Evidence map›Paper›PMID 32364161›Full record

ArticleTechnology and health care : official journal of the European Society for Engineering and Medicine2020

Experimental study on differential diagnosis of cerebral hemorrhagic and ischemic stroke based on microwave measurement.

Feng Wang, Haisheng Zhang, Junlin Bao, Huaiqiang Li, Weihao Peng, Jia Xu, Jun Yang, Wei Zhuang, Xu Ning, Lin Xu and 3 more

Abstract read
In one paragraph

Article in Technology and health care : official journal of the European Society for Engineering and Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. Review
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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

13 authors.

Feng WangCollege of Biomedical Engineering, Army Medical University, Chongqing, China.
Haisheng ZhangCollege of Biomedical Engineering, Army Medical University, Chongqing, China.
Junlin BaoHospital 32308, Zhangjiakou, Hebei, China.
Huaiqiang LiXinjiang Drug Equipment Inspection Institute, Xinjiang, China.
Weihao PengHospital 32280, Leshan, Henan, China.
Jia XuCollege of Biomedical Engineering, Army Medical University, Chongqing, China.
Jun YangCollege of Biomedical Engineering, Army Medical University, Chongqing, China.
Wei ZhuangCollege of Biomedical Engineering, Army Medical University, Chongqing, China.
Xu NingCollege of Biomedical Engineering, Army Medical University, Chongqing, China.
Lin XuCollege of Biomedical Engineering, Army Medical University, Chongqing, China.
Liang QiaoCollege of Biomedical Engineering, Army Medical University, Chongqing, China.
Mingxin QinCollege of Biomedical Engineering, Army Medical University, Chongqing, China.
Mingsheng ChenCollege of Biomedical Engineering, Army Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHemorrhagic stroke and ischemic stroke have similar symptoms at the onset of the disease, but their clinical treatment is completely different. The early, effective identification of stroke types can effectively improve the cure rate.

objectiveIn this study, an early, noncontact identification of the stroke type, i.e., hemorrhagic or ischemic, based on a microwave measurement technique was investigated.

methodsThis study was based on animal models of cerebral hemorrhage and cerebral ischemia and the design of a microwave scattering parameter measurement system.

resultsThe accuracy of the cerebral hemorrhage model with a blood loss interval of 2 ml reached 93.75%. While the accuracy of the cerebral ischemia model with an ischemic interval of 42 minutes reached 91.7%.

conclusionThe experimental results show that the system for identifying cerebral stroke based on microwaves can distinguish between cerebral hemorrhage and cerebral ischemia models and effectively distinguish between different degrees of cerebral hemorrhage or different durations of cerebral ischemia. This experimental system is inexpensive, portable, noninvasive, simple, and rapid and thus has good potential as a method for identifying the stroke type prior to hospitalization.

Indexed as

MicrowavesAnimalsDiagnosis, DifferentialDisease Models, AnimalFemaleHemorrhagic StrokeIschemic StrokeMaleRabbitsSensitivity and Specificitycerebral hemorrhagecerebral ischemiamicrowave detectionnoncontact diagnosisStroke type diagnosis

Identifiers

PMID32364161
PMCPMC7369055

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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.