Use of computerized tomography in the diagnosis of COVID-19
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/26764 |
Resumo: | Objective: To provide an up-to-date assessment of the use of CT in cases of COVID-19. Methodology: This research belongs to an integrative review of operationalized literature, guided by the following phases: recognition of the dimension and precision of the interrogation of the literature; the exclusion and inclusion criteria; development of the chosen studies; distribution of elected works; observation of the research and clarification of the results; finally, the display of the complete review. Results: Thus, the studies were predominantly published in the year 2020, being equivalent to 75% of all articles used for the study and about 25% in the year 2021. Therefore, most of the works were from the United States 25%, against 12.5% for France, 12.5% for the Netherlands, 12.5% for Germany, 12.5% for Indonesia, 12.5% for the Netherlands and 12.5% for Spain. Therefore, the main findings in patients with suspected COVID-19 were found at the site: first, ground-glass opacity, second: Consolidations, third: reticular pattern, thickened interlobular septum, air bronchogram, and bronchiolectasis. Thus, the patterns characterize a certain prevalence in patients who present for CT. Conclusion: Conclusion- It is concluded that the diagnosis of Covid-19 is of extreme evaluation of patients, as it has several evolution computers for clinical follow-up, of patients, establishment of success for clinical follow-up, of patients, establishment of evolution for clinical follow-up of patients, establishment of drugs of clinical choice, even for the diagnosis of cases not identified in the RT-PCR test. |
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Use of computerized tomography in the diagnosis of COVID-19Uso de la tomografía computarizada en el diagnóstico de COVID-19Uso da tomografia computadorizada no diagnóstico do COVID-19X-ray computed tomographyCOVID 19 virus infectionCOVID-19.Tomografía computarizada de rayos XInfección por el virus COVID 19COVID-19.Tomografia computadorizada por raios XInfecção por vírus COVID 19COVID-19.Objective: To provide an up-to-date assessment of the use of CT in cases of COVID-19. Methodology: This research belongs to an integrative review of operationalized literature, guided by the following phases: recognition of the dimension and precision of the interrogation of the literature; the exclusion and inclusion criteria; development of the chosen studies; distribution of elected works; observation of the research and clarification of the results; finally, the display of the complete review. Results: Thus, the studies were predominantly published in the year 2020, being equivalent to 75% of all articles used for the study and about 25% in the year 2021. Therefore, most of the works were from the United States 25%, against 12.5% for France, 12.5% for the Netherlands, 12.5% for Germany, 12.5% for Indonesia, 12.5% for the Netherlands and 12.5% for Spain. Therefore, the main findings in patients with suspected COVID-19 were found at the site: first, ground-glass opacity, second: Consolidations, third: reticular pattern, thickened interlobular septum, air bronchogram, and bronchiolectasis. Thus, the patterns characterize a certain prevalence in patients who present for CT. Conclusion: Conclusion- It is concluded that the diagnosis of Covid-19 is of extreme evaluation of patients, as it has several evolution computers for clinical follow-up, of patients, establishment of success for clinical follow-up, of patients, establishment of evolution for clinical follow-up of patients, establishment of drugs of clinical choice, even for the diagnosis of cases not identified in the RT-PCR test.Objetivo: Proporcionar una evaluación actualizada del uso de la TC en los casos de COVID-19. Metodología: Esta investigación pertenece a una revisión integradora de la literatura operacionalizada, guiada por las siguientes fases: reconocimiento de la dimensión y precisión de la interrogación de la literatura; criterios de exclusión e inclusión; desarrollo de los estudios elegidos; distribución de obras seleccionadas; observación de la investigación y aclaración de los resultados; finalmente, la visualización de la revisión completa. Resultados: Así, los estudios fueron publicados predominantemente en el año 2020, siendo equivalente al 75% de todos los artículos utilizados para el estudio y cerca del 25% en el año 2021. Por lo tanto, la mayoría de los trabajos fueron de los Estados Unidos. 