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Lung volume reduction and infection localization revealed in Big data CT imaging of COVID-19

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收录情况： ◇ SCIE

作者：

单位： [1]Shanghai United Imaging Intelligence, Dept Res & Dev, Shanghai, Peoples R China [2]Huazhong Univ Sci & Technol, Tongji Hosp, Dept Radiol, Wuhan, Peoples R China [3]Fudan Univ, Shanghai Publ Hlth Clin Ctr, Dept Radiol, Shanghai, Peoples R China [4]Jilin Univ, Dept Radiol, China Japan Union Hosp, Changchun, Peoples R China [5]Shanghai Jiao Tong Univ, Ruijin Hosp, Dept Radiol, Sch Med, Shanghai, Peoples R China [6]ShanghaiTech Univ, Sch Biomed Engn, Shanghai, Peoples R China [7]Korea Univ, Dept Artificial Intelligence, Seoul, South Korea

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关键词： COVID-19 Community-Acquired pneumonia Non-Pneumonia subjects Lung Big data

摘要：

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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中科院(CAS)分区：

出版当年[2020]版：

大类 | 3 区医学

小类 | 3 区传染病学

最新[2025]版：

大类 | 2 区医学

小类 | 2 区传染病学

JCR分区：

出版当年[2019]版：

Q2 INFECTIOUS DISEASES

最新[2023]版：

Q1 INFECTIOUS DISEASES

影响因子： 4.8 最新[2023版] 5 最新五年平均 3.202 出版当年[2019版] 3.315 出版当年五年平均 3.538 出版前一年[2018版] 3.623 出版后一年[2020版]

第一作者：

第一作者单位： [1]Shanghai United Imaging Intelligence, Dept Res & Dev, Shanghai, Peoples R China

通讯作者：

通讯机构： [1]Shanghai United Imaging Intelligence, Dept Res & Dev, Shanghai, Peoples R China [6]ShanghaiTech Univ, Sch Biomed Engn, Shanghai, Peoples R China [7]Korea Univ, Dept Artificial Intelligence, Seoul, South Korea

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