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Study on the dynamic change law and correlation between CT imaging manifestations and cellular immunity of 2019 novel coronavirus disease

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Purpose To explore the dynamic changes and correlation between CT imaging manifestations and cellular immunity of COVID-19. Materials and methods This retrospective review analyzed 23 patients with COVID-19, including 13… Click to show full abstract

Purpose To explore the dynamic changes and correlation between CT imaging manifestations and cellular immunity of COVID-19. Materials and methods This retrospective review analyzed 23 patients with COVID-19, including 13 males and 10 females aged 27–70 years, with an average age of 48 years. Patients were divided into two groups: group A with 11 critical-severe patients, and group B with 12 common-mild patients. Clinical, laboratory, and radiological data were collected and analyzed. Results LYM, LYM (%), CD3+, CD4+, and CD8+ decreased, while NEU (%), CRP, and CT scores increased in all patients, WBC in group A increased. In group A, on day 10–12 after disease onset, CT scores and CRP reached the highest point, and day 13–15 LYM, LYM (%) reached the lowest but NEU (%) and WBC reached the highest, CD3+, CD4+ and CD8+ were at the lowest on day 10–15. In group B, on day 7–9, CT scores, NEU (%) and CRP reached the peak, but LYM, LYM (%), CD3+, CD4+ and CD8+ reached the lowest. In all patients, CT scores had a significantly negative correlation with CD3+, CD4+, CD8+, LYM (%), and LYM ( p  = 0.001, r  = − 0.797; p  = 0.008, r  = − 0.698; p  = 0.002, r  = − 0.775; p  < 0.001, r  = − 0.785; p  = 0.021, r  = − 0.571, respectively), and a significantly positive correlation with WBC and NEU (%) ( p  < 0.001, r  = 0.785; p  = 0.003, r  = 0.691, respectively). Conclusion Dynamic changes of CT manifestations and cellular immunity of patients with COVID-19 were regular and correlation was high between these two parameters.

Keywords: manifestations cellular; correlation imaging; group; correlation; cellular immunity

Journal Title: Japanese Journal of Radiology
Year Published: 2020

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