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1.
Acute Med Surg ; 9(1): e811, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36570597

RESUMO

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.

2.
Acute Med Surg ; 8(1): e691, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34567575

RESUMO

BACKGROUND: Inferior vena cava thrombosis is a rare blunt abdominal trauma complication often associated with severe liver injury. We present two cases of inferior vena cava thrombosis due to mild liver injuries. CASE PRESENTATION: Case 1 was a 25-year-old woman taking oral contraceptives for dysmenorrhea who was injured in a motorcycle accident. Contrast-enhanced computed tomography revealed hepatic contusion of the sixth segment. At 1 week after the accident, inferior vena cava thrombosis was detected. Case 2 was a 58-year-old man injured in a motorcycle accident. Contrast-enhanced computed tomography showed traumatic subarachnoid hemorrhage, right hemothorax, and liver injury with hepatic contusion of the sixth segment. At 1 week after the accident, inferior vena cava thrombosis was observed. CONCLUSION: Inferior vena cava thrombosis can occur following liver injury, regardless of damage severity. When there are thrombogenic factors and damage near the inferior vena cava, follow-up examinations should be carried out.

3.
Acute Med Surg ; 8(1): e677, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34188943

RESUMO

BACKGROUND: COVID-19 pneumonia has lesions with a decreased blood flow. Dual-energy computed tomography is suitable to elucidate the pathogenesis of COVID-19 pneumonia because it highlights the blood flow changes in organs. We report the dual-energy computed tomography findings of a successfully treated case of COVID-19 pneumonia. CASE PRESENTATION: An obese 49-year-old man with COVID-19 pneumonia was transferred from another hospital on day 11 after onset of illness. Although he was hypoxemic (PaO2/FiO2 = 100), tracheal intubation was not performed after anticipating difficulty in weaning from mechanical ventilation. Prone position therapy and nasal high flow therapy were administered, and the patient was discharged after his condition improved. Dual-energy computed tomography was performed three times during hospitalization, and it revealed improvement in the blood flow defect, unlike plain computed tomography that did not show much improvement. CONCLUSION: Dual-energy computed tomography can assess perfusion in COVID-19 pneumonia in real time and may be able to predict its severity.

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