Evidence map›Paper›PMID 35227324›Full record

ReviewMilitary Medical Research2022

Advances in electrical impedance tomography-based brain imaging.

Xi-Yang Ke, Wei Hou, Qi Huang, Xue Hou, Xue-Ying Bao, Wei-Xuan Kong, Cheng-Xiang Li, Yu-Qi Qiu, Si-Yi Hu, Li-Hua Dong

Open access · diamondAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Military Medical Research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
6.9field-weighted citation impact, top 2% 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

35 citing papers in PubMed, 78 citations in OpenAlex.

  1. Advances in Wearable Bioimaging.Advanced materials (Deerfield Beach, Fla.) · 2026
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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 2 institutions in 1 country.

Xi-Yang Ke *Department of Radiation Oncology and Therapy, The First Hospital of Jilin University, 130021, Changchun, China.
Wei Hou *Department of Radiation Oncology and Therapy, The First Hospital of Jilin University, 130021, Changchun, China.
Qi HuangCAS Key Laboratory of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, Jiangsu, China.
Xue HouDepartment of Radiation Oncology and Therapy, The First Hospital of Jilin University, 130021, Changchun, China.
Xue-Ying BaoDepartment of Radiation Oncology and Therapy, The First Hospital of Jilin University, 130021, Changchun, China.
Wei-Xuan KongDepartment of Radiation Oncology and Therapy, The First Hospital of Jilin University, 130021, Changchun, China.
Cheng-Xiang LiDepartment of Radiation Oncology and Therapy, The First Hospital of Jilin University, 130021, Changchun, China.
Yu-Qi QiuDepartment of Radiation Oncology and Therapy, The First Hospital of Jilin University, 130021, Changchun, China.
Si-Yi HuCAS Key Laboratory of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, Jiangsu, China. husiyi@sibet.ac.cn.
Li-Hua DongDepartment of Radiation Oncology and Therapy, The First Hospital of Jilin University, 130021, Changchun, China. dlh@jlu.edu.cn.
Jilin University · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Novel advances in the field of brain imaging have enabled the unprecedented clinical application of various imaging modalities to facilitate disease diagnosis and treatment. Electrical impedance tomography (EIT) is a functional imaging technique that measures the transfer impedances between electrodes on the body surface to estimate the spatial distribution of electrical properties of tissues. EIT offers many advantages over other neuroimaging technologies, which has led to its potential clinical use. This qualitative review provides an overview of the basic principles, algorithms, and system composition of EIT. Recent advances in the field of EIT are discussed in the context of epilepsy, stroke, brain injuries and edema, and other brain diseases. Further, we summarize factors limiting the development of brain EIT and highlight prospects for the field. In epilepsy imaging, there have been advances in EIT imaging depth, from cortical to subcortical regions. In stroke research, a bedside EIT stroke monitoring system has been developed for clinical practice, and data support the role of EIT in multi-modal imaging for diagnosing stroke. Additionally, EIT has been applied to monitor the changes in brain water content associated with cerebral edema, enabling the early identification of brain edema and the evaluation of mannitol dehydration. However, anatomically realistic geometry, inhomogeneity, cranium completeness, anisotropy and skull type, etc., must be considered to improve the accuracy of EIT modeling. Thus, the further establishment of EIT as a mature and routine diagnostic technique will necessitate the accumulation of more supporting evidence.

Indexed as

BrainTomographyElectric ImpedanceHumansNeuroimagingTomography, X-Ray ComputedBrain diseasesElectrical impedance tomography (EIT)Microelectrode arrayTissue impedance

Identifiers

PMID35227324
PMCPMC8883715
OpenAlexW4214614164

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.