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 recruited...
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Published in | European radiology Vol. 32; no. 8; pp. 5297 - 5307 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.08.2022
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1432-1084 0938-7994 1432-1084 |
DOI: | 10.1007/s00330-022-08605-w |