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Lung vessel volume evaluated with CALIPER software is an independent predictor of mortality in COVID-19 patients: a multicentric retrospective analysis

INTRODUCTION: Computer-Aided Lung Informatics for Pathology Evaluation and Ratings (CALIPER) software has already been widely used in the evaluation of interstitial lung diseases (ILD) but has not yet been tested in patients affected by COVID-19. Our aim was to use it to describe the relationship be...

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Autores principales: Romei, Chiara, Falaschi, Zeno, Danna, Pietro S. C., Airoldi, Chiara, Tonerini, Michele, Rocchi, Erika, Fanni, Salvatore C., D’Amelio, Claudio, Barbieri, Greta, Tiseo, Giusy, Arioli, Roberto, Paschè, Alessio, Karwoski, Ronald A., De Liperi, Annalisa, Bartholmai, Brian J., Carriero, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8757923/
https://www.ncbi.nlm.nih.gov/pubmed/35028751
http://dx.doi.org/10.1007/s00330-021-08485-6
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author Romei, Chiara
Falaschi, Zeno
Danna, Pietro S. C.
Airoldi, Chiara
Tonerini, Michele
Rocchi, Erika
Fanni, Salvatore C.
D’Amelio, Claudio
Barbieri, Greta
Tiseo, Giusy
Arioli, Roberto
Paschè, Alessio
Karwoski, Ronald A.
De Liperi, Annalisa
Bartholmai, Brian J.
Carriero, Alessandro
author_facet Romei, Chiara
Falaschi, Zeno
Danna, Pietro S. C.
Airoldi, Chiara
Tonerini, Michele
Rocchi, Erika
Fanni, Salvatore C.
D’Amelio, Claudio
Barbieri, Greta
Tiseo, Giusy
Arioli, Roberto
Paschè, Alessio
Karwoski, Ronald A.
De Liperi, Annalisa
Bartholmai, Brian J.
Carriero, Alessandro
author_sort Romei, Chiara
collection PubMed
description INTRODUCTION: Computer-Aided Lung Informatics for Pathology Evaluation and Ratings (CALIPER) software has already been widely used in the evaluation of interstitial lung diseases (ILD) but has not yet been tested in patients affected by COVID-19. Our aim was to use it to describe the relationship between Coronavirus Disease 2019 (COVID-19) outcome and the CALIPER-detected pulmonary vascular-related structures (VRS). MATERIALS AND METHODS: We performed a multicentric retrospective study enrolling 570 COVID-19 patients who performed a chest CT in emergency settings in two different institutions. Fifty-three age- and sex-matched healthy controls were also identified. Chest CTs were analyzed with CALIPER identifying the percentage of VRS over the total lung parenchyma. Patients were followed for up to 72 days recording mortality and required intensity of care. RESULTS: There was a statistically significant difference in VRS between COVID-19-positive patients and controls (median (iqr) 4.05 (3.74) and 1.57 (0.40) respectively, p = 0.0001). VRS showed an increasing trend with the severity of care, p < 0.0001. The univariate Cox regression model showed that VRS increase is a risk factor for mortality (HR 1.17, p < 0.0001). The multivariate analysis demonstrated that VRS is an independent explanatory factor of mortality along with age (HR 1.13, p < 0.0001). CONCLUSION: Our study suggests that VRS increases with the required intensity of care, and it is an independent explanatory factor for mortality. KEY POINTS: • The percentage of vascular-related structure volume (VRS) in the lung is significatively increased in COVID-19 patients. • VRS showed an increasing trend with the required intensity of care, test for trend p< 0.0001. • Univariate and multivariate Cox models showed that VRS is a significant and independent explanatory factor of mortality.
