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Abnormal dynamic ventilation function of COVID-19 survivors detected by pulmonary free-breathing proton MRI
OBJECTIVES: To visualize and quantitatively assess regional lung function of survivors of COVID-19 who were hospitalized using pulmonary free-breathing (1)H MRI. METHODS: A total of 12 healthy volunteers and 27 COVID-19 survivors (62.4 ± 8.1 days between infection and image acquisition) were recruit...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8858033/ https://www.ncbi.nlm.nih.gov/pubmed/35184219 http://dx.doi.org/10.1007/s00330-022-08605-w |
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author | Wang, Cheng Li, Haidong Xiao, Sa Li, Zimeng Zhao, Xiuchao Xie, Junshuai Ye, Chaohui Xia, Liming Lou, Xin Zhou, Xin |
author_facet | Wang, Cheng Li, Haidong Xiao, Sa Li, Zimeng Zhao, Xiuchao Xie, Junshuai Ye, Chaohui Xia, Liming Lou, Xin Zhou, Xin |
author_sort | Wang, Cheng |
collection | PubMed |
description | OBJECTIVES: To visualize and quantitatively assess regional lung function of survivors of COVID-19 who were hospitalized using pulmonary free-breathing (1)H MRI. METHODS: A total of 12 healthy volunteers and 27 COVID-19 survivors (62.4 ± 8.1 days between infection and image acquisition) were recruited in this prospective study and performed chest (1)H MRI acquisitions with free tidal breathing. Then, conventional Fourier decomposition ventilation (FD-V) and global fractional ventilation (FV(Global)) were analyzed. Besides, a modified PREFUL (mPREFUL) method was developed to adapt to COVID-19 survivors and generate dynamic ventilation maps and parameters. All the ventilation maps and parameters were analyzed using Student’s t-test. Pearson’s correlation and a Bland-Altman plot between FV(Global) and mPREFUL were analyzed. RESULTS: There was no significant difference between COVID-19 and healthy groups regarding a static FD-V map (0.47 ± 0.12 vs 0.42 ± 0.08; p = .233). However, mPREFUL demonstrated lots of regional high ventilation areas (high ventilation percentage (HVP): 23.7% ± 10.6%) existed in survivors. This regional heterogeneity (i.e., HVP) in survivors was significantly higher than in healthy volunteers (p = .003). The survivors breathed deeper (flow-volume loop: 5375 ± 3978 vs 1688 ± 789; p = .005), and breathed more air in respiratory cycle (total amount: 62.6 ± 19.3 vs 37.3 ± 9.9; p < .001). Besides, mPREFUL showed both good Pearson’s correlation (r = 0.74; p < .001) and Bland-Altman consistency (mean bias = −0.01) with FV(Global). CONCLUSIONS: Dynamic ventilation imaging using pulmonary free-breathing (1)H MRI found regional abnormity of dynamic ventilation function in COVID-19 survivors. KEY POINTS: • Pulmonary free-breathing(1)H MRI was used to visualize and quantitatively assess regional lung ventilation function of COVID-19 survivors. • Dynamic ventilation maps generated from (1)H MRI were more sensitive to distinguish the COVID-19 and healthy groups (total air amount: 62.6 ± 19.3 vs 37.3 ± 9.9; p < .001), compared with static ventilation maps (FD-V value: 0.47 ± 0.12 vs 0.42 ± 0.08; p = .233). • COVID-19 survivors had larger regional heterogeneity (high ventilation percentage: 23.7% ± 10.6% vs 13.1% ± 7.9%; p = .003), and breathed deeper (flow-volume loop: 5375 ± 3978 vs 1688 ± 789; p = .005) than healthy volunteers. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-022-08605-w. |
format | Online Article Text |
