新型冠状病毒肺炎一例的双能计算机断层扫描结果

DUAL-energy computed tomography findings in a case of COVID-19.

作者信息

Okano Hiromu, Furuya Ryosuke, Mishima Sena, Shimada Kosuke, Umeda Sayo, Michishita Takahiro, Minami Sakura, Suzuki Naoya, Hayakawa Sho, Otsuka Tsuyoshi, Miyazaki Hiroshi

机构信息

Department of Emergency and Critical Care Medicine National Hospital Organization Yokohama Medical Center Yokohama-shi, Kanagawa Japan.

出版信息

Acute Med Surg. 2021 Jun 23;8(1):e677. doi: 10.1002/ams2.677. eCollection 2021 Jan-Dec.

DOI:10.1002/ams2.677

PMID:34188943

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8221247/

Abstract

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 (PaO/FiO = 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.

摘要

背景

新型冠状病毒肺炎（COVID-19肺炎）的病变部位血流减少。双能计算机断层扫描适用于阐明COVID-19肺炎的发病机制，因为它能突出显示器官内的血流变化。我们报告了一例成功治愈的COVID-19肺炎病例的双能计算机断层扫描结果。

病例介绍

一名患有COVID-19肺炎的49岁肥胖男性在发病11天后从另一家医院转入。尽管他存在低氧血症（动脉血氧分压/吸入氧浓度比值为100），但预计脱机困难后未进行气管插管。给予俯卧位治疗和经鼻高流量治疗，患者病情好转后出院。住院期间进行了三次双能计算机断层扫描，结果显示血流缺陷有所改善，而普通计算机断层扫描未显示出明显改善。