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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Frontiers Media S.A.
2021-05-01
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Series: | Frontiers in Molecular Biosciences |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fmolb.2021.648180/full |
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record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lihua Wang Yeerfan Jiaerken Qian Li Peiyu Huang Zhujing Shen Tongtong Zhao Hanpeng Zheng Wenbin Ji Yuantong Gao Junli Xia Jianmin Cheng Jianbing Ma Jun Liu Yongqiang Liu Miaoguang Su Guixiang Ruan Jiner Shu Dawei Ren Zhenhua Zhao Weigen Yao Yunjun Yang Minming Zhang |
spellingShingle |
Lihua Wang Yeerfan Jiaerken Qian Li Peiyu Huang Zhujing Shen Tongtong Zhao Hanpeng Zheng Wenbin Ji Yuantong Gao Junli Xia Jianmin Cheng Jianbing Ma Jun Liu Yongqiang Liu Miaoguang Su Guixiang Ruan Jiner Shu Dawei Ren Zhenhua Zhao Weigen Yao Yunjun Yang Minming Zhang An Illustrated Guide to the Imaging Evolution of COVID in Non-Epidemic Areas of Southeast China Frontiers in Molecular Biosciences COVID image CT evolution multicenter |
author_facet |
Lihua Wang Yeerfan Jiaerken Qian Li Peiyu Huang Zhujing Shen Tongtong Zhao Hanpeng Zheng Wenbin Ji Yuantong Gao Junli Xia Jianmin Cheng Jianbing Ma Jun Liu Yongqiang Liu Miaoguang Su Guixiang Ruan Jiner Shu Dawei Ren Zhenhua Zhao Weigen Yao Yunjun Yang Minming Zhang |
author_sort |
Lihua Wang |
title |
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_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_sort |
illustrated guide to the imaging evolution of covid in non-epidemic areas of southeast china |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Molecular Biosciences |
issn |
2296-889X |
publishDate |
2021-05-01 |
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. |
topic |
COVID image CT evolution multicenter |
url |
https://www.frontiersin.org/articles/10.3389/fmolb.2021.648180/full |
work_keys_str_mv |
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doaj-6c81a322ead74bb09b5a4cbfac5316782021-05-28T08:11:46ZengFrontiers Media S.A.Frontiers in Molecular Biosciences2296-889X2021-05-01810.3389/fmolb.2021.648180648180An Illustrated Guide to the Imaging Evolution of COVID in Non-Epidemic Areas of Southeast ChinaLihua Wang0Yeerfan Jiaerken1Qian Li2Peiyu Huang3Zhujing Shen4Tongtong Zhao5Hanpeng Zheng6Wenbin Ji7Yuantong Gao8Junli Xia9Jianmin Cheng10Jianbing Ma11Jun Liu12Yongqiang Liu13Miaoguang Su14Guixiang Ruan15Jiner Shu16Dawei Ren17Zhenhua Zhao18Weigen Yao19Yunjun Yang20Minming Zhang21Department of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, ChinaDepartment of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, ChinaDepartment of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, ChinaDepartment of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, ChinaDepartment of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, ChinaFuyang Second People’s Hospital, Fuyang, ChinaYueqing People's Hospital, Yueqing, ChinaZhejiang Taizhou Hospital, Taizhou, ChinaRadiology Department, Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, ChinaBozhou Bone Trauma Hospital Image Center, Bozhou, ChinaDepartment of Radiology, Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, ChinaFirst Hospital of Jiaxing, Jiaxing, ChinaSecond Xiangya Hospital, Central South University, Changsha, China0Quzhou Kecheng People’s Hospital, Quzhou, China1Pingyang County People’s Hospital, Wenzhou, China2Yuhang First People’s Hospital, Hangzhou, China3Jinhua Central Hospital, Jinhua, China4Ningbo First Hospital, Ningbo, China5Shaoxing People’s Hospital, Shaoxing, China6Yuyao People’s Hospital, Yuyao, China7Radiology Department, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, ChinaDepartment of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, ChinaPurpose: 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.https://www.frontiersin.org/articles/10.3389/fmolb.2021.648180/fullCOVIDimageCTevolutionmulticenter |