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High Resolution CT Imaging Dynamic Follow-Up Study of Novel Coronavirus Pneumonia
Objective: To explore the clinical characteristics and dynamic follow-up changes of high resolution CT (HRCT) in 270 patients with Coronavirus Disease 2019 (COVID-19) pneumonia. Methods: Two hundred seventy COVID-19 pneumonia patients were retrospectively analyzed, including 146 males and 124 female...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7212820/ https://www.ncbi.nlm.nih.gov/pubmed/32432121 http://dx.doi.org/10.3389/fmed.2020.00168 |
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author | Lu, Xuefang Gong, Wei Peng, Zhoufeng Zeng, Feifei Liu, Fang |
author_facet | Lu, Xuefang Gong, Wei Peng, Zhoufeng Zeng, Feifei Liu, Fang |
author_sort | Lu, Xuefang |
collection | PubMed |
description | Objective: To explore the clinical characteristics and dynamic follow-up changes of high resolution CT (HRCT) in 270 patients with Coronavirus Disease 2019 (COVID-19) pneumonia. Methods: Two hundred seventy COVID-19 pneumonia patients were retrospectively analyzed, including 146 males and 124 females, with median age of 51 (9,89). The clinical features, laboratory examination indexes and HRCT evolution findings of 270 COVID-19 pneumonia patients were analyzed. Results: 264 cases (95.74%) were positive at the first time nucleic acid test, 6 cases (2.22%) were negative, after multiple inspections, 270 cases (100%) were positive. According to the number of lung segments involved in the lesion, the lesions range from <30% of the lung area (Common type), 30–50% (Severe type), and> 50% (Critical type). At the first CT exam, 136 cases (50.37%) of the common type, 89 cases (32.96%) of the severe type and 45 cases (16.67%) of the critical type. At the second CT exam, 84 cases (31.11%) of the common type, 103 cases (38.15%) of the severe type and 83 cases (30.74%) of the critical type. In the third CT exam, there were 151 cases (55.93%) of the common type, 86 cases (31.85%) of the severe type and 33 cases (12.22%) of the critical type. The differences in image typing were statistically significant (P < 0.05). During this study, a total of 173 patients (64.08%) were recovered after treatment. Conclusion: In some epidemiological backgrounds, CT imaging manifestations and evolutionary characteristics are of great significance for early warning of lung injury, assessment of disease severity, and assistance in clinical typing and post-treatment follow-up. |
format | Online Article Text |
id | pubmed-7212820 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72128202020-05-19 High Resolution CT Imaging Dynamic Follow-Up Study of Novel Coronavirus Pneumonia Lu, Xuefang Gong, Wei Peng, Zhoufeng Zeng, Feifei Liu, Fang Front Med (Lausanne) Medicine Objective: To explore the clinical characteristics and dynamic follow-up changes of high resolution CT (HRCT) in 270 patients with Coronavirus Disease 2019 (COVID-19) pneumonia. Methods: Two hundred seventy COVID-19 pneumonia patients were retrospectively analyzed, including 146 males and 124 females, with median age of 51 (9,89). The clinical features, laboratory examination indexes and HRCT evolution findings of 270 COVID-19 pneumonia patients were analyzed. Results: 264 cases (95.74%) were positive at the first time nucleic acid test, 6 cases (2.22%) were negative, after multiple inspections, 270 cases (100%) were positive. According to the number of lung segments involved in the lesion, the lesions range from <30% of the lung area (Common type), 30–50% (Severe type), and> 50% (Critical type). At the first CT exam, 136 cases (50.37%) of the common type, 89 cases (32.96%) of the severe type and 45 cases (16.67%) of the critical type. At the second CT exam, 84 cases (31.11%) of the common type, 103 cases (38.15%) of the severe type and 83 cases (30.74%) of the critical type. In the third CT exam, there were 151 cases (55.93%) of the common type, 86 cases (31.85%) of the severe type and 33 cases (12.22%) of the critical type. The differences in image typing were statistically significant (P < 0.05). During this study, a total of 173 patients (64.08%) were recovered after treatment. Conclusion: In some epidemiological backgrounds, CT imaging manifestations and evolutionary characteristics are of great significance for early warning of lung injury, assessment of disease severity, and assistance in clinical typing and post-treatment follow-up. Frontiers Media S.A. 2020-05-04 /pmc/articles/PMC7212820/ /pubmed/32432121 http://dx.doi.org/10.3389/fmed.2020.00168 Text en Copyright © 2020 Lu, Gong, Peng, Zeng and Liu. http://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 | Medicine Lu, Xuefang Gong, Wei Peng, Zhoufeng Zeng, Feifei Liu, Fang High Resolution CT Imaging Dynamic Follow-Up Study of Novel Coronavirus Pneumonia |
title | High Resolution CT Imaging Dynamic Follow-Up Study of Novel Coronavirus Pneumonia |
title_full | High Resolution CT Imaging Dynamic Follow-Up Study of Novel Coronavirus Pneumonia |
title_fullStr | High Resolution CT Imaging Dynamic Follow-Up Study of Novel Coronavirus Pneumonia |
title_full_unstemmed | High Resolution CT Imaging Dynamic Follow-Up Study of Novel Coronavirus Pneumonia |
title_short | High Resolution CT Imaging Dynamic Follow-Up Study of Novel Coronavirus Pneumonia |
title_sort | high resolution ct imaging dynamic follow-up study of novel coronavirus pneumonia |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7212820/ https://www.ncbi.nlm.nih.gov/pubmed/32432121 http://dx.doi.org/10.3389/fmed.2020.00168 |
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