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评估急性呼吸窘迫综合征的医学成像进展。

Advances in medical imaging to evaluate acute respiratory distress syndrome.

作者信息

Huang Shan, Wang Yuan-Cheng, Ju Shenghong

机构信息

Department of Radiology, Jiangsu Key Laboratory of Molecular and Functional Imaging, School of Medicine, Zhongda Hospital, Southeast University, 87 Ding Jia Qiao Road, Nanjing, 210009 Jiangsu China.

Jiangsu Provincial Key Laboratory of Critical Care Medicine, Southeast University, Nanjing, 210009 China.

出版信息

Chin J Acad Radiol. 2022;5(1):1-9. doi: 10.1007/s42058-021-00078-y. Epub 2021 Jul 17.

Abstract

Acute respiratory distress syndrome is a refractory respiratory syndrome with a high prevalence in the Intensive Care Unit. Though much improvement has been achieved over the last 50 decades, the disease continues to be under-recognized and under-treated, and its mortality remains high. Since the first report, the radiologic examination has been an essential part in evaluating this disease. Chest X-ray radiography and computed tomography are conventional imaging techniques in routine clinical practice. Other image modalities, including lung ultrasound, electrical impedance tomography, positron emission tomography, have demonstrated their respective advantages over recent years but have not yet been broadly applied in clinical practice. Among these modalities, computed tomography and its quantitative analysis have shown an irreplaceable power in diagnosis, intervention evaluation and prognostic prediction. In this review, we briefly introduced the basics of acute respiratory distress syndrome and summarized imaging advances. In addition, we focused on the computed tomography modality and highlighted the value of its quantitative assessment.

摘要

急性呼吸窘迫综合征是一种在重症监护病房中患病率较高的难治性呼吸综合征。尽管在过去50年里已经取得了很大进展,但该疾病仍然未得到充分认识和治疗,死亡率仍然很高。自首次报告以来,放射学检查一直是评估该疾病的重要组成部分。胸部X线摄影和计算机断层扫描是常规临床实践中的传统成像技术。其他成像方式,包括肺部超声、电阻抗断层扫描、正电子发射断层扫描,近年来已显示出各自的优势,但尚未在临床实践中广泛应用。在这些方式中,计算机断层扫描及其定量分析在诊断、干预评估和预后预测方面显示出不可替代的作用。在本综述中,我们简要介绍了急性呼吸窘迫综合征的基础知识并总结了成像进展。此外,我们重点关注了计算机断层扫描方式,并强调了其定量评估的价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc98/8286037/f144eee78e48/42058_2021_78_Fig1_HTML.jpg

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