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An Illustrated Guide to the Imaging Evolution of COVID in Non-Epidemic Areas of Southeast China

Purpose: By analyzing the CT manifestations and evolution of COVID in non-epidemic areas of southeast China, analyzing the developmental abnormalities and accompanying signs in the early and late stages of the disease, providing imaging evidence for clinical diagnosis and identification, and assisti...

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Autores principales: Wang, Lihua, Jiaerken, Yeerfan, Li, Qian, Huang, Peiyu, Shen, Zhujing, Zhao, Tongtong, Zheng, Hanpeng, Ji, Wenbin, Gao, Yuantong, Xia, Junli, Cheng, Jianmin, Ma, Jianbing, Liu, Jun, Liu, Yongqiang, Su, Miaoguang, Ruan, Guixiang, Shu, Jiner, Ren, Dawei, Zhao, Zhenhua, Yao, Weigen, Yang, Yunjun, Zhang, Minming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8195620/
https://www.ncbi.nlm.nih.gov/pubmed/34124146
http://dx.doi.org/10.3389/fmolb.2021.648180
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author Wang, Lihua
Jiaerken, Yeerfan
Li, Qian
Huang, Peiyu
Shen, Zhujing
Zhao, Tongtong
Zheng, Hanpeng
Ji, Wenbin
Gao, Yuantong
Xia, Junli
Cheng, Jianmin
Ma, Jianbing
Liu, Jun
Liu, Yongqiang
Su, Miaoguang
Ruan, Guixiang
Shu, Jiner
Ren, Dawei
Zhao, Zhenhua
Yao, Weigen
Yang, Yunjun
Zhang, Minming
author_facet Wang, Lihua
Jiaerken, Yeerfan
Li, Qian
Huang, Peiyu
Shen, Zhujing
Zhao, Tongtong
Zheng, Hanpeng
Ji, Wenbin
Gao, Yuantong
Xia, Junli
Cheng, Jianmin
Ma, Jianbing
Liu, Jun
Liu, Yongqiang
Su, Miaoguang
Ruan, Guixiang
Shu, Jiner
Ren, Dawei
Zhao, Zhenhua
Yao, Weigen
Yang, Yunjun
Zhang, Minming
author_sort Wang, Lihua
collection PubMed
description Purpose: By analyzing the CT manifestations and evolution of COVID in non-epidemic areas of southeast China, analyzing the developmental abnormalities and accompanying signs in the early and late stages of the disease, providing imaging evidence for clinical diagnosis and identification, and assisting in judging disease progression and monitoring prognosis. Methods: This retrospective and multicenter study included 1,648 chest CT examinations from 693 patients with laboratory-confirmed COVID-19 infection from 16 hospitals of southeast China between January 19 and March 27, 2020. Six trained radiologists analyzed and recorded the distribution and location of the lesions in the CT images of these patients. The accompanying signs include crazy-paving sign, bronchial wall thickening, microvascular thickening, bronchogram sign, fibrous lesions, halo and reverse-halo signs, nodules, atelectasis, and pleural effusion, and at the same time, they analyze the evolution of the abovementioned manifestations over time. Result: There were 1,500 positive findings in 1,648 CT examinations of 693 patients; the average age of the patients was 46 years, including 13 children; the proportion of women was 49%. Early CT manifestations are single or multiple nodular, patchy, or flaky ground-glass–like density shadows. The frequency of occurrence of ground-glass shadows (47.27%), fibrous lesions (42.60%), and microvascular thickening (40.60%) was significantly higher than that of other signs. Ground-glass shadows increase and expand 3–7 days after the onset of symptoms. The distribution and location of lesions were not significantly related to the appearance time. Ground-glass shadow is the most common lesion, with an average absorption time of 6.2 days, followed by consolidation, with an absorption time of about 6.3 days. It takes about 8 days for pure ground-glass lesions to absorb. Consolidation change into ground glass or pure ground glass takes 10–14 days. For ground-glass opacity to evolve into pure ground-glass lesions, it takes an average of 17 days. For ground-glass lesions to evolve into consolidation, it takes 7 days, pure ground-glass lesions need 8 days to evolve into ground-glass lesions. The average time for CT signs to improve is 10–15 days, and the first to improve is the crazy-paving sign and nodules; while the progression of the disease is 6–12 days, the earliest signs of progression are air bronchogram signs, bronchial wall thickening, and bronchiectasis. There is no severe patient in this study. Conclusion: This study depicts the CT manifestation and evolution of COVID in non-epidemic origin areas, and provides valuable first-hand information for clinical diagnosis and judgment of patient’s disease evolution and prediction.
