Estimating COVID-19 Pneumonia Extent and Severity From Chest Computed Tomography

Detalhes bibliográficos
Autor(a) principal: Carvalho, Alysson Roncally Silva
Data de Publicação: 2021
Outros Autores: Guimarães, Alan, Garcia, Thiego de Souza Oliveira, Werberich, Gabriel Madeira, Ceotto, Victor Fraga, Bozza, Fernando Augusto, Rodrigues, Rosana Souza, Pinto, Joana Sofia F., Schmitt, Willian Rebouças, Zin, Walter Araujo, França, Manuela
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/50534
Resumo: University of Porto. Faculty of Medicine. Department of Surgery and Physiology. Cardiovascular R&D Centre. Porto, Portugal / Universidade Federal do Rio de Janeiro. Alberto Luiz Coimbra Institute of Post-Graduation and Research in Engineering. Biomedical Engineering Program. Laboratory of Pulmonary Engineering. Rio de Janeiro, RJ, Brazil / Universidade Federal do Rio de Janeiro. Carlos Chagas Filho Institute of Biophysics. Laboratory of Respiration Physiology. Rio de Janeiro, RJ, Brazil.
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spelling Carvalho, Alysson Roncally SilvaGuimarães, AlanGarcia, Thiego de Souza OliveiraWerberich, Gabriel MadeiraCeotto, Victor FragaBozza, Fernando AugustoRodrigues, Rosana SouzaPinto, Joana Sofia F.Schmitt, Willian RebouçasZin, Walter AraujoFrança, Manuela2021-12-28T13:04:27Z2021-12-28T13:04:27Z2021CARVALHO, Alysson Roncally Silva et al. Estimating COVID-19 Pneumonia Extent and Severity From Chest Computed Tomography. Frontiers in physiology, v. 12, p. 1-12, 20211664-042Xhttps://www.arca.fiocruz.br/handle/icict/5053410.3389/fphys.2021.617657engFrontiers MediaEstimating COVID-19 Pneumonia Extent and Severity From Chest Computed Tomographyinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleUniversity of Porto. Faculty of Medicine. Department of Surgery and Physiology. Cardiovascular R&D Centre. Porto, Portugal / Universidade Federal do Rio de Janeiro. Alberto Luiz Coimbra Institute of Post-Graduation and Research in Engineering. Biomedical Engineering Program. Laboratory of Pulmonary Engineering. Rio de Janeiro, RJ, Brazil / Universidade Federal do Rio de Janeiro. Carlos Chagas Filho Institute of Biophysics. Laboratory of Respiration Physiology. Rio de Janeiro, RJ, Brazil.Universidade Federal do Rio de Janeiro. Alberto Luiz Coimbra Institute of Post-Graduation and Research in Engineering. Biomedical Engineering Program. Laboratory of Pulmonary Engineering. Rio de Janeiro, RJ, Brazil.Universidade Estácio de Sá. Medical Faculty. Rio de Janeiro, RJ, Brazil.Universidade Federal do Rio de Janeiro. Department of Radiology. Rio de Janeiro, RJ, Brazil.Hospital Niteroi D'Or. Niterói, RJ, Brazil.Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Rio de Janeiro, RJ, Brasil / Instituto D'Or de Pesquisa e Ensino, Rio de Janeiro, RJ, Brasil.Universidade Federal do Rio de Janeiro. Department of Radiology. Rio de Janeiro, RJ, Brazil / Instituto D'Or de Pesquisa e Ensino, Rio de Janeiro, RJ, Brasil.Complexo Hospitalar Universitário do Porto. Radiology Department. Porto, Portugal.Complexo Hospitalar Universitário do Porto. Radiology Department. Porto, Portugal.Universidade Federal do Rio de Janeiro. Carlos Chagas Filho Institute of Biophysics. Laboratory of Respiration Physiology. Rio de Janeiro, RJ, Brazil.Complexo Hospitalar Universitário do Porto. Radiology Department. Porto, Portugal / Porto University. Instituto de Ciências Biomeìdicas Abel Salazar. Porto, Portugal.Background: COVID-19 pneumonia extension is assessed by computed tomography (CT) with the ratio between the volume of abnormal pulmonary opacities (PO) and CT-estimated lung volume (CTLV). CT-estimated lung weight (CTLW) also correlates with pneumonia severity. However, both CTLV and CTLW depend on demographic