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CT findings and dynamic changes of COVID-19 |
LIN Yizi1, CHEN Li2, LI Yang1, LUO Min1, ZHENG Jun1, CEN Xiuya1, LI Yongchou1, DAI Tingting1, LIN Dou1, HE Di1, REN Huai1, GAO Yuantong1 |
1.Department of Radiology, the Third Affiliated Hospital of Wenzhou Medical University, Wenzhou 325200, China; 2.Department of Anesthesiology, the Third Affiliated Hospital of Wenzhou Medical University, Wenzhou 325200, China |
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Cite this article: |
LIN Yizi,CHEN Li,LI Yang, et al. CT findings and dynamic changes of COVID-19[J]. JOURNAL OF WEZHOU MEDICAL UNIVERSITY, 2020, 50(4): 264-267,271.
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Abstract Objective: To study the CT findings and dynamic imaging changes of COVID-19. Methods: A total of 60 patients with COVID-19 from the Third Affiliated Hospital of Wenzhou Medical University from January 26, 2020 to March 15, 2020 were included. All patients underwent sequential CT examinations with an interval of 2-10 days. The CT features in the initial, progressive and dissipating stage were analyzed. Results: In the initial stage, 21 cases had small ground-glass opacities accounting for 75.0% and, 7 cases nodules accounting for 25.0%. In progressive stage, ground-glass opacities accompanied by consolidations were found in 49 cases (81.7%), prominent consolidations in 11 cases (18.3%). Multiple lesions were found in 52 cases (86.7%), 44 cases (73.3%) were found lesions in the middle and lower lobes of both lungs, and 55 case (91.7%) were mainly located under pleura. In dissipation stage, the number of lesions decreased in 49 cases (81.7%), the range decreased in 60 cases (100%) and the density decreased in 60 cases (100%). Ground-glass change were observed again in 36 cases (60.0%) and 24 cases (40.0%) had strip solid change. After absorption, 9 cases (15.0%) had residual subpleural arc shadow and interlobular septal thickening. Conclusion: CT is able to distinctly demonstrate the distribution, density, shape, and range of pulmonary lesions of COVID-19, and display pulmonary fibrosis as well. Therefore, CT can be used to display the early abnormalities and dynamic changes of COVID-19.
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