id | pubmed-8858033 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-88580332022-02-22 Abnormal dynamic ventilation function of COVID-19 survivors detected by pulmonary free-breathing proton MRI Wang, Cheng Li, Haidong Xiao, Sa Li, Zimeng Zhao, Xiuchao Xie, Junshuai Ye, Chaohui Xia, Liming Lou, Xin Zhou, Xin Eur Radiol Chest OBJECTIVES: To visualize and quantitatively assess regional lung function of survivors of COVID-19 who were hospitalized using pulmonary free-breathing (1)H MRI. METHODS: A total of 12 healthy volunteers and 27 COVID-19 survivors (62.4 ± 8.1 days between infection and image acquisition) were recruited in this prospective study and performed chest (1)H MRI acquisitions with free tidal breathing. Then, conventional Fourier decomposition ventilation (FD-V) and global fractional ventilation (FV(Global)) were analyzed. Besides, a modified PREFUL (mPREFUL) method was developed to adapt to COVID-19 survivors and generate dynamic ventilation maps and parameters. All the ventilation maps and parameters were analyzed using Student’s t-test. Pearson’s correlation and a Bland-Altman plot between FV(Global) and mPREFUL were analyzed. RESULTS: There was no significant difference between COVID-19 and healthy groups regarding a static FD-V map (0.47 ± 0.12 vs 0.42 ± 0.08; p = .233). However, mPREFUL demonstrated lots of regional high ventilation areas (high ventilation percentage (HVP): 23.7% ± 10.6%) existed in survivors. This regional heterogeneity (i.e., HVP) in survivors was significantly higher than in healthy volunteers (p = .003). The survivors breathed deeper (flow-volume loop: 5375 ± 3978 vs 1688 ± 789; p = .005), and breathed more air in respiratory cycle (total amount: 62.6 ± 19.3 vs 37.3 ± 9.9; p < .001). Besides, mPREFUL showed both good Pearson’s correlation (r = 0.74; p < .001) and Bland-Altman consistency (mean bias = −0.01) with FV(Global). CONCLUSIONS: Dynamic ventilation imaging using pulmonary free-breathing (1)H MRI found regional abnormity of dynamic ventilation function in COVID-19 survivors. KEY POINTS: • Pulmonary free-breathing(1)H MRI was used to visualize and quantitatively assess regional lung ventilation function of COVID-19 survivors. • Dynamic ventilation maps generated from (1)H MRI were more sensitive to distinguish the COVID-19 and healthy groups (total air amount: 62.6 ± 19.3 vs 37.3 ± 9.9; p < .001), compared with static ventilation maps (FD-V value: 0.47 ± 0.12 vs 0.42 ± 0.08; p = .233). • COVID-19 survivors had larger regional heterogeneity (high ventilation percentage: 23.7% ± 10.6% vs 13.1% ± 7.9%; p = .003), and breathed deeper (flow-volume loop: 5375 ± 3978 vs 1688 ± 789; p = .005) than healthy volunteers. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-022-08605-w. Springer Berlin Heidelberg 2022-02-19 2022 /pmc/articles/PMC8858033/ /pubmed/35184219 http://dx.doi.org/10.1007/s00330-022-08605-w Text en © The Author(s), under exclusive licence to European Society of Radiology 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Chest Wang, Cheng Li, Haidong Xiao, Sa Li, Zimeng Zhao, Xiuchao Xie, Junshuai Ye, Chaohui Xia, Liming Lou, Xin Zhou, Xin Abnormal dynamic ventilation function of COVID-19 survivors detected by pulmonary free-breathing proton MRI |
title | Abnormal dynamic ventilation function of COVID-19 survivors detected by pulmonary free-breathing proton MRI |
title_full | Abnormal dynamic ventilation function of COVID-19 survivors detected by pulmonary free-breathing proton MRI |
title_fullStr | Abnormal dynamic ventilation function of COVID-19 survivors detected by pulmonary free-breathing proton MRI |
title_full_unstemmed | Abnormal dynamic ventilation function of COVID-19 survivors detected by pulmonary free-breathing proton MRI |
title_short | Abnormal dynamic ventilation function of COVID-19 survivors detected by pulmonary free-breathing proton MRI |
title_sort | abnormal dynamic ventilation function of covid-19 survivors detected by pulmonary free-breathing proton mri |
topic | Chest |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8858033/ https://www.ncbi.nlm.nih.gov/pubmed/35184219 http://dx.doi.org/10.1007/s00330-022-08605-w |
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