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Real-Time Detection of Hemothorax and Monitoring its Progression in a Piglet Model by Electrical Impedance Tomography: A Feasibility Study

Hemothorax is a serious medical condition that can be life-threatening if left untreated. Early diagnosis and timely treatment are of great importance to produce favorable outcome. Although currently available diagnostic techniques, e.g., chest radiography, ultrasonography, and CT, can accurately de...

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Autores principales: Yang, Lin, Zhang, Chao, Liu, Wenbo, Wang, Hang, Xia, Junying, Liu, Benyuan, Shi, Xuetao, Dong, Xiuzhen, Fu, Feng, Dai, Meng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064861/
https://www.ncbi.nlm.nih.gov/pubmed/32190646
http://dx.doi.org/10.1155/2020/1357160
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author Yang, Lin
Zhang, Chao
Liu, Wenbo
Wang, Hang
Xia, Junying
Liu, Benyuan
Shi, Xuetao
Dong, Xiuzhen
Fu, Feng
Dai, Meng
author_facet Yang, Lin
Zhang, Chao
Liu, Wenbo
Wang, Hang
Xia, Junying
Liu, Benyuan
Shi, Xuetao
Dong, Xiuzhen
Fu, Feng
Dai, Meng
author_sort Yang, Lin
collection PubMed
description Hemothorax is a serious medical condition that can be life-threatening if left untreated. Early diagnosis and timely treatment are of great importance to produce favorable outcome. Although currently available diagnostic techniques, e.g., chest radiography, ultrasonography, and CT, can accurately detect hemothorax, delayed hemothorax cannot be identified early because these examinations are often performed on patients until noticeable symptoms manifest. Therefore, for early detection of delayed hemothorax, real-time monitoring by means of a portable and noninvasive imaging technique is needed. In this study, we employed electrical impedance tomography (EIT) to detect the onset of hemothorax in real time on eight piglet hemothorax models. The models were established by injection of 60 ml fresh autologous blood into the pleural cavity, and the subsequent development of hemothorax was monitored continuously. The results showed that EIT was able to sensitively detect hemothorax as small as 10 ml in volume, as well as its location. Also, the development of hemothorax over a range of 10 ml up to 60 ml was well monitored in real time, with a favorable linear relationship between the impedance change in EIT images and the volume of blood injected. These findings demonstrated that EIT has a unique potential for early diagnosis and continuous monitoring of hemothorax in clinical practice, providing medical staff valuable information for prompt identification and treatment of delayed hemothorax.
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spelling pubmed-70648612020-03-18 Real-Time Detection of Hemothorax and Monitoring its Progression in a Piglet Model by Electrical Impedance Tomography: A Feasibility Study Yang, Lin Zhang, Chao Liu, Wenbo Wang, Hang Xia, Junying Liu, Benyuan Shi, Xuetao Dong, Xiuzhen Fu, Feng Dai, Meng Biomed Res Int Research Article Hemothorax is a serious medical condition that can be life-threatening if left untreated. Early diagnosis and timely treatment are of great importance to produce favorable outcome. Although currently available diagnostic techniques, e.g., chest radiography, ultrasonography, and CT, can accurately detect hemothorax, delayed hemothorax cannot be identified early because these examinations are often performed on patients until noticeable symptoms manifest. Therefore, for early detection of delayed hemothorax, real-time monitoring by means of a portable and noninvasive imaging technique is needed. In this study, we employed electrical impedance tomography (EIT) to detect the onset of hemothorax in real time on eight piglet hemothorax models. The models were established by injection of 60 ml fresh autologous blood into the pleural cavity, and the subsequent development of hemothorax was monitored continuously. The results showed that EIT was able to sensitively detect hemothorax as small as 10 ml in volume, as well as its location. Also, the development of hemothorax over a range of 10 ml up to 60 ml was well monitored in real time, with a favorable linear relationship between the impedance change in EIT images and the volume of blood injected. These findings demonstrated that EIT has a unique potential for early diagnosis and continuous monitoring of hemothorax in clinical practice, providing medical staff valuable information for prompt identification and treatment of delayed hemothorax. Hindawi 2020-02-27 /pmc/articles/PMC7064861/ /pubmed/32190646 http://dx.doi.org/10.1155/2020/1357160 Text en Copyright © 2020 Lin Yang et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Yang, Lin
Zhang, Chao
Liu, Wenbo
Wang, Hang
Xia, Junying
Liu, Benyuan
Shi, Xuetao
Dong, Xiuzhen
Fu, Feng
Dai, Meng
Real-Time Detection of Hemothorax and Monitoring its Progression in a Piglet Model by Electrical Impedance Tomography: A Feasibility Study
title Real-Time Detection of Hemothorax and Monitoring its Progression in a Piglet Model by Electrical Impedance Tomography: A Feasibility Study
title_full Real-Time Detection of Hemothorax and Monitoring its Progression in a Piglet Model by Electrical Impedance Tomography: A Feasibility Study
title_fullStr Real-Time Detection of Hemothorax and Monitoring its Progression in a Piglet Model by Electrical Impedance Tomography: A Feasibility Study
title_full_unstemmed Real-Time Detection of Hemothorax and Monitoring its Progression in a Piglet Model by Electrical Impedance Tomography: A Feasibility Study
title_short Real-Time Detection of Hemothorax and Monitoring its Progression in a Piglet Model by Electrical Impedance Tomography: A Feasibility Study
title_sort real-time detection of hemothorax and monitoring its progression in a piglet model by electrical impedance tomography: a feasibility study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064861/
https://www.ncbi.nlm.nih.gov/pubmed/32190646
http://dx.doi.org/10.1155/2020/1357160
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