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急性呼吸窘迫综合征的影像学:过去、现在和未来。

Imaging the acute respiratory distress syndrome: past, present and future.

机构信息

Service de Médecine Intensive - Réanimation, Hôpital de la Croix Rousse, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69317, Lyon Cedex 04, France.

Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, CNRS, INSERM, CREATIS UMR 5220, U1294, Villeurbanne, France.

出版信息

Intensive Care Med. 2022 Aug;48(8):995-1008. doi: 10.1007/s00134-022-06809-8. Epub 2022 Jul 14.

Abstract

In patients with the acute respiratory distress syndrome (ARDS), lung imaging is a fundamental tool in the study of the morphological and mechanistic features of the lungs. Chest computed tomography studies led to major advances in the understanding of ARDS physiology. They allowed the in vivo study of the syndrome's lung features in relation with its impact on respiratory physiology and physiology, but also explored the lungs' response to mechanical ventilation, be it alveolar recruitment or ventilator-induced lung injuries. Coupled with positron emission tomography, morphological findings were put in relation with ventilation, perfusion or acute lung inflammation. Lung imaging has always been central in the care of patients with ARDS, with modern point-of-care tools such as electrical impedance tomography or lung ultrasounds guiding clinical reasoning beyond macro-respiratory mechanics. Finally, artificial intelligence and machine learning now assist imaging post-processing software, which allows real-time analysis of quantitative parameters that describe the syndrome's complexity. This narrative review aims to draw a didactic and comprehensive picture of how modern imaging techniques improved our understanding of the syndrome, and have the potential to help the clinician guide ventilatory treatment and refine patient prognostication.

摘要

在急性呼吸窘迫综合征(ARDS)患者中,肺部影像学是研究肺部形态和机械特征的基本工具。胸部计算机断层扫描研究推动了对 ARDS 生理学的深入理解。它们使人们能够在体内研究该综合征的肺部特征与其对呼吸生理和生理的影响,还可以探索肺部对机械通气的反应,包括肺泡复张或呼吸机引起的肺损伤。结合正电子发射断层扫描,形态学发现与通气、灌注或急性肺炎症相关。肺部影像学在 ARDS 患者的治疗中一直处于核心地位,现代即时护理工具,如电阻抗断层成像或肺部超声,指导临床推理超越宏观呼吸力学。最后,人工智能和机器学习现在辅助成像后处理软件,允许实时分析描述该综合征复杂性的定量参数。本综述旨在形象地全面介绍现代影像学技术如何帮助我们加深对该综合征的理解,并有可能帮助临床医生指导通气治疗和改善患者预后。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab38/9281340/dfd8f5de684e/134_2022_6809_Fig1_HTML.jpg

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