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

机译:Covid-19的大数据CT成像显示肺粪积减少和感染定位

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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 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.
机译:正在进行的全球Covid-19大流行已成为全球公共卫生的巨大威胁。使用CT Image,3389 Covid-19患者,1593名患有肺炎(帽)患者,并包括1707名非植物受试者,探讨肺和肺感染的不同模式。我们发现Covid-19患者具有显着降低的肺部体积,具有增加的密度和质量,感染往往呈现为双侧下叶。调查结果提供了成像证据,以改善我们对Covid-19的理解。

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