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Quantitative Chest CT Analysis to Measure Short-Term Sequelae of COVID-19 Pneumonia: A Monocentric Prospective Study

(1) Background: Quantitative CT analysis (QCT) has demonstrated promising results in the prognosis prediction of patients affected by COVID-19. We implemented QCT not only at diagnosis but also at short-term follow-up, pairing it with a clinical examination in search of a correlation between residua...

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Autores principales: Lanza, Ezio, Ammirabile, Angela, Casana, Maddalena, Pocaterra, Daria, Tordato, Federica Maria Pilar, Varisco, Benedetta, Lisi, Costanza, Messana, Gaia, Balzarini, Luca, Morelli, Paola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228902/
https://www.ncbi.nlm.nih.gov/pubmed/35736878
http://dx.doi.org/10.3390/tomography8030130
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author Lanza, Ezio
Ammirabile, Angela
Casana, Maddalena
Pocaterra, Daria
Tordato, Federica Maria Pilar
Varisco, Benedetta
Lisi, Costanza
Messana, Gaia
Balzarini, Luca
Morelli, Paola
author_facet Lanza, Ezio
Ammirabile, Angela
Casana, Maddalena
Pocaterra, Daria
Tordato, Federica Maria Pilar
Varisco, Benedetta
Lisi, Costanza
Messana, Gaia
Balzarini, Luca
Morelli, Paola
author_sort Lanza, Ezio
collection PubMed
description (1) Background: Quantitative CT analysis (QCT) has demonstrated promising results in the prognosis prediction of patients affected by COVID-19. We implemented QCT not only at diagnosis but also at short-term follow-up, pairing it with a clinical examination in search of a correlation between residual respiratory symptoms and abnormal QCT results. (2) Methods: In this prospective monocentric trial performed during the “first wave” of the Italian pandemic, i.e., from March to May 2020, we aimed to test the relationship between %deltaCL (variation of %CL-compromised lung volume) and variations of symptoms-dyspnea, cough and chest pain-at follow-up clinical assessment after hospitalization. (3) Results: 282 patients (95 females, 34%) with a median age of 60 years (IQR, 51–69) were included. We reported a correlation between changing lung abnormalities measured by QCT, and residual symptoms at short-term follow up after COVID-19 pneumonia. Independently from age, a low percentage of surviving patients (1–4%) may present residual respiratory symptoms at approximately two months after discharge. QCT was able to quantify the extent of residual lung damage underlying such symptoms, as the reduction of both %PAL (poorly aerated lung) and %CL volumes was correlated to their disappearance. (4) Conclusions QCT may be used as an objective metric for the measurement of COVID-19 sequelae.
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spelling pubmed-92289022022-06-25 Quantitative Chest CT Analysis to Measure Short-Term Sequelae of COVID-19 Pneumonia: A Monocentric Prospective Study Lanza, Ezio Ammirabile, Angela Casana, Maddalena Pocaterra, Daria Tordato, Federica Maria Pilar Varisco, Benedetta Lisi, Costanza Messana, Gaia Balzarini, Luca Morelli, Paola Tomography Article (1) Background: Quantitative CT analysis (QCT) has demonstrated promising results in the prognosis prediction of patients affected by COVID-19. We implemented QCT not only at diagnosis but also at short-term follow-up, pairing it with a clinical examination in search of a correlation between residual respiratory symptoms and abnormal QCT results. (2) Methods: In this prospective monocentric trial performed during the “first wave” of the Italian pandemic, i.e., from March to May 2020, we aimed to test the relationship between %deltaCL (variation of %CL-compromised lung volume) and variations of symptoms-dyspnea, cough and chest pain-at follow-up clinical assessment after hospitalization. (3) Results: 282 patients (95 females, 34%) with a median age of 60 years (IQR, 51–69) were included. We reported a correlation between changing lung abnormalities measured by QCT, and residual symptoms at short-term follow up after COVID-19 pneumonia. Independently from age, a low percentage of surviving patients (1–4%) may present residual respiratory symptoms at approximately two months after discharge. QCT was able to quantify the extent of residual lung damage underlying such symptoms, as the reduction of both %PAL (poorly aerated lung) and %CL volumes was correlated to their disappearance. (4) Conclusions QCT may be used as an objective metric for the measurement of COVID-19 sequelae. MDPI 2022-06-17 /pmc/articles/PMC9228902/ /pubmed/35736878 http://dx.doi.org/10.3390/tomography8030130 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lanza, Ezio
Ammirabile, Angela
Casana, Maddalena
Pocaterra, Daria
Tordato, Federica Maria Pilar
Varisco, Benedetta
Lisi, Costanza
Messana, Gaia
Balzarini, Luca
Morelli, Paola
Quantitative Chest CT Analysis to Measure Short-Term Sequelae of COVID-19 Pneumonia: A Monocentric Prospective Study
title Quantitative Chest CT Analysis to Measure Short-Term Sequelae of COVID-19 Pneumonia: A Monocentric Prospective Study
title_full Quantitative Chest CT Analysis to Measure Short-Term Sequelae of COVID-19 Pneumonia: A Monocentric Prospective Study
title_fullStr Quantitative Chest CT Analysis to Measure Short-Term Sequelae of COVID-19 Pneumonia: A Monocentric Prospective Study
title_full_unstemmed Quantitative Chest CT Analysis to Measure Short-Term Sequelae of COVID-19 Pneumonia: A Monocentric Prospective Study
title_short Quantitative Chest CT Analysis to Measure Short-Term Sequelae of COVID-19 Pneumonia: A Monocentric Prospective Study
title_sort quantitative chest ct analysis to measure short-term sequelae of covid-19 pneumonia: a monocentric prospective study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228902/
https://www.ncbi.nlm.nih.gov/pubmed/35736878
http://dx.doi.org/10.3390/tomography8030130
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