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 inInternational journal of infectious diseases Vol. 102; pp. 316 - 318
Main Authors Shi, Feng, Wei, Ying, Xia, Liming, Shan, Fei, Mo, Zhanhao, Yan, Fuhua, Shen, Dinggang
Format Journal Article
LanguageEnglish
Published Canada Elsevier Ltd 01.01.2021
The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases
Elsevier
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ISSN1201-9712
1878-3511
1878-3511
DOI10.1016/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.
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
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10.1007/s11604-020-00956-y
10.1016/S1473-3099(20)30086-4
10.1016/S0140-6736(20)30183-5
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Keywords COVID-19
Non-Pneumonia subjects
Big data
Lung
Community-Acquired pneumonia
Language English
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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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