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Volume 32 Issue 3
May  2023
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ZHANG M X, LI L, SUN Y, et al. Comparative Analysis of Clinical and Computed Tomography Imaging Features of COVID-19 with Different Disease Courses[J]. CT Theory and Applications, 2023, 32(3): 380-386. DOI: 10.15953/j.ctta.2023.021. (in Chinese).
Citation: ZHANG M X, LI L, SUN Y, et al. Comparative Analysis of Clinical and Computed Tomography Imaging Features of COVID-19 with Different Disease Courses[J]. CT Theory and Applications, 2023, 32(3): 380-386. DOI: 10.15953/j.ctta.2023.021. (in Chinese).
shu

Comparative Analysis of Clinical and Computed Tomography Imaging Features of COVID-19 with Different Disease Courses

  • 1.

    Beijing 100038, China Department of Radiology

  • 2.

    Beijing 100038, China Department of Infectious Diseases, Beijing Shijitan Hospital of Capital Medical University

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  • Received Date: February 13, 2023
  • Revised Date: March 07, 2023
  • Accepted Date: March 08, 2023
  • Available Online: April 22, 2023
  • Published Date: May 30, 2023
    Graphical Abstract
    • Abstract
  • Objective: To compare and analyze the clinical and chest computed tomography (CT) imaging features of COVID-19 patients with different disease courses. Methods: A retrospective analysis was performed for 161 cases with confirmed COVID-19 and positive chest CT lung infections from December 2022 to January 2023 at the fever clinic of Beijing Shijitan Hospital affiliated with Capital Medical University. The patients were divided into two groups based on the time of CT examination: <10 days and ≥10 days. We statistically analyzed the clinical manifestations and chest CT imaging characteristics of the two groups. Results: Of the 161 cases, 92 cases (57.1%) were in the <10-day group, and 69 cases (42.9%) were in the ≥10-day group. The clinical symptoms of the two groups showed that there was a statistical difference in the proportion of sore throat and myalgia between the two groups. Laboratory indicators showed that the C-reactive protein and lymphocyte count were significantly higher in the <10-day group. In terms of CT imaging features, the proportion of patients with perivascular, mixed distribution, large area, and air bronchogram was higher in the patients from the <10-day group, while the patients in the ≥10-day group had a significantly higher proportion of irregular boundaries, intralesional cord, reversed halo sign, pleural tail sign, subpleural line, and subpleural palisade. Conclusion: The clinical symptoms, laboratory indexes, and CT imaging features of COVID-19 pulmonary infection differed depending on the disease course, and exploring these differences can help clinicians diagnose and treat COVID-19 lung infections more effectively.
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    • References (18)
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