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电阻抗断层成像技术在肺部疾病诊断与监测中的应用

[Application of electrical impedance tomography in diagnosis and monitoring of pulmonary diseases].

作者信息

Hu Xiaomin, Zhang Shuaifu, Chen Panfeng, Dong Feng, Fan Haojun, Lyu Qi, Xu Yanbin

机构信息

School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, P. R. China.

Department of Respiratory and Critical Care Medicine, Tianjin First Central Hospital, Tianjin 300192, P. R. China.

出版信息

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2025 Apr 25;42(2):389-395. doi: 10.7507/1001-5515.202407072.

DOI:10.7507/1001-5515.202407072
PMID:40288983
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12035636/
Abstract

Electrical impedance tomography (EIT) is a new non-invasive functional imaging technology, which has the advantages of non-invasion, non-radiation, low cost, fast response, portability and visualization. In recent years, more and more studies have shown that EIT has great potential in the detection of lung diseases and has been applied to early diagnosis and treatment of some diseases. This paper introduced the basic principle of EIT, discussed the research and clinical application of EIT in the detection of acute respiratory distress syndrome, chronic obstructive pulmonary disease, pneumothorax and pulmonary embolism, and focused on the summary and introduction of indicators and functional images of EIT related to the detection of lung diseases. This review will help medical workers understand and use EIT, and promote the further development of EIT in lung diseases as well as other fields.

摘要

电阻抗断层成像(EIT)是一种新型的非侵入性功能成像技术,具有无创、无辐射、成本低、响应快、便携及可视化等优点。近年来,越来越多的研究表明,EIT在肺部疾病检测方面具有巨大潜力,并已应用于某些疾病的早期诊断和治疗。本文介绍了EIT的基本原理,探讨了EIT在急性呼吸窘迫综合征、慢性阻塞性肺疾病、气胸和肺栓塞检测中的研究及临床应用,并重点总结和介绍了与肺部疾病检测相关的EIT指标和功能图像。本综述将有助于医务工作者理解和使用EIT,并推动EIT在肺部疾病及其他领域的进一步发展。

相似文献

1
[Application of electrical impedance tomography in diagnosis and monitoring of pulmonary diseases].电阻抗断层成像技术在肺部疾病诊断与监测中的应用
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2025 Apr 25;42(2):389-395. doi: 10.7507/1001-5515.202407072.
2
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本文引用的文献

1
Monitoring of spontaneous pneumothorax using electrical impedance tomography: A case report.使用电阻抗断层成像技术监测自发性气胸:一例报告。
Heliyon. 2024 Feb 1;10(3):e25405. doi: 10.1016/j.heliyon.2024.e25405. eCollection 2024 Feb 15.
2
GOLD COPD report: 2024 update.慢性阻塞性肺疾病全球倡议(GOLD)报告:2024年更新版
Lancet Respir Med. 2024 Jan;12(1):15-16. doi: 10.1016/S2213-2600(23)00461-7. Epub 2023 Dec 4.
3
Clinical Applicability of Electrical Impedance Tomography in Patient-Tailored Ventilation: A Narrative Review.电阻抗断层成像在个体化通气中的临床应用:叙述性综述。
Tomography. 2023 Oct 18;9(5):1903-1932. doi: 10.3390/tomography9050150.
4
A New Global Definition of Acute Respiratory Distress Syndrome.急性呼吸窘迫综合征的新全球定义。
Am J Respir Crit Care Med. 2024 Jan 1;209(1):37-47. doi: 10.1164/rccm.202303-0558WS.
5
Management of severe acute respiratory distress syndrome: a primer.严重急性呼吸窘迫综合征的管理:入门指南。
Crit Care. 2023 Jul 18;27(1):289. doi: 10.1186/s13054-023-04572-w.
6
Advanced Point-of-care Bedside Monitoring for Acute Respiratory Failure.急性呼吸衰竭的高级床旁即时监测
Anesthesiology. 2023 Mar 1;138(3):317-334. doi: 10.1097/ALN.0000000000004480.
7
Electrical Impedance Tomography As a Bedside Diagnostic Tool for Pulmonary Embolism.电阻抗断层成像作为肺栓塞的床边诊断工具
Crit Care Explor. 2023 Jan 17;5(1):e0843. doi: 10.1097/CCE.0000000000000843. eCollection 2023 Jan.
8
Emerging trends and hot spots on electrical impedance tomography extrapulmonary applications.电阻抗断层成像肺外应用的新兴趋势与热点
Heliyon. 2022 Dec 21;8(12):e12458. doi: 10.1016/j.heliyon.2022.e12458. eCollection 2022 Dec.
9
Bedside electrical impedance tomography in early diagnosis of pneumothorax in mechanically ventilated ICU patients - a single-center retrospective cohort study.床边电阻抗断层扫描在机械通气ICU患者气胸早期诊断中的应用——一项单中心回顾性队列研究
J Clin Monit Comput. 2023 Apr;37(2):629-637. doi: 10.1007/s10877-022-00935-w. Epub 2022 Nov 4.
10
The global inhomogeneity index assessed by electrical impedance tomography overestimates PEEP requirement in patients with ARDS: an observational study.应用电阻抗断层成像评估的全球不均匀指数高估 ARDS 患者的 PEEP 需求:一项观察性研究。
BMC Anesthesiol. 2022 Aug 15;22(1):258. doi: 10.1186/s12871-022-01801-7.