A Comparison of CT Manifestations Between Coronavirus Disease 2019 (COVID-19) and Other Types of Viral Pneumonia.
Curr Med Imaging
; 17(11): 1316-1323, 2021.
Article
in English
| MEDLINE | ID: covidwho-1574962
ABSTRACT
BACKGROUND:
Though imaging manifestations of COVID-19 and other types of viral pneumonia are similar, their clinical treatment methods differ. Accurate, non-invasive diagnostic methods using CT imaging can help develop an optimal therapeutic regimen for both conditions.OBJECTIVE:
To compare the initial CT imaging features in COVID-19 with those in other types of viral pneumonia.METHODS:
Clinical and imaging data of 51 patients with COVID-19 and 69 with other types of viral pneumonia were retrospectively studied. All significant imaging features (Youden index >0.3) were included for constituting the combined criteria for COVID-19 diagnosis, composed of two or more imaging features with a parallel model. McNemar's chi-square test or Fisher's exact test was used to compare the validity indices (sensitivity and specificity) among various criteria.RESULTS:
Ground glass opacities (GGO) dominated density, peripheral distribution, unilateral lung, clear margin of lesion, rounded morphology, long axis parallel to the pleura, vascular thickening, and crazy-paving pattern were more common in COVID-19 (p <0.05). Consolidation-dominated density, both central and peripheral distributions, bilateral lung, indistinct margin of lesion, tree-inbud pattern, mediastinal or hilar lymphadenectasis, pleural effusion, and pleural thickening were more common in other types of viral pneumonia (p < 0.05). GGO-dominated density or long axis parallel to the pleura (with the highest sensitivity), and GGO-dominated density or long axis parallel to the pleura or vascular thickening (with the highest specificity) are well combined criteria of COVID-19.CONCLUSION:
The initial CT imaging features are helpful for the differential diagnosis of COVID-19 and other types of viral pneumonia.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
COVID-19
Type of study:
Diagnostic study
/
Observational study
/
Prognostic study
Limits:
Humans
Language:
English
Journal:
Curr Med Imaging
Year:
2021
Document Type:
Article
Affiliation country:
1573405617666210218092751
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