Long-term lung perfusion changes related to COVID-19: a dual energy computed tomography study
Diagn Interv Radiol
; 29(1): 103-108, 2023 01 31.
Article
in English
| MEDLINE | ID: covidwho-2238867
ABSTRACT
PURPOSE:
Although the findings of acute new coronavirus disease (COVID-19) infection on dual-energy computed tomography (DECT) have recently been defined, the long-term changes in lung perfusion associated with COVID-19 pneumonia have not yet been clarified. We aimed to examine the longterm course of lung perfusion in COVID-19 pneumonia cases using DECT and to compare changes in lung perfusion to clinical and laboratory findings.METHODS:
On initial and follow-up DECT scans, the presence and extent of perfusion deficit (PD) and parenchymal changes were assessed. The associations between PD presence and laboratory parameters, initial DECT severity score, and symptoms were evaluated.RESULTS:
The study population included 18 females and 26 males with an average age of 61.32 ± 11.3 years. Follow-up DECT examinations were performed after the mean of 83.12 ± 7.1 (80-94 days) days. PDs were detected on the follow-up DECT scans of 16 (36.3%) patients. These 16 patients also had ground-glass parenchymal lesions on the follow-up DECT scans. Patients with persistent lung PDs had significantly higher mean initial D-dimer, fibrinogen, and C-reactive protein values than patients without PDs. Patients with persistent PDs also had significantly higher rates of persistent symptoms.CONCLUSION:
Ground-glass opacities and lung PDs associated with COVID-19 pneumonia can persist for up to 80-90 days. Dual-energy computed tomography can be used to reveal long-term parenchymal and perfusion changes. Persistent PDs are commonly seen together with persistent COVID-19 symptoms.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Tomography, X-Ray Computed
/
COVID-19
Type of study:
Cohort study
/
Experimental Studies
/
Prognostic study
Topics:
Long Covid
Limits:
Aged
/
Female
/
Humans
/
Male
/
Middle aged
Language:
English
Journal:
Diagn Interv Radiol
Journal subject:
Diagnostic Imaging
/
Radiology
Year:
2023
Document Type:
Article
Affiliation country:
Dir.2022.211090
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