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spelling pubmed-81956202021-06-12 An Illustrated Guide to the Imaging Evolution of COVID in Non-Epidemic Areas of Southeast China Wang, Lihua Jiaerken, Yeerfan Li, Qian Huang, Peiyu Shen, Zhujing Zhao, Tongtong Zheng, Hanpeng Ji, Wenbin Gao, Yuantong Xia, Junli Cheng, Jianmin Ma, Jianbing Liu, Jun Liu, Yongqiang Su, Miaoguang Ruan, Guixiang Shu, Jiner Ren, Dawei Zhao, Zhenhua Yao, Weigen Yang, Yunjun Zhang, Minming Front Mol Biosci Molecular Biosciences Purpose: By analyzing the CT manifestations and evolution of COVID in non-epidemic areas of southeast China, analyzing the developmental abnormalities and accompanying signs in the early and late stages of the disease, providing imaging evidence for clinical diagnosis and identification, and assisting in judging disease progression and monitoring prognosis. Methods: This retrospective and multicenter study included 1,648 chest CT examinations from 693 patients with laboratory-confirmed COVID-19 infection from 16 hospitals of southeast China between January 19 and March 27, 2020. Six trained radiologists analyzed and recorded the distribution and location of the lesions in the CT images of these patients. The accompanying signs include crazy-paving sign, bronchial wall thickening, microvascular thickening, bronchogram sign, fibrous lesions, halo and reverse-halo signs, nodules, atelectasis, and pleural effusion, and at the same time, they analyze the evolution of the abovementioned manifestations over time. Result: There were 1,500 positive findings in 1,648 CT examinations of 693 patients; the average age of the patients was 46 years, including 13 children; the proportion of women was 49%. Early CT manifestations are single or multiple nodular, patchy, or flaky ground-glass–like density shadows. The frequency of occurrence of ground-glass shadows (47.27%), fibrous lesions (42.60%), and microvascular thickening (40.60%) was significantly higher than that of other signs. Ground-glass shadows increase and expand 3–7 days after the onset of symptoms. The distribution and location of lesions were not significantly related to the appearance time. Ground-glass shadow is the most common lesion, with an average absorption time of 6.2 days, followed by consolidation, with an absorption time of about 6.3 days. It takes about 8 days for pure ground-glass lesions to absorb. Consolidation change into ground glass or pure ground glass takes 10–14 days. For ground-glass opacity to evolve into pure ground-glass lesions, it takes an average of 17 days. For ground-glass lesions to evolve into consolidation, it takes 7 days, pure ground-glass lesions need 8 days to evolve into ground-glass lesions. The average time for CT signs to improve is 10–15 days, and the first to improve is the crazy-paving sign and nodules; while the progression of the disease is 6–12 days, the earliest signs of progression are air bronchogram signs, bronchial wall thickening, and bronchiectasis. There is no severe patient in this study. Conclusion: This study depicts the CT manifestation and evolution of COVID in non-epidemic origin areas, and provides valuable first-hand information for clinical diagnosis and judgment of patient’s disease evolution and prediction. Frontiers Media S.A. 2021-05-28 /pmc/articles/PMC8195620/ /pubmed/34124146 http://dx.doi.org/10.3389/fmolb.2021.648180 Text en Copyright © 2021 Wang, Jiaerken, Li, Huang, Shen, Zhao, Zheng, Ji, Gao, Xia, Cheng, Ma, Liu, Liu, Su, Ruan, Shu, Ren, Zhao, Yao, Yang and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Molecular Biosciences
Wang, Lihua
Jiaerken, Yeerfan
Li, Qian
Huang, Peiyu
Shen, Zhujing
Zhao, Tongtong
Zheng, Hanpeng
Ji, Wenbin
Gao, Yuantong
Xia, Junli
Cheng, Jianmin
Ma, Jianbing
Liu, Jun
Liu, Yongqiang
Su, Miaoguang
Ruan, Guixiang
Shu, Jiner
Ren, Dawei
Zhao, Zhenhua
Yao, Weigen
Yang, Yunjun
Zhang, Minming
An Illustrated Guide to the Imaging Evolution of COVID in Non-Epidemic Areas of Southeast China
title An Illustrated Guide to the Imaging Evolution of COVID in Non-Epidemic Areas of Southeast China
title_full An Illustrated Guide to the Imaging Evolution of COVID in Non-Epidemic Areas of Southeast China
title_fullStr An Illustrated Guide to the Imaging Evolution of COVID in Non-Epidemic Areas of Southeast China
title_full_unstemmed An Illustrated Guide to the Imaging Evolution of COVID in Non-Epidemic Areas of Southeast China
title_short An Illustrated Guide to the Imaging Evolution of COVID in Non-Epidemic Areas of Southeast China
title_sort illustrated guide to the imaging evolution of covid in non-epidemic areas of southeast china
topic Molecular Biosciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8195620/
https://www.ncbi.nlm.nih.gov/pubmed/34124146
http://dx.doi.org/10.3389/fmolb.2021.648180
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