Lung volume reduction and infection localization revealed in Big data CT imaging of COVID-19
•Analysis of massive CT lung image among COVID-19, CAP, and nonpneumonia subjects.•Significantly reduced lung volume was found in COVID-19 patients.•Significantly increased lung mass and density were found in COVID-19 patients.•The infections of COVID-19 patients tend to present as bilateral lower l...
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Published in | International journal of infectious diseases Vol. 102; pp. 316 - 318 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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Elsevier Ltd
01.01.2021
The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases Elsevier |
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ISSN | 1201-9712 1878-3511 1878-3511 |
DOI | 10.1016/j.ijid.2020.10.095 |
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Abstract | •Analysis of massive CT lung image among COVID-19, CAP, and nonpneumonia subjects.•Significantly reduced lung volume was found in COVID-19 patients.•Significantly increased lung mass and density were found in COVID-19 patients.•The infections of COVID-19 patients tend to present as bilateral lower lobes.
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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AbstractList | 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 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 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. •Analysis of massive CT lung image among COVID-19, CAP, and nonpneumonia subjects.•Significantly reduced lung volume was found in COVID-19 patients.•Significantly increased lung mass and density were found in COVID-19 patients.•The infections of COVID-19 patients tend to present as bilateral lower lobes. 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. |
Author | Wei, Ying Shi, Feng Shan, Fei Xia, Liming Mo, Zhanhao Shen, Dinggang Yan, Fuhua |
Author_xml | – sequence: 1 givenname: Feng surname: Shi fullname: Shi, Feng organization: Department of Research and Development, Shanghai United Imaging Intelligence, Shanghai, China – sequence: 2 givenname: Ying surname: Wei fullname: Wei, Ying organization: Department of Research and Development, Shanghai United Imaging Intelligence, Shanghai, China – sequence: 3 givenname: Liming surname: Xia fullname: Xia, Liming organization: Department of Radiology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China – sequence: 4 givenname: Fei surname: Shan fullname: Shan, Fei organization: Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, China – sequence: 5 givenname: Zhanhao surname: Mo fullname: Mo, Zhanhao organization: Department of Radiology, China-Japan Union Hospital of Jilin University, Changchun, China – sequence: 6 givenname: Fuhua surname: Yan fullname: Yan, Fuhua organization: Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China – sequence: 7 givenname: Dinggang surname: Shen fullname: Shen, Dinggang email: Dinggang.Shen@gmail.com organization: Department of Research and Development, Shanghai United Imaging Intelligence, Shanghai, China |
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Keywords | COVID-19 Non-Pneumonia subjects Big data Lung Community-Acquired pneumonia |
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License | This is an open access article under the CC BY-NC-ND license. Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved. 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. |
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Snippet | •Analysis of massive CT lung image among COVID-19, CAP, and nonpneumonia subjects.•Significantly reduced lung volume was found in 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... |
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SubjectTerms | Big Data Community-Acquired Infections - diagnostic imaging Community-Acquired Infections - physiopathology Community-Acquired Infections - virology Community-Acquired pneumonia COVID-19 COVID-19 - diagnostic imaging COVID-19 - physiopathology COVID-19 - virology Female Humans Lung Lung - diagnostic imaging Lung - physiopathology Lung - virology Male Middle Aged Non-Pneumonia subjects Pandemics Respiratory Function Tests Retrospective Studies SARS-CoV-2 - physiology Short Communication Tomography, X-Ray Computed - methods |
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Title | Lung volume reduction and infection localization revealed in Big data CT imaging of COVID-19 |
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