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Chest X-ray versus chest computed tomography for outcome prediction in hospitalized patients with COVID-19

The purpose of this study was to compare the prognostic value of chest X-ray (CXR) and chest computed tomography (CT) in a group of hospitalized patients with COVID-19. For this study, we retrospectively selected a cohort of 106 hospitalized patients with COVID-19 who underwent both CXR and chest CT...

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Autores principales: Borghesi, Andrea, Golemi, Salvatore, Scrimieri, Alessandra, Nicosia, Costanza Maria Carlotta, Zigliani, Angelo, Farina, Davide, Maroldi, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Milan 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8791092/
https://www.ncbi.nlm.nih.gov/pubmed/35083642
http://dx.doi.org/10.1007/s11547-022-01456-x
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author Borghesi, Andrea
Golemi, Salvatore
Scrimieri, Alessandra
Nicosia, Costanza Maria Carlotta
Zigliani, Angelo
Farina, Davide
Maroldi, Roberto
author_facet Borghesi, Andrea
Golemi, Salvatore
Scrimieri, Alessandra
Nicosia, Costanza Maria Carlotta
Zigliani, Angelo
Farina, Davide
Maroldi, Roberto
author_sort Borghesi, Andrea
collection PubMed
description The purpose of this study was to compare the prognostic value of chest X-ray (CXR) and chest computed tomography (CT) in a group of hospitalized patients with COVID-19. For this study, we retrospectively selected a cohort of 106 hospitalized patients with COVID-19 who underwent both CXR and chest CT at admission. For each patient, the pulmonary involvement was ranked by applying the Brixia score for CXR and the percentage of well-aerated lung (WAL) for CT. The Brixia score was assigned at admission (A-Brixia score) and during hospitalization. During hospitalization, only the highest score (H-Brixia score) was considered. At admission, the percentage of WAL (A-CT%WAL) was quantified using a dedicated software. On logistic regression analyses, H-Brixia score was the most effective radiological marker for predicting in-hospital mortality and invasive mechanical ventilation. Additionally, A-CT%WAL did not provide substantial advantages in the risk stratification of hospitalized patients with COVID-19 compared to A-Brixia score.
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spelling pubmed-87910922022-01-26 Chest X-ray versus chest computed tomography for outcome prediction in hospitalized patients with COVID-19 Borghesi, Andrea Golemi, Salvatore Scrimieri, Alessandra Nicosia, Costanza Maria Carlotta Zigliani, Angelo Farina, Davide Maroldi, Roberto Radiol Med Chest Radiology The purpose of this study was to compare the prognostic value of chest X-ray (CXR) and chest computed tomography (CT) in a group of hospitalized patients with COVID-19. For this study, we retrospectively selected a cohort of 106 hospitalized patients with COVID-19 who underwent both CXR and chest CT at admission. For each patient, the pulmonary involvement was ranked by applying the Brixia score for CXR and the percentage of well-aerated lung (WAL) for CT. The Brixia score was assigned at admission (A-Brixia score) and during hospitalization. During hospitalization, only the highest score (H-Brixia score) was considered. At admission, the percentage of WAL (A-CT%WAL) was quantified using a dedicated software. On logistic regression analyses, H-Brixia score was the most effective radiological marker for predicting in-hospital mortality and invasive mechanical ventilation. Additionally, A-CT%WAL did not provide substantial advantages in the risk stratification of hospitalized patients with COVID-19 compared to A-Brixia score. Springer Milan 2022-01-26 2022 /pmc/articles/PMC8791092/ /pubmed/35083642 http://dx.doi.org/10.1007/s11547-022-01456-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Chest Radiology
Borghesi, Andrea
Golemi, Salvatore
Scrimieri, Alessandra
Nicosia, Costanza Maria Carlotta
Zigliani, Angelo
Farina, Davide
Maroldi, Roberto
Chest X-ray versus chest computed tomography for outcome prediction in hospitalized patients with COVID-19
title Chest X-ray versus chest computed tomography for outcome prediction in hospitalized patients with COVID-19
title_full Chest X-ray versus chest computed tomography for outcome prediction in hospitalized patients with COVID-19
title_fullStr Chest X-ray versus chest computed tomography for outcome prediction in hospitalized patients with COVID-19
title_full_unstemmed Chest X-ray versus chest computed tomography for outcome prediction in hospitalized patients with COVID-19
title_short Chest X-ray versus chest computed tomography for outcome prediction in hospitalized patients with COVID-19
title_sort chest x-ray versus chest computed tomography for outcome prediction in hospitalized patients with covid-19
topic Chest Radiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8791092/
https://www.ncbi.nlm.nih.gov/pubmed/35083642
http://dx.doi.org/10.1007/s11547-022-01456-x
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