and anthropometric variables. Purposes: To estimate the extent and severity of COVID-19 pneumonia adjusting the volume and weight of abnormal PO to the predicted CTLV (pCTLV) and CTLW (pCTLW), respectively, and to evaluate their possible association with clinical and radiological outcomes. Methods: Chest CT from 103 COVID-19 and 86 healthy subjects were examined retrospectively. In controls, predictive equations for estimating pCTLV and pCTLW were assessed. COVID-19 pneumonia extent and severity were then defined as the ratio between the volume and the weight of abnormal PO expressed as a percentage of the pCTLV and pCTLW, respectively. A ROC analysis was used to test differential diagnosis ability of the proposed method in COVID-19 and controls. The degree of pneumonia extent and severity was assessed with Z-scores relative to the average volume and weight of PO in controls. Accordingly, COVID-19 patients were classified as with limited, moderate and diffuse pneumonia extent and as with mild, moderate and severe pneumonia severity. Results: In controls, CTLV could be predicted by sex and height (adjusted R 2 = 0.57; P < 0.001) while CTLW by age, sex, and height (adjusted R 2 = 0.6; P < 0.001). The cutoff of 20% (AUC = 0.91, 95%CI 0.88-0.93) for pneumonia extent and of 50% (AUC = 0.91, 95%CI 0.89-0.92) for pneumonia severity were obtained. Pneumonia extent were better correlated when expressed as a percentage of the pCTLV and pCTLW (r = 0.85, P < 0.001), respectively. COVID-19 patients with diffuse and severe pneumonia at admission presented significantly higher CRP concentration, intra-hospital mortality, ICU stay and ventilatory support necessity, than those with moderate and limited/mild pneumonia. Moreover, pneumonia severity, but not extent, was positively and moderately correlated with age (r = 0.46) and CRP concentration (r = 0.44). Conclusion: The proposed estimation of COVID-19 pneumonia extent and severity might be useful for clinical and radiological patient stratification.COVID-19CT-estimated lung volumeCT-estimated lung weightComputed tomographyDeep learninginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-83099https://www.arca.fiocruz.br/bitstream/icict/50534/1/license.txt586c046dcfeef936e32f0323bb9a47c0MD51ORIGINALEstimating_Fernando_Bozza_etal_INI_2021_COVID-19.pdfEstimating_Fernando_Bozza_etal_INI_2021_COVID-19.pdfapplication/pdf6145293https://www.arca.fiocruz.br/bitstream/icict/50534/2/Estimating_Fernando_Bozza_etal_INI_2021_COVID-19.pdf69ff7f191e61df320be84503083d9016MD52icict/505342021-12-28 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dc.title.pt_BR.fl_str_mv Estimating COVID-19 Pneumonia Extent and Severity From Chest Computed Tomography
title Estimating COVID-19 Pneumonia Extent and Severity From Chest Computed Tomography
spellingShingle Estimating COVID-19 Pneumonia Extent and Severity From Chest Computed Tomography
Carvalho, Alysson Roncally Silva
COVID-19
CT-estimated lung volume
CT-estimated lung weight
Computed tomography
Deep learning
title_short Estimating COVID-19 Pneumonia Extent and Severity From Chest Computed Tomography
title_full Estimating COVID-19 Pneumonia Extent and Severity From Chest Computed Tomography
title_fullStr Estimating COVID-19 Pneumonia Extent and Severity From Chest Computed Tomography
title_full_unstemmed Estimating COVID-19 Pneumonia Extent and Severity From Chest Computed Tomography
title_sort Estimating COVID-19 Pneumonia Extent and Severity From Chest Computed Tomography
author Carvalho, Alysson Roncally Silva
author_facet Carvalho, Alysson Roncally Silva
Guimarães, Alan
Garcia, Thiego de Souza Oliveira
Werberich, Gabriel Madeira
Ceotto, Victor Fraga
Bozza, Fernando Augusto
Rodrigues, Rosana Souza
Pinto, Joana Sofia F.
