Estimating COVID-19 Pneumonia Extent and Severity From Chest Computed Tomography.
Autor: | Carvalho ARS; Cardiovascular R&D Centre (UnIC), Department of Surgery and Physiology, Faculty of Medicine, University of Porto, Porto, Portugal.; Laboratory of Pulmonary Engineering, Biomedical Engineering Program, Alberto Luiz Coimbra Institute of Post-Graduation and Research in Engineering, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.; Laboratory of Respiration Physiology, Carlos Chagas Filho Institute of Biophysics, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil., Guimarães A; Laboratory of Pulmonary Engineering, Biomedical Engineering Program, Alberto Luiz Coimbra Institute of Post-Graduation and Research in Engineering, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil., Garcia TSO; Medical Faculty, Universidade Estácio de Sá, Rio de Janeiro, Brazil., Madeira Werberich G; Department of Radiology, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil., Ceotto VF; Hospital Niteroi D'Or, Niterói, Brazil., Bozza FA; D'Or Institute for Research and Education, Rio de Janeiro, Brazil.; National Institute of Infectious Disease, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil., Rodrigues RS; Department of Radiology, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.; D'Or Institute for Research and Education, Rio de Janeiro, Brazil., Pinto JSF; Radiology Department, Complexo Hospitalar Universitário do Porto, Porto, Portugal., Schmitt WR; Radiology Department, Complexo Hospitalar Universitário do Porto, Porto, Portugal., Zin WA; Laboratory of Respiration Physiology, Carlos Chagas Filho Institute of Biophysics, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil., França M; Radiology Department, Complexo Hospitalar Universitário do Porto, Porto, Portugal.; Instituto de Ciências Biomeìdicas Abel Salazar, Porto University, Porto, Portugal. |
---|---|
Jazyk: | angličtina |
Zdroj: | Frontiers in physiology [Front Physiol] 2021 Feb 15; Vol. 12, pp. 617657. Date of Electronic Publication: 2021 Feb 15 (Print Publication: 2021). |
DOI: | 10.3389/fphys.2021.617657 |
Abstrakt: | 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 (CT Purposes: To estimate the extent and severity of COVID-19 pneumonia adjusting the volume and weight of abnormal PO to the predicted CT Methods: Chest CT from 103 COVID-19 and 86 healthy subjects were examined retrospectively. In controls, predictive equations for estimating pCT Results: In controls, CT Conclusion: The proposed estimation of COVID-19 pneumonia extent and severity might be useful for clinical and radiological patient stratification. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2021 Carvalho, Guimarães, Garcia, Madeira Werberich, Ceotto, Bozza, Rodrigues, Pinto, Schmitt, Zin and França.) |
Databáze: | MEDLINE |
Externí odkaz: |