Utility of dual-energy computed tomography in the association of COVID-19 pneumonia severity.
Acute Med Surg
; 9(1): e811, 2022.
Article
Dans Anglais
| MEDLINE | ID: covidwho-2172435
ABSTRACT
Aim:
Coronavirus disease 2019 pneumonia differs from ordinary pneumonia in that it is associated with lesions that reduce pulmonary perfusion. Dual-energy computed tomography is well suited to elucidate the etiology of coronavirus disease 2019 pneumonia, because it highlights changes in organ blood flow. In this study, we investigated whether dual-energy computed tomography could be used to determine the severity of coronavirus disease 2019 pneumonia.Methods:
Patients who were diagnosed with coronavirus disease 2019 pneumonia, admitted to our hospital, and underwent dual-energy computed tomography were included in this study. Dual-energy computed tomography findings, plane computed tomography findings, disease severity, laboratory data, and clinical features were compared between two groups a critical group (18 patients) and a non-critical group (30 patients).Results:
The dual-energy computed tomography results indicated that the percentage of flow loss was significantly higher in the critical group compared with the non-critical group (P < 0.001). Additionally, our data demonstrated that thrombotic risk was associated with differences in clinical characteristics (P = 0.018). Receiver operating characteristic analysis revealed that the percentage of flow loss, evaluated using dual-energy computed tomography, could predict severity in the critical group with 100% sensitivity and 77% specificity. However, there were no significant differences in the receiver operating characteristic values for dual-energy computed tomography and plane computed tomography.Conclusion:
Dual-energy computed tomography can be used to associate the severity of coronavirus disease 2019 pneumonia with high accuracy. Further studies are needed to draw definitive conclusions.
Texte intégral:
Disponible
Collection:
Bases de données internationales
Base de données:
MEDLINE
Type d'étude:
Étude d'étiologie
/
Études expérimentales
/
Étude pronostique
/
Essai contrôlé randomisé
langue:
Anglais
Revue:
Acute Med Surg
Année:
2022
Type de document:
Article
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