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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.
  • Shi F; Department of Research and Development, Shanghai United Imaging Intelligence, Shanghai, China.
  • Wei Y; Department of Research and Development, Shanghai United Imaging Intelligence, Shanghai, China.
  • Xia L; Department of Radiology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China.
  • Shan F; Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, China.
  • Mo Z; Department of Radiology, China-Japan Union Hospital of Jilin University, Changchun, China.
  • Yan F; Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China.
  • Shen D; Department of Research and Development, Shanghai United Imaging Intelligence, Shanghai, China; School of Biomedical Engineering, ShanghaiTech University, Shanghai, China; Department of Artificial Intelligence, Korea University, Seoul, Republic of Korea. Electronic address: Dinggang.Shen@gmail.com.
Int J Infect Dis ; 102: 316-318, 2021 Jan.
Article in English | MEDLINE | ID: covidwho-1060468
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Lung Type of study: Diagnostic study / Observational study Limits: Female / Humans / Male / Middle aged Language: English Journal: Int J Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article Affiliation country: J.ijid.2020.10.095

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Lung Type of study: Diagnostic study / Observational study Limits: Female / Humans / Male / Middle aged Language: English Journal: Int J Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article Affiliation country: J.ijid.2020.10.095