25%, contra 12,5% de Francia, 12,5% de Holanda, 12,5% de Alemania, 12,5% de Indonesia, 12,5% de Holanda y 12,5% de España. Por lo tanto, los principales hallazgos en pacientes con sospecha de COVID-19 se encontraron en el sitio: primero, opacidad en vidrio esmerilado, segundo: Consolidaciones, tercero: patrón reticular, tabique interlobulillar engrosado, broncograma aéreo y bronquiolectasias. Así, los patrones caracterizan una cierta prevalencia en los pacientes que acuden a TC. Conclusión: Conclusión- Se concluye que el diagnóstico de Covid-19 es de extrema evaluación de pacientes, ya que cuenta con varios computadores de evolución para seguimiento clínico, de pacientes, establecimiento de éxito para seguimiento clínico, de pacientes, establecimiento de evolución para el seguimiento de los pacientes, establecimiento de fármacos de elección clínica, incluso para el diagnóstico de casos no identificados en la prueba RT-PCR.Objetivo: Fornecer uma avaliação atualizada do uso da Tomografia Computadorizada nos casos de COVID-19. Metodologia: Esta pesquisa pertence a um estudo de revisão integrativa da literatura operacionalizada, tendo como norte as seguintes fases: reconhecimento da temática e a distinção da interrogação da pesquisa; organização dos critérios de exclusão e inclusão; consolidação dos estudos escolhidos; distribuição dos trabalhos eleitos; observação das pesquisas e esclarecimento dos resultados; por fim, a exibição da revisão compreendida. Resultados: Desse modo, os estudos foram publicados com predominância no ano de 2020 sendo o equivalente de 75% de todos os artigos usados para o estudo e cerca de 25% no ano de 2021. Diante disso, a maioria dos trabalhos eram dos Estados Unidos 25%, contra 12,5% da França, 12,5% da Holanda, 12,5% da Alemanha, 12,5% Indonésia, 12,5% da Holanda e 12,5% da Espanha. Sendo assim, os principais achados em pacientes com suspeita de COVID-19 foram em primeiro lugar: Opacidade em vidro fosco, em segundo lugar: Consolidações, em terceiro lugar: padrão reticular, septo interlobular engrossado, broncograma aéreo e bronquiolectasia. Dessa forma, os padrões predominantes caracterizaram uma certa prevalência nos pacientes que compareceram para a realização da Tomografia Computadorizada. Conclusão: Conclui-se que o uso da Tomografia Computadorizada para o diagnóstico do Covid-19 é de extrema valia, pois o mesmo apresenta diversos pontos favoráveis para a sua continuação, sendo eles, para o acompanhamento clínico, evolução dos pacientes, estabelecimento de sucesso em drogas de escolha clínica e até mesmo para o diagnóstico de casos não identificados no teste RT-PCR.Research, Society and Development2022-03-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2676410.33448/rsd-v11i3.26764Research, Society and Development; Vol. 11 No. 3; e43611326764Research, Society and Development; Vol. 11 Núm. 3; e43611326764Research, Society and Development; v. 11 n. 3; e436113267642525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/26764/23408Copyright (c) 2022 Lucas Caetano Castelo Branco; Lucas Costa de Gois; Sabrina Brenda Castelo Branco Silva; Giesley Queiroz Teixeira Castelo Branco; Yara de Sousa Oliveira; Karllenh Ribeiro dos Santos; Natanael Nunes da Silva; Sebastião Bezerra da Silva Neto ; Bruno Abilio da Silva Machado; Mariana Pereira Barbosa Silva; Samuel Lopes dos Santos; Herculys Douglas Clímaco Marques; Ronald Gerard Silva; Idna de Carvalho Barros Taumaturgo; Jâmeson Ferreira da Silvahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessBranco, Lucas Caetano CasteloGois, Lucas Costa deSilva, Sabrina Brenda Castelo BrancoBranco, Giesley Queiroz Teixeira CasteloOliveira, Yara de Sousa Santos, Karllenh Ribeiro dosSilva, Natanael Nunes daSilva Neto , Sebastião Bezerra da Machado, Bruno Abilio da SilvaSilva, Mariana Pereira BarbosaSantos, Samuel Lopes dos Marques, Herculys Douglas Clímaco Silva, Ronald GerardTaumaturgo, Idna de Carvalho BarrosSilva, Jâmeson Ferreira da2022-03-09T13:44:38Zoai:ojs.pkp.sfu.ca:article/26764Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:44:43.404904Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Use of computerized tomography in the diagnosis of COVID-19 Uso de la tomografía computarizada en el diagnóstico de COVID-19 Uso da tomografia computadorizada no diagnóstico do COVID-19 |
title |
Use of computerized tomography in the diagnosis of COVID-19 |
spellingShingle |
Use of computerized tomography in the diagnosis of COVID-19 Branco, Lucas Caetano Castelo X-ray computed tomography COVID 19 virus infection COVID-19. Tomografía computarizada de rayos X Infección por el virus COVID 19 COVID-19. Tomografia computadorizada por raios X Infecção por vírus COVID 19 COVID-19. |
title_short |
Use of computerized tomography in the diagnosis of COVID-19 |
title_full |
Use of computerized tomography in the diagnosis of COVID-19 |
title_fullStr |
Use of computerized tomography in the diagnosis of COVID-19 |
