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Association between emphysema and other pulmonary computed tomography patterns in COVID‐19 pneumonia

To evaluate the chest computed tomography (CT) findings of patients with Corona Virus Disease 2019 (COVID‐19) on admission to hospital. And then correlate CT pulmonary infiltrates involvement with the findings of emphysema. We analyzed the different infiltrates of COVID‐19 pneumonia using emphysema...

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Autores principales: Han, Ke, Wang, Jing, Zou, Yulin, Zhang, Yuxin, Zhou, Lin, Yin, Yiping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9828029/
https://www.ncbi.nlm.nih.gov/pubmed/36358023
http://dx.doi.org/10.1002/jmv.28293
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author Han, Ke
Wang, Jing
Zou, Yulin
Zhang, Yuxin
Zhou, Lin
Yin, Yiping
author_facet Han, Ke
Wang, Jing
Zou, Yulin
Zhang, Yuxin
Zhou, Lin
Yin, Yiping
author_sort Han, Ke
collection PubMed
description To evaluate the chest computed tomography (CT) findings of patients with Corona Virus Disease 2019 (COVID‐19) on admission to hospital. And then correlate CT pulmonary infiltrates involvement with the findings of emphysema. We analyzed the different infiltrates of COVID‐19 pneumonia using emphysema as the grade of pneumonia. We applied open‐source assisted software (3D Slicer) to model the lungs and lesions of 66 patients with COVID‐19, which were retrospectively included. we divided the 66 COVID‐19 patients into the following two groups: (A) 12 patients with less than 10% emphysema in the low‐attenuation area less than −950 Hounsfield units (%LAA‐950), (B) 54 patients with greater than or equal to 10% emphysema in %LAA‐950. Imaging findings were assessed retrospectively by two authors and then pulmonary infiltrates and emphysema volumes were measured on CT using 3D Slicer software. Differences between pulmonary infiltrates, emphysema, Collapsed, affected of patients with CT findings were assessed by Kruskal–Wallis and Wilcoxon test, respectively. Statistical significance was set at p < 0.05. The left lung (A) affected left lung 20.00/affected right lung 18.50, (B) affected left lung 13.00/affected right lung 11.50 was most frequently involved region in COVID‐19. In addition, collapsed left lung, (A) collapsed left lung 4.95/collapsed right lung 4.65, (B) collapsed left lung 3.65/collapsed right lung 3.15 was also more severe than the right one. There were significant differences between the Group A and Group B in terms of the percentage of CT involvement in each lung region (p < 0.05), except for the inflated affected total lung (p = 0.152). The median percentage of collapsed left lung in the Group A was 20.00 (14.00–30.00), right lung was 18.50 (13.00–30.25) and the total was 19.00 (13.00–30.00), while the median percentage of collapsed left lung in the Group B was 13.00 (10.00–14.75), right lung was 11.50 (10.00–15.00) and the total was 12.50 (10.00–15.00). The percentage of affected left lung is an independent predictor of emphysema in COVID‐19 patients. We need to focus on the left lung of the patient as it is more affected. The people with lower levels of emphysema may have more collapsed segments. The more collapsed segments may lead to more serious clinical feature.
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spelling pubmed-98280292023-01-10 Association between emphysema and other pulmonary computed tomography patterns in COVID‐19 pneumonia Han, Ke Wang, Jing Zou, Yulin Zhang, Yuxin Zhou, Lin Yin, Yiping J Med Virol Research Articles To evaluate the chest computed tomography (CT) findings of patients with Corona Virus Disease 2019 (COVID‐19) on admission to hospital. And then correlate CT pulmonary infiltrates involvement with the findings of emphysema. We analyzed the different infiltrates of COVID‐19 pneumonia using emphysema as the grade of pneumonia. We applied open‐source assisted software (3D Slicer) to model the lungs and lesions of 66 patients with COVID‐19, which were retrospectively included. we divided the 66 COVID‐19 patients into the following two groups: (A) 12 patients with less than 10% emphysema in the low‐attenuation area less than −950 Hounsfield units (%LAA‐950), (B) 54 patients with greater than or equal to 10% emphysema in %LAA‐950. Imaging findings were assessed retrospectively by two authors and then pulmonary infiltrates and emphysema volumes were measured on CT using 3D Slicer software. Differences between pulmonary infiltrates, emphysema, Collapsed, affected of patients with CT findings were assessed by Kruskal–Wallis and Wilcoxon test, respectively. Statistical significance was set at p < 0.05. The left lung (A) affected left lung 20.00/affected right lung 18.50, (B) affected left lung 13.00/affected right lung 11.50 was most frequently involved region in COVID‐19. In addition, collapsed left lung, (A) collapsed left lung 4.95/collapsed right lung 4.65, (B) collapsed left lung 3.65/collapsed right lung 3.15 was also more severe than the right one. There were significant differences between the Group A and Group B in terms of the percentage of CT involvement in each lung region (p < 0.05), except for the inflated affected total lung (p = 0.152). The median percentage of collapsed left lung in the Group A was 20.00 (14.00–30.00), right lung was 18.50 (13.00–30.25) and the total was 19.00 (13.00–30.00), while the median percentage of collapsed left lung in the Group B was 13.00 (10.00–14.75), right lung was 11.50 (10.00–15.00) and the total was 12.50 (10.00–15.00). The percentage of affected left lung is an independent predictor of emphysema in COVID‐19 patients. We need to focus on the left lung of the patient as it is more affected. The people with lower levels of emphysema may have more collapsed segments. The more collapsed segments may lead to more serious clinical feature. John Wiley and Sons Inc. 2022-11-17 2023-01 /pmc/articles/PMC9828029/ /pubmed/36358023 http://dx.doi.org/10.1002/jmv.28293 Text en © 2022 The Authors. Journal of Medical Virology published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Han, Ke
Wang, Jing
Zou, Yulin
Zhang, Yuxin
Zhou, Lin
Yin, Yiping
Association between emphysema and other pulmonary computed tomography patterns in COVID‐19 pneumonia
title Association between emphysema and other pulmonary computed tomography patterns in COVID‐19 pneumonia
title_full Association between emphysema and other pulmonary computed tomography patterns in COVID‐19 pneumonia
title_fullStr Association between emphysema and other pulmonary computed tomography patterns in COVID‐19 pneumonia
title_full_unstemmed Association between emphysema and other pulmonary computed tomography patterns in COVID‐19 pneumonia
title_short Association between emphysema and other pulmonary computed tomography patterns in COVID‐19 pneumonia
title_sort association between emphysema and other pulmonary computed tomography patterns in covid‐19 pneumonia
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9828029/
https://www.ncbi.nlm.nih.gov/pubmed/36358023
http://dx.doi.org/10.1002/jmv.28293
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