Author: Congliang Miao; Mengdi Jin; Li Miao; Xinying Yang; Peng Huang; Huanwen Xiong; Peijie Huang; Qi Zhao; Jiang Du; Jiang Hong
Title: Early chest computed tomography to diagnose COVID-19 from suspected patients: A multicenter retrospective study Document date: 2020_3_26
ID: g93dacvk_37
Snippet: The copyright holder for this preprint (which was not peer-reviewed) is . https://doi.org/10.1101/2020.03.24.20042432 doi: medRxiv preprint thickening presented more on patients of COVID-19 than other viral pneumonias in chest CT imaging. On distribution, peripheral, bilateral or lower lung distribution and multi-lobe involvement also presented more on COVID-19. This may help us identify COVID-19 patients with chest CT scan. Previous researches h.....
Document: The copyright holder for this preprint (which was not peer-reviewed) is . https://doi.org/10.1101/2020.03.24.20042432 doi: medRxiv preprint thickening presented more on patients of COVID-19 than other viral pneumonias in chest CT imaging. On distribution, peripheral, bilateral or lower lung distribution and multi-lobe involvement also presented more on COVID-19. This may help us identify COVID-19 patients with chest CT scan. Previous researches have merely described the dynamic changes in chest CT imaging of COVID-19 and presented the features in the diagnosis so far [8, 10, 13, 14, 21] . Some of them had focused on the sensitivity compared to RT-PCR with relatively small sample size, while they did not compare these features with other viral pneumonias and explain how differential diagnosis was made by chest CT [9, 11] . Our study includes all suspected cases, including the positive and the negative, which may more useful for early differential diagnosis.
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