Lung volume reduction and infection localization revealed in Big data CT imaging of COVID-19

The ongoing worldwide COVID-19 pandemic has become a huge threat to global public health. Using CT image, 3389 COVID-19 patients, 1593 community-acquired pneumonia (CAP) patients, and 1707 nonpneumonia subjects were included to explore the different patterns of lung and lung infection. We found that...

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Detalles Bibliográficos
Autores principales: Shi, Feng, Wei, Ying, Xia, Liming, Shan, Fei, Mo, Zhanhao, Yan, Fuhua, Shen, Dinggang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2021
Materias:
Short Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7607261/
https://www.ncbi.nlm.nih.gov/pubmed/33157298
http://dx.doi.org/10.1016/j.ijid.2020.10.095
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author Shi, Feng
Wei, Ying
Xia, Liming
Shan, Fei
Mo, Zhanhao
Yan, Fuhua
Shen, Dinggang
author_facet Shi, Feng
Wei, Ying
Xia, Liming
Shan, Fei
Mo, Zhanhao
Yan, Fuhua
Shen, Dinggang
author_sort Shi, Feng
collection PubMed
description The ongoing worldwide COVID-19 pandemic has become a huge threat to global public health. Using CT image, 3389 COVID-19 patients, 1593 community-acquired pneumonia (CAP) patients, and 1707 nonpneumonia subjects were included to explore the different patterns of lung and lung infection. We found that COVID-19 patients have a significant reduced lung volume with increased density and mass, and the infections tend to present as bilateral lower lobes. The findings provide imaging evidence to improve our understanding of COVID-19.
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spelling pubmed-76072612020-11-03 Lung volume reduction and infection localization revealed in Big data CT imaging of COVID-19 Shi, Feng Wei, Ying Xia, Liming Shan, Fei Mo, Zhanhao Yan, Fuhua Shen, Dinggang Int J Infect Dis Short Communication The ongoing worldwide COVID-19 pandemic has become a huge threat to global public health. Using CT image, 3389 COVID-19 patients, 1593 community-acquired pneumonia (CAP) patients, and 1707 nonpneumonia subjects were included to explore the different patterns of lung and lung infection. We found that COVID-19 patients have a significant reduced lung volume with increased density and mass, and the infections tend to present as bilateral lower lobes. The findings provide imaging evidence to improve our understanding of COVID-19. The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2021-01 2020-11-03 /pmc/articles/PMC7607261/ /pubmed/33157298 http://dx.doi.org/10.1016/j.ijid.2020.10.095 Text en © 2020 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Short Communication
Shi, Feng
Wei, Ying
Xia, Liming
Shan, Fei
Mo, Zhanhao
Yan, Fuhua
Shen, Dinggang
Lung volume reduction and infection localization revealed in Big data CT imaging of COVID-19
title Lung volume reduction and infection localization revealed in Big data CT imaging of COVID-19
title_full Lung volume reduction and infection localization revealed in Big data CT imaging of COVID-19
title_fullStr Lung volume reduction and infection localization revealed in Big data CT imaging of COVID-19
title_full_unstemmed Lung volume reduction and infection localization revealed in Big data CT imaging of COVID-19
title_short Lung volume reduction and infection localization revealed in Big data CT imaging of COVID-19
title_sort lung volume reduction and infection localization revealed in big data ct imaging of covid-19
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7607261/
https://www.ncbi.nlm.nih.gov/pubmed/33157298
http://dx.doi.org/10.1016/j.ijid.2020.10.095
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