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COVID-19 patients with progressive and non-progressive CT manifestations

OBJECTIVE: To explore the clinical and radiological characteristics of COVID-19 patients with progressive and non-progressive CT manifestations. METHODS: 160 patients with COVID-19 were retrospectively included from Wenzhou and Wuhan, China. CT features including lesion position, attenuation, form a...

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Autores principales: Tan, Yiqing, Wang, Xiaoyang, Yang, Wenjie, Cheng, Zenghui, Cao, Qiqi, Pan, Ashan, Dai, Jianyi, Sun, Qingfeng, Zhao, Fengquan, Yan, Fuhua, Qin, Le
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/PMC7362871/
https://www.ncbi.nlm.nih.gov/pubmed/32838005
http://dx.doi.org/10.1016/j.jrid.2020.07.001
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author Tan, Yiqing
Wang, Xiaoyang
Yang, Wenjie
Cheng, Zenghui
Cao, Qiqi
Pan, Ashan
Dai, Jianyi
Sun, Qingfeng
Zhao, Fengquan
Yan, Fuhua
Qin, Le
author_facet Tan, Yiqing
Wang, Xiaoyang
Yang, Wenjie
Cheng, Zenghui
Cao, Qiqi
Pan, Ashan
Dai, Jianyi
Sun, Qingfeng
Zhao, Fengquan
Yan, Fuhua
Qin, Le
author_sort Tan, Yiqing
collection PubMed
description OBJECTIVE: To explore the clinical and radiological characteristics of COVID-19 patients with progressive and non-progressive CT manifestations. METHODS: 160 patients with COVID-19 were retrospectively included from Wenzhou and Wuhan, China. CT features including lesion position, attenuation, form and total scores (0–4) at the segment level were evaluated. Other images signs were also assessed. 65 patients were classified as progressive (Group 1) and 95 as non-progressive CT (Group 2) groups according to score changes between the initial and second CT. RESULTS: Symptoms onset-initial CT interval time in group 1 [5 (2, 7) days] were significantly shorter than that in group 2 [10 (8, 14) days] (P < 0.001). Group 2 had higher radiological scores, with more lobes and segments affected, and other CT signs (P < 0.05). In group 1, radiological scores, the number of lobes and segments affected as well as lesions in both peripheral and central distribution, mixed ground grass opacity and consolidation density, and patchy form increased in the second CT (P < 0.05). More reticular pattern, subpleural linear opacity and bronchial dilatation were also found (P < 0.05). CONCLUSION: Typically radiological characteristics of progressive CT patients could potentially help to predict changes and increase understanding of the natural history of COVID-19.
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spelling pubmed-73628712020-07-16 COVID-19 patients with progressive and non-progressive CT manifestations Tan, Yiqing Wang, Xiaoyang Yang, Wenjie Cheng, Zenghui Cao, Qiqi Pan, Ashan Dai, Jianyi Sun, Qingfeng Zhao, Fengquan Yan, Fuhua Qin, Le Radiol Infect Dis Research Article OBJECTIVE: To explore the clinical and radiological characteristics of COVID-19 patients with progressive and non-progressive CT manifestations. METHODS: 160 patients with COVID-19 were retrospectively included from Wenzhou and Wuhan, China. CT features including lesion position, attenuation, form and total scores (0–4) at the segment level were evaluated. Other images signs were also assessed. 65 patients were classified as progressive (Group 1) and 95 as non-progressive CT (Group 2) groups according to score changes between the initial and second CT. RESULTS: Symptoms onset-initial CT interval time in group 1 [5 (2, 7) days] were significantly shorter than that in group 2 [10 (8, 14) days] (P < 0.001). Group 2 had higher radiological scores, with more lobes and segments affected, and other CT signs (P < 0.05). In group 1, radiological scores, the number of lobes and segments affected as well as lesions in both peripheral and central distribution, mixed ground grass opacity and consolidation density, and patchy form increased in the second CT (P < 0.05). More reticular pattern, subpleural linear opacity and bronchial dilatation were also found (P < 0.05). CONCLUSION: Typically radiological characteristics of progressive CT patients could potentially help to predict changes and increase understanding of the natural history of COVID-19. Beijing You'an Hospital affiliated to Capital Medical University. Production and hosting by Elsevier B.V. 2020-09 2020-07-15 /pmc/articles/PMC7362871/ /pubmed/32838005 http://dx.doi.org/10.1016/j.jrid.2020.07.001 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
Tan, Yiqing
Wang, Xiaoyang
Yang, Wenjie
Cheng, Zenghui
Cao, Qiqi
Pan, Ashan
Dai, Jianyi
Sun, Qingfeng
Zhao, Fengquan
Yan, Fuhua
Qin, Le
COVID-19 patients with progressive and non-progressive CT manifestations
title COVID-19 patients with progressive and non-progressive CT manifestations
title_full COVID-19 patients with progressive and non-progressive CT manifestations
title_fullStr COVID-19 patients with progressive and non-progressive CT manifestations
title_full_unstemmed COVID-19 patients with progressive and non-progressive CT manifestations
title_short COVID-19 patients with progressive and non-progressive CT manifestations
title_sort covid-19 patients with progressive and non-progressive ct manifestations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7362871/
https://www.ncbi.nlm.nih.gov/pubmed/32838005
http://dx.doi.org/10.1016/j.jrid.2020.07.001
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