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Comparison between computerised lung SPECT-CT and noncontrast thoracic HRCT for quantitative analysis of post-acute COVID-19 pulmonary vascular pruning
Computerised processing of images from routine noncontrast HRCT could be an efficient, costless and safe tool to investigate the vascular remodelling that occurs in the months after COVID-19 in a large number of patients https://bit.ly/3qAQZDW
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
European Respiratory Society
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588800/ https://www.ncbi.nlm.nih.gov/pubmed/37868150 http://dx.doi.org/10.1183/23120541.00076-2023 |
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author | Fetita, Catalin Richeux, Jean Didier, Antoine Maury, Mathilde Flint, Jasper Brillet, Pierre-Yves Bergot, Emmanuel Bernaudin, Jean-Francois Justet, Aurélien |
author_facet | Fetita, Catalin Richeux, Jean Didier, Antoine Maury, Mathilde Flint, Jasper Brillet, Pierre-Yves Bergot, Emmanuel Bernaudin, Jean-Francois Justet, Aurélien |
author_sort | Fetita, Catalin |
collection | PubMed |
description | Computerised processing of images from routine noncontrast HRCT could be an efficient, costless and safe tool to investigate the vascular remodelling that occurs in the months after COVID-19 in a large number of patients https://bit.ly/3qAQZDW |
format | Online Article Text |
id | pubmed-10588800 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | European Respiratory Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-105888002023-10-21 Comparison between computerised lung SPECT-CT and noncontrast thoracic HRCT for quantitative analysis of post-acute COVID-19 pulmonary vascular pruning Fetita, Catalin Richeux, Jean Didier, Antoine Maury, Mathilde Flint, Jasper Brillet, Pierre-Yves Bergot, Emmanuel Bernaudin, Jean-Francois Justet, Aurélien ERJ Open Res Research Letters Computerised processing of images from routine noncontrast HRCT could be an efficient, costless and safe tool to investigate the vascular remodelling that occurs in the months after COVID-19 in a large number of patients https://bit.ly/3qAQZDW European Respiratory Society 2023-10-02 /pmc/articles/PMC10588800/ /pubmed/37868150 http://dx.doi.org/10.1183/23120541.00076-2023 Text en Copyright ©The authors 2023 https://creativecommons.org/licenses/by-nc/4.0/This version is distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0. For commercial reproduction rights and permissions contact permissions@ersnet.org (mailto:permissions@ersnet.org) |
spellingShingle | Research Letters Fetita, Catalin Richeux, Jean Didier, Antoine Maury, Mathilde Flint, Jasper Brillet, Pierre-Yves Bergot, Emmanuel Bernaudin, Jean-Francois Justet, Aurélien Comparison between computerised lung SPECT-CT and noncontrast thoracic HRCT for quantitative analysis of post-acute COVID-19 pulmonary vascular pruning |
title | Comparison between computerised lung SPECT-CT and noncontrast thoracic HRCT for quantitative analysis of post-acute COVID-19 pulmonary vascular pruning |
title_full | Comparison between computerised lung SPECT-CT and noncontrast thoracic HRCT for quantitative analysis of post-acute COVID-19 pulmonary vascular pruning |
title_fullStr | Comparison between computerised lung SPECT-CT and noncontrast thoracic HRCT for quantitative analysis of post-acute COVID-19 pulmonary vascular pruning |
title_full_unstemmed | Comparison between computerised lung SPECT-CT and noncontrast thoracic HRCT for quantitative analysis of post-acute COVID-19 pulmonary vascular pruning |
title_short | Comparison between computerised lung SPECT-CT and noncontrast thoracic HRCT for quantitative analysis of post-acute COVID-19 pulmonary vascular pruning |
title_sort | comparison between computerised lung spect-ct and noncontrast thoracic hrct for quantitative analysis of post-acute covid-19 pulmonary vascular pruning |
topic | Research Letters |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588800/ https://www.ncbi.nlm.nih.gov/pubmed/37868150 http://dx.doi.org/10.1183/23120541.00076-2023 |
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