Schmitt, Willian Rebouças
Zin, Walter Araujo
França, Manuela
author_role author
author2 Guimarães, Alan
Garcia, Thiego de Souza Oliveira
Werberich, Gabriel Madeira
Ceotto, Victor Fraga
Bozza, Fernando Augusto
Rodrigues, Rosana Souza
Pinto, Joana Sofia F.
Schmitt, Willian Rebouças
Zin, Walter Araujo
França, Manuela
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Carvalho, Alysson Roncally Silva
Guimarães, Alan
Garcia, Thiego de Souza Oliveira
Werberich, Gabriel Madeira
Ceotto, Victor Fraga
Bozza, Fernando Augusto
Rodrigues, Rosana Souza
Pinto, Joana Sofia F.
Schmitt, Willian Rebouças
Zin, Walter Araujo
França, Manuela
dc.subject.en.pt_BR.fl_str_mv COVID-19
CT-estimated lung volume
CT-estimated lung weight
Computed tomography
Deep learning
topic COVID-19
CT-estimated lung volume
CT-estimated lung weight
Computed tomography
Deep learning
description University of Porto. Faculty of Medicine. Department of Surgery and Physiology. Cardiovascular R&D Centre. Porto, Portugal / Universidade Federal do Rio de Janeiro. Alberto Luiz Coimbra Institute of Post-Graduation and Research in Engineering. Biomedical Engineering Program. Laboratory of Pulmonary Engineering. Rio de Janeiro, RJ, Brazil / Universidade Federal do Rio de Janeiro. Carlos Chagas Filho Institute of Biophysics. Laboratory of Respiration Physiology. Rio de Janeiro, RJ, Brazil.
publishDate 2021
dc.date.accessioned.fl_str_mv 2021-12-28T13:04:27Z
dc.date.available.fl_str_mv 2021-12-28T13:04:27Z
dc.date.issued.fl_str_mv 2021
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.citation.fl_str_mv CARVALHO, Alysson Roncally Silva et al. Estimating COVID-19 Pneumonia Extent and Severity From Chest Computed Tomography. Frontiers in physiology, v. 12, p. 1-12, 2021
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/50534
dc.identifier.issn.pt_BR.fl_str_mv 1664-042X
dc.identifier.doi.none.fl_str_mv 10.3389/fphys.2021.617657
identifier_str_mv CARVALHO, Alysson Roncally Silva et al. Estimating COVID-19 Pneumonia Extent and Severity From Chest Computed Tomography. Frontiers in physiology, v. 12, p. 1-12, 2021
1664-042X
10.3389/fphys.2021.617657
url https://www.arca.fiocruz.br/handle/icict/50534
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Frontiers Media
publisher.none.fl_str_mv Frontiers Media
dc.source.none.fl_str_mv reponame:Repositório Institucional da FIOCRUZ (ARCA)
instname:Fundação Oswaldo Cruz (FIOCRUZ)
instacron:FIOCRUZ
instname_str Fundação Oswaldo Cruz (FIOCRUZ)
instacron_str FIOCRUZ
institution FIOCRUZ
reponame_str Repositório Institucional da FIOCRUZ (ARCA)
collection Repositório Institucional da FIOCRUZ (ARCA)
bitstream.url.fl_str_mv https://www.arca.fiocruz.br/bitstream/icict/50534/1/license.txt
https://www.arca.fiocruz.br/bitstream/icict/50534/2/Estimating_Fernando_Bozza_etal_INI_2021_COVID-19.pdf
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repository.name.fl_str_mv Repositório Institucional da FIOCRUZ (ARCA) - Fundação Oswaldo Cruz (FIOCRUZ)
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