Evidence map›Paper›PMID 32190646›Full record

ArticleBioMed research international2020

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

Lin Yang, Chao Zhang, Wenbo Liu, Hang Wang, Junying Xia, Benyuan Liu, Xuetao Shi, Xiuzhen Dong, Feng Fu, Meng Dai

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 51% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. The Research Progress of Electrical Impedance Tomography for Lung Monitoring.Frontiers in bioengineering and biotechnology · 2021
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Lin YangDepartment of Aerospace Medicine, Fourth Military Medical University, Xi'an, China.ORCID https://orcid.org/0000-0003-1641-2926
Chao ZhangMedical Engineering Section, General Hospital of Shenyang Military Region, Shenyang, China.
Wenbo LiuXijing hospital, Fourth Military Medical University, Xi'an, China.
Hang WangDepartment of Aerospace Medicine, Fourth Military Medical University, Xi'an, China.
Junying XiaDepartment of Biomedical Engineering, Fourth Military Medical University, Xi'an, China.
Benyuan LiuDepartment of Biomedical Engineering, Fourth Military Medical University, Xi'an, China.
Xuetao ShiDepartment of Biomedical Engineering, Fourth Military Medical University, Xi'an, China.
Xiuzhen DongDepartment of Biomedical Engineering, Fourth Military Medical University, Xi'an, China.
Feng FuDepartment of Biomedical Engineering, Fourth Military Medical University, Xi'an, China.ORCID https://orcid.org/0000-0003-0547-7601
Meng DaiDepartment of Biomedical Engineering, Fourth Military Medical University, Xi'an, China.ORCID https://orcid.org/0000-0003-4389-8888
Air Force Medical University · CNGeneral Hospital of Shenyang Military Region · CNXijing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Electric ImpedanceAlgorithmsAnimalsDisease Models, AnimalDisease ProgressionEarly DiagnosisFeasibility StudiesFemaleHemothoraxHumansImage Processing, Computer-AssistedLungMaleMonitoring, PhysiologicPleural CavitySensitivity and Specificity

Identifiers

PMID32190646
PMCPMC7064861
OpenAlexW3006778213

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.