Dynamic evaluation of lung involvement during coronavirus disease-2019 (COVID-19) with quantitative lung CT.
Emerg Radiol
; 27(6): 671-678, 2020 Dec.
Article
in English
| MEDLINE | ID: covidwho-841818
ABSTRACT
PURPOSE:
To identify and quantify lung changes associated with coronavirus disease-2019 (COVID-19) with quantitative lung CT during the disease.METHODS:
This retrospective study reviewed COVID-19 patients who underwent multiple chest CT scans during their disease course. Quantitative lung CT was used to determine the nature and volume of lung involvement. A semi-quantitative scoring system was also used to evaluate lung lesions.RESULTS:
This study included eighteen cases (4 cases in mild type, 10 cases in moderate type, 4 cases in severe type, and without critical type cases) with confirmed COVID-19. Patients had a mean hospitalized period of 24.1 ± 7.1 days (range 14-38 days) and underwent an average CT scans of 3.9 ± 1.6 (range 2-8). The total volumes of lung abnormalities reached a peak of 8.8 ± 4.1 days (range 2-14 days). The ground-glass opacity (GGO) volume percentage was higher than the consolidative opacity (CO) volume percentage on the first CT examination (Z = 2.229, P = 0.026), and there was no significant difference between the GGO volume percentage and that of CO at the peak stage (Z = - 0.628, P = 0.53). The volume percentage of lung involvement identified by AI demonstrated a strong correlation with the total CT scores at each stage (r = 0.873, P = 0.0001).CONCLUSIONS:
Quantitative lung CT can automatically identify the nature of lung involvement and quantify the dynamic changes of lung lesions on CT during COVID-19. For patients who recovered from COVID-19, GGO was the predominant imaging feature on the initial CT scan, while GGO and CO were the main appearances at peak stage.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Pneumonia, Viral
/
Tomography, X-Ray Computed
/
Coronavirus Infections
Type of study:
Experimental Studies
/
Observational study
/
Prognostic study
Limits:
Adolescent
/
Adult
/
Aged
/
Child
/
Child, preschool
/
Female
/
Humans
/
Infant
/
Male
/
Middle aged
Language:
English
Journal:
Emerg Radiol
Year:
2020
Document Type:
Article
Affiliation country:
S10140-020-01856-4
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