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Estimating COVID-19 Pneumonia Extent and Severity From Chest Computed Tomography
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(LV)). CT-estimated lung weight (CT(LW)) also correlates with pneumonia severity. However, both CT(LV) and CT(LW) de...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7917083/ https://www.ncbi.nlm.nih.gov/pubmed/33658944 http://dx.doi.org/10.3389/fphys.2021.617657 |
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author | Carvalho, Alysson Roncally Silva Guimarães, Alan Garcia, Thiego de Souza Oliveira Madeira Werberich, Gabriel Ceotto, Victor Fraga Bozza, Fernando Augusto Rodrigues, Rosana Souza Pinto, Joana Sofia F. Schmitt, Willian Rebouças Zin, Walter Araujo França, Manuela |
author_facet | Carvalho, Alysson Roncally Silva Guimarães, Alan Garcia, Thiego de Souza Oliveira Madeira Werberich, Gabriel Ceotto, Victor Fraga Bozza, Fernando Augusto Rodrigues, Rosana Souza Pinto, Joana Sofia F. Schmitt, Willian Rebouças Zin, Walter Araujo França, Manuela |
author_sort | Carvalho, Alysson Roncally Silva |
collection | PubMed |
description | 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(LV)). CT-estimated lung weight (CT(LW)) also correlates with pneumonia severity. However, both CT(LV) and CT(LW) 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 CT(LV) (pCT(LV)) and CT(LW) (pCT(LW)), 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 pCT(LV) and pCT(LW) 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 pCT(LV) and pCT(LW), 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, CT(LV) could be predicted by sex and height (adjusted R(2) = 0.57; P < 0.001) while CT(LW) 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 pCT(LV) and pCT(LW) (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. |
format | Online Article Text |
id | pubmed-7917083 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79170832021-03-02 Estimating COVID-19 Pneumonia Extent and Severity From Chest Computed Tomography Carvalho, Alysson Roncally Silva Guimarães, Alan Garcia, Thiego de Souza Oliveira Madeira Werberich, Gabriel Ceotto, Victor Fraga Bozza, Fernando Augusto Rodrigues, Rosana Souza Pinto, Joana Sofia F. Schmitt, Willian Rebouças Zin, Walter Araujo França, Manuela Front Physiol Physiology 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(LV)). CT-estimated lung weight (CT(LW)) also correlates with pneumonia severity. However, both CT(LV) and CT(LW) 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 CT(LV) (pCT(LV)) and CT(LW) (pCT(LW)), 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 pCT(LV) and pCT(LW) 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 pCT(LV) and pCT(LW), 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, CT(LV) could be predicted by sex and height (adjusted R(2) = 0.57; P < 0.001) while CT(LW) 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 pCT(LV) and pCT(LW) (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. Frontiers Media S.A. 2021-02-15 /pmc/articles/PMC7917083/ /pubmed/33658944 http://dx.doi.org/10.3389/fphys.2021.617657 Text en Copyright © 2021 Carvalho, Guimarães, Garcia, Madeira Werberich, Ceotto, Bozza, Rodrigues, Pinto, Schmitt, Zin and França. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Physiology Carvalho, Alysson Roncally Silva Guimarães, Alan Garcia, Thiego de Souza Oliveira Madeira Werberich, Gabriel Ceotto, Victor Fraga Bozza, Fernando Augusto Rodrigues, Rosana Souza Pinto, Joana Sofia F. Schmitt, Willian Rebouças Zin, Walter Araujo França, Manuela Estimating COVID-19 Pneumonia Extent and Severity From Chest Computed Tomography |
title | 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_short | Estimating COVID-19 Pneumonia Extent and Severity From Chest Computed Tomography |
title_sort | estimating covid-19 pneumonia extent and severity from chest computed tomography |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7917083/ https://www.ncbi.nlm.nih.gov/pubmed/33658944 http://dx.doi.org/10.3389/fphys.2021.617657 |
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