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spelling pubmed-87579232022-01-14 Lung vessel volume evaluated with CALIPER software is an independent predictor of mortality in COVID-19 patients: a multicentric retrospective analysis Romei, Chiara Falaschi, Zeno Danna, Pietro S. C. Airoldi, Chiara Tonerini, Michele Rocchi, Erika Fanni, Salvatore C. D’Amelio, Claudio Barbieri, Greta Tiseo, Giusy Arioli, Roberto Paschè, Alessio Karwoski, Ronald A. De Liperi, Annalisa Bartholmai, Brian J. Carriero, Alessandro Eur Radiol Chest INTRODUCTION: Computer-Aided Lung Informatics for Pathology Evaluation and Ratings (CALIPER) software has already been widely used in the evaluation of interstitial lung diseases (ILD) but has not yet been tested in patients affected by COVID-19. Our aim was to use it to describe the relationship between Coronavirus Disease 2019 (COVID-19) outcome and the CALIPER-detected pulmonary vascular-related structures (VRS). MATERIALS AND METHODS: We performed a multicentric retrospective study enrolling 570 COVID-19 patients who performed a chest CT in emergency settings in two different institutions. Fifty-three age- and sex-matched healthy controls were also identified. Chest CTs were analyzed with CALIPER identifying the percentage of VRS over the total lung parenchyma. Patients were followed for up to 72 days recording mortality and required intensity of care. RESULTS: There was a statistically significant difference in VRS between COVID-19-positive patients and controls (median (iqr) 4.05 (3.74) and 1.57 (0.40) respectively, p = 0.0001). VRS showed an increasing trend with the severity of care, p < 0.0001. The univariate Cox regression model showed that VRS increase is a risk factor for mortality (HR 1.17, p < 0.0001). The multivariate analysis demonstrated that VRS is an independent explanatory factor of mortality along with age (HR 1.13, p < 0.0001). CONCLUSION: Our study suggests that VRS increases with the required intensity of care, and it is an independent explanatory factor for mortality. KEY POINTS: • The percentage of vascular-related structure volume (VRS) in the lung is significatively increased in COVID-19 patients. • VRS showed an increasing trend with the required intensity of care, test for trend p< 0.0001. • Univariate and multivariate Cox models showed that VRS is a significant and independent explanatory factor of mortality. Springer Berlin Heidelberg 2022-01-13 2022 /pmc/articles/PMC8757923/ /pubmed/35028751 http://dx.doi.org/10.1007/s00330-021-08485-6 Text en © The Author(s), under exclusive licence to European Society of Radiology 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Chest
Romei, Chiara
Falaschi, Zeno
Danna, Pietro S. C.
Airoldi, Chiara
Tonerini, Michele
Rocchi, Erika
Fanni, Salvatore C.
D’Amelio, Claudio
Barbieri, Greta
Tiseo, Giusy
Arioli, Roberto
Paschè, Alessio
Karwoski, Ronald A.
De Liperi, Annalisa
Bartholmai, Brian J.
Carriero, Alessandro
Lung vessel volume evaluated with CALIPER software is an independent predictor of mortality in COVID-19 patients: a multicentric retrospective analysis
title Lung vessel volume evaluated with CALIPER software is an independent predictor of mortality in COVID-19 patients: a multicentric retrospective analysis
title_full Lung vessel volume evaluated with CALIPER software is an independent predictor of mortality in COVID-19 patients: a multicentric retrospective analysis
title_fullStr Lung vessel volume evaluated with CALIPER software is an independent predictor of mortality in COVID-19 patients: a multicentric retrospective analysis
title_full_unstemmed Lung vessel volume evaluated with CALIPER software is an independent predictor of mortality in COVID-19 patients: a multicentric retrospective analysis
title_short Lung vessel volume evaluated with CALIPER software is an independent predictor of mortality in COVID-19 patients: a multicentric retrospective analysis
title_sort lung vessel volume evaluated with caliper software is an independent predictor of mortality in covid-19 patients: a multicentric retrospective analysis
topic Chest
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8757923/
https://www.ncbi.nlm.nih.gov/pubmed/35028751
http://dx.doi.org/10.1007/s00330-021-08485-6
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