tetano
Editor, Senior Moderator
Acute Med Surg
. 2022 Dec 20;9(1):e811.
doi: 10.1002/ams2.811. eCollection 2022 Jan-Dec.
Utility of dual-energy computed tomography in the association of COVID-19 pneumonia severity
Takahiro Michishita[SUP] 1 2 [/SUP], Ryo Saji[SUP] 2 3 [/SUP], Hiroshi Miyazaki[SUP] 1 [/SUP], Sena Mishima[SUP] 1 2 [/SUP], Kosuke Shimada[SUP] 1 2 [/SUP], Sakura Minami[SUP] 1 2 [/SUP], Hiromu Okano[SUP] 1 [/SUP], Naoya Suzuki[SUP] 1 2 [/SUP], Tsuyoshi Otsuka[SUP] 1 2 [/SUP], Takeru Abe[SUP] 2 [/SUP], Ichiro Takeuchi[SUP] 2 [/SUP], Ryosuke Furuya[SUP] 1 2 [/SUP]
Affiliations
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.
Keywords: COVID‐19 pneumonia; COVID‐19 pneumonia severity; DECT; lung perfusion blood volume; plane CT.
. 2022 Dec 20;9(1):e811.
doi: 10.1002/ams2.811. eCollection 2022 Jan-Dec.
Utility of dual-energy computed tomography in the association of COVID-19 pneumonia severity
Takahiro Michishita[SUP] 1 2 [/SUP], Ryo Saji[SUP] 2 3 [/SUP], Hiroshi Miyazaki[SUP] 1 [/SUP], Sena Mishima[SUP] 1 2 [/SUP], Kosuke Shimada[SUP] 1 2 [/SUP], Sakura Minami[SUP] 1 2 [/SUP], Hiromu Okano[SUP] 1 [/SUP], Naoya Suzuki[SUP] 1 2 [/SUP], Tsuyoshi Otsuka[SUP] 1 2 [/SUP], Takeru Abe[SUP] 2 [/SUP], Ichiro Takeuchi[SUP] 2 [/SUP], Ryosuke Furuya[SUP] 1 2 [/SUP]
Affiliations
- PMID: 36570597
- PMCID: PMC9767859
- DOI: 10.1002/ams2.811
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.
Keywords: COVID‐19 pneumonia; COVID‐19 pneumonia severity; DECT; lung perfusion blood volume; plane CT.