Lung volume reduction and infection localization revealed in Big data CT imaging of COVID-19. (January 2021)

• Record Type: Journal Article
• Authors: Shi, Feng; Wei, Ying; Xia, Liming; Shan, Fei; Mo, Zhanhao; Yan, Fuhua; Shen, Dinggang
• Is Part Of: International journal of infectious diseases. Volume 102(2021)
• Page Start: 316
• Page End: 318
• Publication Date: 2021-01
• Subjects: COVID-19 -- Community-Acquired pneumonia -- Non-Pneumonia subjects -- Lung -- Big data; Communicable diseases -- Periodicals; Communicable Diseases -- Periodicals; Communicable diseases; Periodicals; Electronic journals; 616.9
• DOI: 10.1016/j.ijid.2020.10.095
• Languages: English
• ISSNs: 1201-9712

Abstract

Highlights: 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. 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.