular, sendo os pulmões mais afetados perifericamente e na região dos lobos inferiores. Conclusão: Os padrões imagiológicos da Covid-19 na TC de tórax, habitualmente, seguem características típicas, embora não sejam patognomónicos pois carecem de especificidade na diferenciação da semiologia radiológica dos diferentes tipos de pneumonia. No entanto, a TC continua a ser útil na determinação da localização e extensão das lesões provocadas por este vírus.NUCLIRAD - Núcleo de Desenvolvimento dos Técnicos de Radiologia2023-07-28info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.46885/roentgen.v4i2.100https://doi.org/10.46885/roentgen.v4i2.100ROENTGEN-Scientific Journal of Radiological Techniques; Vol. 4 No. 2 (2023): Innovations impacting Radiology; 56-64ROENTGEN-Revista Científica das Técnicas Radiológicas; v. 4 n. 2 (2023): Inovações com impacto na Radiologia; 56-642184-7657reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPporhttps://roentgen.pt/index.php/Principal/article/view/100https://roentgen.pt/index.php/Principal/article/view/100/90Direitos de Autor (c) 2023 ROENTGEN-Revista Científica das Técnicas Radiológicasinfo:eu-repo/semantics/openAccessAlmeida, Rui PedroMarreiros, RodrigoDamásio, AfonsoTareco, PedroVicente, SimãoAlves, Tomás2024-05-15T18:38:36Zoai:roentgen.pt:article/100Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-15T18:38:36Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Imaging Findings of COVID-19 on Computed Tomography: A Narrative Review Achados Imagiológicos da COVID-19 em Tomografia Computorizada: Uma Revisão Narrativa |
title |
Imaging Findings of COVID-19 on Computed Tomography: A Narrative Review |
spellingShingle |
Imaging Findings of COVID-19 on Computed Tomography: A Narrative Review Almeida, Rui Pedro Covid-19 Computed tomography Chest Imaging Findings Lungs Covid-19 Tomografia Computorizada Tórax Achados Imagiológicos Pulmões |
title_short |
Imaging Findings of COVID-19 on Computed Tomography: A Narrative Review |
title_full |
Imaging Findings of COVID-19 on Computed Tomography: A Narrative Review |
title_fullStr |
Imaging Findings of COVID-19 on Computed Tomography: A Narrative Review |
title_full_unstemmed |
Imaging Findings of COVID-19 on Computed Tomography: A Narrative Review |
title_sort |
Imaging Findings of COVID-19 on Computed Tomography: A Narrative Review |
author |
Almeida, Rui Pedro |
author_facet |
Almeida, Rui Pedro Marreiros, Rodrigo Damásio, Afonso Tareco, Pedro Vicente, Simão Alves, Tomás |
author_role |
author |
author2 |
Marreiros, Rodrigo Damásio, Afonso Tareco, Pedro Vicente, Simão Alves, Tomás |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Almeida, Rui Pedro Marreiros, Rodrigo Damásio, Afonso Tareco, Pedro Vicente, Simão Alves, Tomás |
dc.subject.por.fl_str_mv |
Covid-19 Computed tomography Chest Imaging Findings Lungs Covid-19 Tomografia Computorizada Tórax Achados Imagiológicos Pulmões |
topic |
Covid-19 Computed tomography Chest Imaging Findings Lungs Covid-19 Tomografia Computorizada Tórax Achados Imagiológicos Pulmões |
description |
Introduction: In December 2019, in the Chinese city of Wuhan, a respiratory infection caused by the SARS-CoV-2 virus was identified for the first time in humans. The disease caused by this virus continues to spread around the world, representing a major global health problem. Considering that computed tomography (CT) of the chest is an essential exam to evaluate and determine the extent of lung lesions that may occur, this review aims to describe the most characteristic and common imaging findings caused by Covid-19. Materials and Methods: In this narrative review, articles from the ScienceDirect scientific platform were analyzed, using the following research equation: “Covid-19 AND ("radiological findings" OR "image findings") AND radiography and CT”. Articles published in English, in the timeframe from 2020 to 2023, and using filtering to select open access articles on the Eduroam network, corresponding to the typology of research or review articles, were considered. In total, 10 articles were considered for narrative analysis according to the SANRA scale (Scale for the Assessment of Narrative Review Articles), selected based on the PRISMA checklist (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). Results: The consulted literature reports that the most frequent CT imaging findings are ground-glass opacity, lung consolidations, mosaic paving, lung fibrosis and vascular thickening, with the lungs being more affected peripherally and in the lower lobe region Conclusion: The imaging patterns of Covid-19 on chest CT usually follow typical characteristics, although they are not pathognomonic as they lack specificity in differentiating the radiological semiology of different types of pneumonia. However, CT remains useful in determining the location and extent of lesions caused by this virus. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-07-28 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://doi.org/10.46885/roentgen.v4i2.100 https://doi.org/10.46885/roentgen.v4i2.100 |
url |
https://doi.org/10.46885/roentgen.v4i2.100 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://roentgen.pt/index.php/Principal/article/view/100 https://roentgen.pt/index.php/Principal/article/view/100/90 |
dc.rights.driver.fl_str_mv |
Direitos de Autor (c) 2023 ROENTGEN-Revista Científica das Técnicas Radiológicas info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Direitos de Autor (c) 2023 ROENTGEN-Revista Científica das Técnicas Radiológicas |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
NUCLIRAD - Núcleo de Desenvolvimento dos Técnicos de Radiologia |
publisher.none.fl_str_mv |
NUCLIRAD - Núcleo de Desenvolvimento dos Técnicos de Radiologia |
dc.source.none.fl_str_mv |
ROENTGEN-Scientific Journal of Radiological Techniques; Vol. 4 No. 2 (2023): Innovations impacting Radiology; 56-64 ROENTGEN-Revista Científica das Técnicas Radiológicas; v. 4 n. 2 (2023): Inovações com impacto na Radiologia; 56-64 2184-7657 reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
mluisa.alvim@gmail.com |
_version_ |
1817545410493808640 |