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Low-dose chest CT presentation and dynamic changes in patients with novel coronavirus disease 2019

OBJECTIVE: To investigate the low-dose chest computed tomography (CT) presentation and dynamic changes in patients with novel coronavirus disease 2019 (COVID-19) to improve understanding of this highly infectious disease. METHODS: The clinical and CT data of 16 patients with COVID-19 were retrospect...

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Detalles Bibliográficos
Autores principales: Zhao, Yue, Wang, Yue, Duan, Wenshuai, Du, Wei, Wu, Xinhua, Yang, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Beijing You'an Hospital affiliated to Capital Medical University. Production and hosting by Elsevier B.V. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7832644/
https://www.ncbi.nlm.nih.gov/pubmed/33521221
http://dx.doi.org/10.1016/j.jrid.2020.08.001
Descripción
Sumario:OBJECTIVE: To investigate the low-dose chest computed tomography (CT) presentation and dynamic changes in patients with novel coronavirus disease 2019 (COVID-19) to improve understanding of this highly infectious disease. METHODS: The clinical and CT data of 16 patients with COVID-19 were retrospectively analyzed. Dynamic CTs were performed continuously after admission. RESULTS: Of the patients, 14 were moderate cases, and 2 were severe. Twelve patients underwent CT at the early onset stage. Single nodules or ground-glass opacities (GGOs) were found in 2 patients and multiple bilateral pulmonary lesions in 8 (consolidation-like opacities with or without small nodules in five and large GGOs with interlobular septal thickening in three). Ten had lesion growth and enlargement on the second CT. Fourteen patients underwent CT during the progressive stage, which revealed GGOs and focal consolidation in 6 of them, lung consolidation opacities in 5, and simple, large GGOs with interlobular septal thickening in 3. In both severe cases, the lesions continued to enlarge and grow, and the extent of consolidation continued to expand. CONCLUSION: Low-dose chest CT can clearly reflect the morphology, density, and extent of COVID-19 nodules, and is beneficial for observing dynamic nodule changes and disease screening and monitoring.