Evidence map›Paper›PMID 33303768›Full record

ArticleScientific reports2020

Noninvasive and portable stroke type discrimination and progress monitoring based on a multichannel microwave transmitting-receiving system.

Jia Xu, Jingbo Chen, Wei Yu, Haisheng Zhang, Feng Wang, Wei Zhuang, Jun Yang, Zelin Bai, Lin Xu, Jian Sun and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

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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

14 authors.

Jia XuCollege of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, 400030, People's Republic of China.
Jingbo ChenCollege of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, 400030, People's Republic of China.
Wei YuCollege of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, 400030, People's Republic of China.
Haisheng ZhangCollege of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, 400030, People's Republic of China.
Feng WangCollege of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, 400030, People's Republic of China.
Wei ZhuangCollege of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, 400030, People's Republic of China.
Jun YangCollege of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, 400030, People's Republic of China.
Zelin BaiCollege of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, 400030, People's Republic of China.
Lin XuCollege of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, 400030, People's Republic of China.
Jian SunCollege of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, 400030, People's Republic of China.
Gui JinCollege of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, 400030, People's Republic of China.
Yongjian NianCollege of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, 400030, People's Republic of China.
Mingxin QinCollege of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, 400030, People's Republic of China. qmingxin@tmmu.edu.cn.
Mingsheng ChenCollege of Biomedical Engineering, Third Military Medical University (Army Medical University), Chongqing, 400030, People's Republic of China. chenms83@tmmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The hemorrhagic and the ischemic types of stroke have similar symptoms in the early stage, but their treatments are completely different. The timely and effective discrimination of the two types of stroke can considerable improve the patients' prognosis. In this paper, a 16-channel and noncontact microwave-based stroke detection system was proposed and demonstrated for the potential differentiation of the hemorrhagic and the ischemic stroke. In animal experiments, 10 rabbits were divided into two groups. One group consisted of five cerebral hemorrhage models, and the other group consisted of five cerebral ischemia models. The two groups were monitored by the system to obtain the Euclidean distance transform value of microwave scattering parameters caused by pathological changes in the brain. The support vector machine was used to identify the type and the severity of the stroke. Based on the experiment, a discrimination accuracy of 96% between hemorrhage and ischemia stroke was achieved. Furthermore, the potential of monitoring the progress of intracerebral hemorrhage or ischemia was evaluated. The discrimination of different degrees of intracerebral hemorrhage achieved 86.7% accuracy, and the discrimination of different severities of ischemia achieved 94% accuracy. Compared with that with multiple channels, the discrimination accuracy of the stroke severity with a single channel was only 50% for the intracerebral hemorrhage and ischemia stroke. The study showed that the microwave-based stroke detection system can effectively distinguish between the cerebral hemorrhage and the cerebral ischemia models. This system is very promising for the prehospital identification of the stroke type due to its low cost, noninvasiveness, and ease of operation.

Indexed as

MicrowavesMonitoring, PhysiologicAnimalsHumansRabbitsStrokeSupport Vector MachineThrombolytic Therapy

Identifiers

PMID33303768
PMCPMC7728752

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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.