Estimating COVID-19 Pneumonia Extent and Severity From Chest Computed Tomography.
COVID-19
CT-estimated lung volume
CT-estimated lung weight
computed tomography
deep learning
Journal
Frontiers in physiology
ISSN: 1664-042X
Titre abrégé: Front Physiol
Pays: Switzerland
ID NLM: 101549006
Informations de publication
Date de publication:
2021
2021
Historique:
received:
15
10
2020
accepted:
28
01
2021
entrez:
4
3
2021
pubmed:
5
3
2021
medline:
5
3
2021
Statut:
epublish
Résumé
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 To estimate the extent and severity of COVID-19 pneumonia adjusting the volume and weight of abnormal PO to the predicted CT Chest CT from 103 COVID-19 and 86 healthy subjects were examined retrospectively. In controls, predictive equations for estimating pCT In controls, CT The proposed estimation of COVID-19 pneumonia extent and severity might be useful for clinical and radiological patient stratification.
Sections du résumé
BACKGROUND
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
OBJECTIVE
To estimate the extent and severity of COVID-19 pneumonia adjusting the volume and weight of abnormal PO to the predicted CT
METHODS
METHODS
Chest CT from 103 COVID-19 and 86 healthy subjects were examined retrospectively. In controls, predictive equations for estimating pCT
RESULTS
RESULTS
In controls, CT
CONCLUSION
CONCLUSIONS
The proposed estimation of COVID-19 pneumonia extent and severity might be useful for clinical and radiological patient stratification.
Identifiants
pubmed: 33658944
doi: 10.3389/fphys.2021.617657
pmc: PMC7917083
doi:
Types de publication
Journal Article
Langues
eng
Pagination
617657Informations de copyright
Copyright © 2021 Carvalho, Guimarães, Garcia, Madeira Werberich, Ceotto, Bozza, Rodrigues, Pinto, Schmitt, Zin and França.
Déclaration de conflit d'intérêts
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.
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