title_full_unstemmed |
Use of computerized tomography in the diagnosis of COVID-19 |
title_sort |
Use of computerized tomography in the diagnosis of COVID-19 |
author |
Branco, Lucas Caetano Castelo |
author_facet |
Branco, Lucas Caetano Castelo Gois, Lucas Costa de Silva, Sabrina Brenda Castelo Branco Branco, Giesley Queiroz Teixeira Castelo Oliveira, Yara de Sousa Santos, Karllenh Ribeiro dos Silva, Natanael Nunes da Silva Neto , Sebastião Bezerra da Machado, Bruno Abilio da Silva Silva, Mariana Pereira Barbosa Santos, Samuel Lopes dos Marques, Herculys Douglas Clímaco Silva, Ronald Gerard Taumaturgo, Idna de Carvalho Barros Silva, Jâmeson Ferreira da |
author_role |
author |
author2 |
Gois, Lucas Costa de Silva, Sabrina Brenda Castelo Branco Branco, Giesley Queiroz Teixeira Castelo Oliveira, Yara de Sousa Santos, Karllenh Ribeiro dos Silva, Natanael Nunes da Silva Neto , Sebastião Bezerra da Machado, Bruno Abilio da Silva Silva, Mariana Pereira Barbosa Santos, Samuel Lopes dos Marques, Herculys Douglas Clímaco Silva, Ronald Gerard Taumaturgo, Idna de Carvalho Barros Silva, Jâmeson Ferreira da |
author2_role |
author author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Branco, Lucas Caetano Castelo Gois, Lucas Costa de Silva, Sabrina Brenda Castelo Branco Branco, Giesley Queiroz Teixeira Castelo Oliveira, Yara de Sousa Santos, Karllenh Ribeiro dos Silva, Natanael Nunes da Silva Neto , Sebastião Bezerra da Machado, Bruno Abilio da Silva Silva, Mariana Pereira Barbosa Santos, Samuel Lopes dos Marques, Herculys Douglas Clímaco Silva, Ronald Gerard Taumaturgo, Idna de Carvalho Barros Silva, Jâmeson Ferreira da |
dc.subject.por.fl_str_mv |
X-ray computed tomography COVID 19 virus infection COVID-19. Tomografía computarizada de rayos X Infección por el virus COVID 19 COVID-19. Tomografia computadorizada por raios X Infecção por vírus COVID 19 COVID-19. |
topic |
X-ray computed tomography COVID 19 virus infection COVID-19. Tomografía computarizada de rayos X Infección por el virus COVID 19 COVID-19. Tomografia computadorizada por raios X Infecção por vírus COVID 19 COVID-19. |
description |
Objective: To provide an up-to-date assessment of the use of CT in cases of COVID-19. Methodology: This research belongs to an integrative review of operationalized literature, guided by the following phases: recognition of the dimension and precision of the interrogation of the literature; the exclusion and inclusion criteria; development of the chosen studies; distribution of elected works; observation of the research and clarification of the results; finally, the display of the complete review. Results: Thus, the studies were predominantly published in the year 2020, being equivalent to 75% of all articles used for the study and about 25% in the year 2021. Therefore, most of the works were from the United States 25%, against 12.5% for France, 12.5% for the Netherlands, 12.5% for Germany, 12.5% for Indonesia, 12.5% for the Netherlands and 12.5% for Spain. Therefore, the main findings in patients with suspected COVID-19 were found at the site: first, ground-glass opacity, second: Consolidations, third: reticular pattern, thickened interlobular septum, air bronchogram, and bronchiolectasis. Thus, the patterns characterize a certain prevalence in patients who present for CT. Conclusion: Conclusion- It is concluded that the diagnosis of Covid-19 is of extreme evaluation of patients, as it has several evolution computers for clinical follow-up, of patients, establishment of success for clinical follow-up, of patients, establishment of evolution for clinical follow-up of patients, establishment of drugs of clinical choice, even for the diagnosis of cases not identified in the RT-PCR test. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-03-02 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/26764 10.33448/rsd-v11i3.26764 |
url |
https://rsdjournal.org/index.php/rsd/article/view/26764 |
identifier_str_mv |
10.33448/rsd-v11i3.26764 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/26764/23408 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 11 No. 3; e43611326764 Research, Society and Development; Vol. 11 Núm. 3; e43611326764 Research, Society and Development; v. 11 n. 3; e43611326764 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
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UNIFEI |
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Research, Society and Development |
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Research, Society and Development |
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Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
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rsd.articles@gmail.com |
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