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Initial CT features and dynamic evolution of early-stage patients with COVID-19

OBJECTIVE: To explore the initial CT features and dynamic evolution of early-stage patients with Coronavirus disease 2019 (COVID-19). METHODS: A total of 126 COVID-19 patients in the early stage were enrolled. The initial CT features and dynamic evolution characteristics of the progression and absor...

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Autores principales: Wang, Chuanbin, Shi, Bin, Wei, Chao, Ding, Huaming, Gu, Jinfeng, Dong, Jiangning
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/PMC7443333/
https://www.ncbi.nlm.nih.gov/pubmed/32864406
http://dx.doi.org/10.1016/j.jrid.2020.08.002
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author Wang, Chuanbin
Shi, Bin
Wei, Chao
Ding, Huaming
Gu, Jinfeng
Dong, Jiangning
author_facet Wang, Chuanbin
Shi, Bin
Wei, Chao
Ding, Huaming
Gu, Jinfeng
Dong, Jiangning
author_sort Wang, Chuanbin
collection PubMed
description OBJECTIVE: To explore the initial CT features and dynamic evolution of early-stage patients with Coronavirus disease 2019 (COVID-19). METHODS: A total of 126 COVID-19 patients in the early stage were enrolled. The initial CT features and dynamic evolution characteristics of the progression and absorption process from the stage of admission to discharge were retrospectively analyzed in this study. RESULTS: The main initial CT features were as follows: bilateral distribution (112/126, 88.9%), diffuse distribution (106/126, 84.1%), multiple lesions (117/126, 92.9%), nodular shapes (84/126, 66.7%), patchy shapes (98/126, 77.8%), pure ground-glass opacities (GGO) (95/126, 75.4%), “vascular thickening sign” (98/126, 77.8%), “air bronchogram sign” (70/126, 55.6%), “crazy paving pattern” (93/126, 73.8%), and “pleura parallel sign” (72/126, 57.1%). The main dynamic evolution characteristics were as follows: ① Imaging findings of the progression process: the main CT changes were increased GGOs with consolidation (118/126, 93.7%), an increased “crazy paving pattern” (104/126, 82.5%), an increased “vascular thickening sign” (105/126, 83.3%), and an increased “air bronchogram sign” (95/126, 75.4%); ② Imaging findings of the absorption process: the main CT changes were the obvious absorption of consolidation displayed as inhomogeneous partial GGOs with fibrosis shadows, the occurrence of a “fishing net on trees sign” (45/126, 35.7%), an increased “fibrosis sign” (40/126, 31.7%), an increased “subpleural line sign” (35/126, 27.8%), a decreased “crazy paving pattern” (19.8%), and a decreased “vascular thickening sign” (23.8%); and ③ In the stage of discharge, the main CT manifestations were further absorption of GGOs, consolidation and fibrosis shadows in the lung, and no appearance of new lesions, with only a small amount of shadow with fibrotic streaks and reticulations remaining in some cases (16/126, 12.7%). CONCLUSION: The initial CT features and dynamic evolution of early-stage patients with COVID-19 have certain characteristics and regularity; CT of the chest is critical for early detection, evaluation of disease severity and follow-up of patients.
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spelling pubmed-74433332020-08-24 Initial CT features and dynamic evolution of early-stage patients with COVID-19 Wang, Chuanbin Shi, Bin Wei, Chao Ding, Huaming Gu, Jinfeng Dong, Jiangning Radiol Infect Dis Research Article OBJECTIVE: To explore the initial CT features and dynamic evolution of early-stage patients with Coronavirus disease 2019 (COVID-19). METHODS: A total of 126 COVID-19 patients in the early stage were enrolled. The initial CT features and dynamic evolution characteristics of the progression and absorption process from the stage of admission to discharge were retrospectively analyzed in this study. RESULTS: The main initial CT features were as follows: bilateral distribution (112/126, 88.9%), diffuse distribution (106/126, 84.1%), multiple lesions (117/126, 92.9%), nodular shapes (84/126, 66.7%), patchy shapes (98/126, 77.8%), pure ground-glass opacities (GGO) (95/126, 75.4%), “vascular thickening sign” (98/126, 77.8%), “air bronchogram sign” (70/126, 55.6%), “crazy paving pattern” (93/126, 73.8%), and “pleura parallel sign” (72/126, 57.1%). The main dynamic evolution characteristics were as follows: ① Imaging findings of the progression process: the main CT changes were increased GGOs with consolidation (118/126, 93.7%), an increased “crazy paving pattern” (104/126, 82.5%), an increased “vascular thickening sign” (105/126, 83.3%), and an increased “air bronchogram sign” (95/126, 75.4%); ② Imaging findings of the absorption process: the main CT changes were the obvious absorption of consolidation displayed as inhomogeneous partial GGOs with fibrosis shadows, the occurrence of a “fishing net on trees sign” (45/126, 35.7%), an increased “fibrosis sign” (40/126, 31.7%), an increased “subpleural line sign” (35/126, 27.8%), a decreased “crazy paving pattern” (19.8%), and a decreased “vascular thickening sign” (23.8%); and ③ In the stage of discharge, the main CT manifestations were further absorption of GGOs, consolidation and fibrosis shadows in the lung, and no appearance of new lesions, with only a small amount of shadow with fibrotic streaks and reticulations remaining in some cases (16/126, 12.7%). CONCLUSION: The initial CT features and dynamic evolution of early-stage patients with COVID-19 have certain characteristics and regularity; CT of the chest is critical for early detection, evaluation of disease severity and follow-up of patients. Beijing You'an Hospital affiliated to Capital Medical University. Production and hosting by Elsevier B.V. 2020-12 2020-08-23 /pmc/articles/PMC7443333/ /pubmed/32864406 http://dx.doi.org/10.1016/j.jrid.2020.08.002 Text en © 2020 Beijing You'an Hospital affiliated to Capital Medical University. Production and hosting by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Research Article
Wang, Chuanbin
Shi, Bin
Wei, Chao
Ding, Huaming
Gu, Jinfeng
Dong, Jiangning
Initial CT features and dynamic evolution of early-stage patients with COVID-19
title Initial CT features and dynamic evolution of early-stage patients with COVID-19
title_full Initial CT features and dynamic evolution of early-stage patients with COVID-19
title_fullStr Initial CT features and dynamic evolution of early-stage patients with COVID-19
title_full_unstemmed Initial CT features and dynamic evolution of early-stage patients with COVID-19
title_short Initial CT features and dynamic evolution of early-stage patients with COVID-19
title_sort initial ct features and dynamic evolution of early-stage patients with covid-19
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7443333/
https://www.ncbi.nlm.nih.gov/pubmed/32864406
http://dx.doi.org/10.1016/j.jrid.2020.08.002
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