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Lung volume reduction and infection localization revealed in Big data CT imaging of COVID-19
- Authors
- Shi, Feng; Wei, Ying; Xia, Liming; Shan, Fei; Mo, Zhanhao; Yan, Fuhua; Shen, Dinggang
- Issue Date
- 1월-2021
- Publisher
- ELSEVIER SCI LTD
- Keywords
- COVID-19; Community-Acquired pneumonia; Non-Pneumonia subjects; Lung; Big data
- Citation
- INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, v.102, pp.316 - 318
- Indexed
- SCIE
SCOPUS
- Journal Title
- INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES
- Volume
- 102
- Start Page
- 316
- End Page
- 318
- ISSN
- 1201-9712
- Abstract
- 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. (C) 2020 The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
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