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Different computed tomography patterns of Coronavirus Disease 2019 (COVID-19) between survivors and non-survivors
This study aimed to compare the chest computed tomography (CT) findings between survivors and non-survivors with Coronavirus Disease 2019 (COVID-19). Between 12 January 2020 and 20 February 2020, the records of 124 consecutive patients diagnosed with COVID-19 were retrospectively reviewed and divide...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7347874/ https://www.ncbi.nlm.nih.gov/pubmed/32647307 http://dx.doi.org/10.1038/s41598-020-68057-4 |
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author | Pan, Feng Zheng, Chuansheng Ye, Tianhe Li, Lingli Liu, Dehan Li, Lin Hesketh, Richard L. Yang, Lian |
author_facet | Pan, Feng Zheng, Chuansheng Ye, Tianhe Li, Lingli Liu, Dehan Li, Lin Hesketh, Richard L. Yang, Lian |
author_sort | Pan, Feng |
collection | PubMed |
description | This study aimed to compare the chest computed tomography (CT) findings between survivors and non-survivors with Coronavirus Disease 2019 (COVID-19). Between 12 January 2020 and 20 February 2020, the records of 124 consecutive patients diagnosed with COVID-19 were retrospectively reviewed and divided into survivor (83/124) and non-survivor (41/124) groups. Chest CT findings were qualitatively compared on admission and serial chest CT scans were semi-quantitively evaluated between two groups using curve estimations. On admission, significantly more bilateral (97.6% vs. 73.5%, p = 0.001) and diffuse lesions (39.0% vs. 8.4%, p < 0.001) with higher total CT score (median 10 vs. 4, p < 0.001) were observed in non-survivor group compared with survivor group. Besides, crazy-paving pattern was more predominant in non-survivor group than survivor group (39.0% vs. 12.0%, p < 0.001). From the prediction of curve estimation, in survivor group total CT score increased in the first 20 days reaching a peak of 6 points and then gradually decreased for more than other 40 days (R(2) = 0.545, p < 0.001). In non-survivor group, total CT score rapidly increased over 10 points in the first 10 days and gradually increased afterwards until ARDS occurred with following death events (R(2) = 0.711, p < 0.001). In conclusion, persistent progression with predominant crazy-paving pattern was the major manifestation of COVID-19 in non-survivors. Understanding this CT feature could help the clinical physician to predict the prognosis of the patients. |
format | Online Article Text |
id | pubmed-7347874 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73478742020-07-10 Different computed tomography patterns of Coronavirus Disease 2019 (COVID-19) between survivors and non-survivors Pan, Feng Zheng, Chuansheng Ye, Tianhe Li, Lingli Liu, Dehan Li, Lin Hesketh, Richard L. Yang, Lian Sci Rep Article This study aimed to compare the chest computed tomography (CT) findings between survivors and non-survivors with Coronavirus Disease 2019 (COVID-19). Between 12 January 2020 and 20 February 2020, the records of 124 consecutive patients diagnosed with COVID-19 were retrospectively reviewed and divided into survivor (83/124) and non-survivor (41/124) groups. Chest CT findings were qualitatively compared on admission and serial chest CT scans were semi-quantitively evaluated between two groups using curve estimations. On admission, significantly more bilateral (97.6% vs. 73.5%, p = 0.001) and diffuse lesions (39.0% vs. 8.4%, p < 0.001) with higher total CT score (median 10 vs. 4, p < 0.001) were observed in non-survivor group compared with survivor group. Besides, crazy-paving pattern was more predominant in non-survivor group than survivor group (39.0% vs. 12.0%, p < 0.001). From the prediction of curve estimation, in survivor group total CT score increased in the first 20 days reaching a peak of 6 points and then gradually decreased for more than other 40 days (R(2) = 0.545, p < 0.001). In non-survivor group, total CT score rapidly increased over 10 points in the first 10 days and gradually increased afterwards until ARDS occurred with following death events (R(2) = 0.711, p < 0.001). In conclusion, persistent progression with predominant crazy-paving pattern was the major manifestation of COVID-19 in non-survivors. Understanding this CT feature could help the clinical physician to predict the prognosis of the patients. Nature Publishing Group UK 2020-07-09 /pmc/articles/PMC7347874/ /pubmed/32647307 http://dx.doi.org/10.1038/s41598-020-68057-4 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Pan, Feng Zheng, Chuansheng Ye, Tianhe Li, Lingli Liu, Dehan Li, Lin Hesketh, Richard L. Yang, Lian Different computed tomography patterns of Coronavirus Disease 2019 (COVID-19) between survivors and non-survivors |
title | Different computed tomography patterns of Coronavirus Disease 2019 (COVID-19) between survivors and non-survivors |
title_full | Different computed tomography patterns of Coronavirus Disease 2019 (COVID-19) between survivors and non-survivors |
title_fullStr | Different computed tomography patterns of Coronavirus Disease 2019 (COVID-19) between survivors and non-survivors |
title_full_unstemmed | Different computed tomography patterns of Coronavirus Disease 2019 (COVID-19) between survivors and non-survivors |
title_short | Different computed tomography patterns of Coronavirus Disease 2019 (COVID-19) between survivors and non-survivors |
title_sort | different computed tomography patterns of coronavirus disease 2019 (covid-19) between survivors and non-survivors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7347874/ https://www.ncbi.nlm.nih.gov/pubmed/32647307 http://dx.doi.org/10.1038/s41598-020-68057-4 |
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