Suppr超能文献

因 2019 冠状病毒病导致急性呼吸衰竭患者的胸部影像学表现

Chest imaging in patients with acute respiratory failure because of coronavirus disease 2019.

机构信息

Postgraduation School in Radiodiagnostics, Università degli Studi di Milano.

Operative Unit of Radiology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.

出版信息

Curr Opin Crit Care. 2022 Feb 1;28(1):17-24. doi: 10.1097/MCC.0000000000000906.

Abstract

PURPOSE OF REVIEW

This review aims to explore the different imaging modalities, such as chest radiography (CXR), computed tomography (CT), ultrasound, PET/CT scan, and MRI to describe the main features for the evaluation of the chest in COVID-19 patients with ARDS.

RECENT FINDINGS

This article includes a systematic literature search, evidencing the different chest imaging modalities used in patients with ARDS from COVID-19. Literature evidences different possible approaches going from the conventional CXR and CT to the LUS, MRI, and PET/CT.

SUMMARY

CT is the technique with higher sensitivity and definition for studying chest in COVID-19 patients. LUS or bedside CXR are critical in patients requiring close and repeated monitoring. Moreover, LUS and CXR reduce the radiation burden and the risk of infection compared with CT. PET/CT and MRI, especially in ARDS patients, are not usually used for diagnostic or follow-up purposes.

摘要

目的综述

本文旨在探讨不同的影像学模式,如胸部 X 线摄影(CXR)、计算机断层扫描(CT)、超声、PET/CT 扫描和 MRI,以描述用于评估 COVID-19 合并急性呼吸窘迫综合征(ARDS)患者胸部的主要特征。

最近的发现

本文包括一项系统文献检索,证明了在 COVID-19 合并 ARDS 患者中使用的不同胸部影像学模式。文献证据表明,从常规 CXR 和 CT 到 LUS、MRI 和 PET/CT,可能有不同的方法。

总结

CT 是研究 COVID-19 患者胸部的一种具有较高灵敏度和清晰度的技术。在需要密切和重复监测的患者中,LUS 或床边 CXR 至关重要。此外,与 CT 相比,LUS 和 CXR 降低了辐射负担和感染风险。在 ARDS 患者中,PET/CT 和 MRI 通常不用于诊断或随访目的。

相似文献

2
Lung Ultrasound May Support Diagnosis and Monitoring of COVID-19 Pneumonia.肺部超声检查可能有助于 COVID-19 肺炎的诊断和监测。
Ultrasound Med Biol. 2020 Nov;46(11):2908-2917. doi: 10.1016/j.ultrasmedbio.2020.07.018. Epub 2020 Jul 20.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验