Evidence map›Paper›PMID 28295027›Full record

ArticleScientific reports2017

Improved shear wave motion detection using coded excitation for transient elastography.

Xiao-Nian He, Xian-Fen Diao, Hao-Ming Lin, Xin-Yu Zhang, Yuan-Yuan Shen, Si-Ping Chen, Zheng-Di Qin, Xin Chen

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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

8 authors.

Xiao-Nian HeSchool of Biomedical Engineering, Shenzhen University, Shenzhen, China.
Xian-Fen DiaoSchool of Biomedical Engineering, Shenzhen University, Shenzhen, China.
Hao-Ming LinSchool of Biomedical Engineering, Shenzhen University, Shenzhen, China.
Xin-Yu ZhangSchool of Biomedical Engineering, Shenzhen University, Shenzhen, China.
Yuan-Yuan ShenSchool of Biomedical Engineering, Shenzhen University, Shenzhen, China.
Si-Ping ChenSchool of Biomedical Engineering, Shenzhen University, Shenzhen, China.
Zheng-Di QinSchool of Biomedical Engineering, Shenzhen University, Shenzhen, China.
Xin ChenSchool of Biomedical Engineering, Shenzhen University, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transient elastography (TE) is well adapted for use in studying liver elasticity. However, because the shear wave motion signal is extracted from the ultrasound signal, the weak ultrasound signal can significantly deteriorate the shear wave motion tracking process and make it challenging to detect the shear wave motion in a severe noise environment, such as within deep tissues and within obese patients. This paper, therefore, investigated the feasibility of implementing coded excitation in TE for shear wave detection, with the hypothesis that coded ultrasound signals can provide robustness to weak ultrasound signals compared with traditional short pulse. The Barker 7, Barker 13, and short pulse were used for detecting the shear wave in the TE application. Two phantom experiments and one in vitro liver experiment were done to explore the performances of the coded excitation in TE measurement. The results show that both coded pulses outperform the short pulse by providing superior shear wave signal-to-noise ratios (SNR), robust shear wave speed measurement, and higher penetration intensity. In conclusion, this study proved the feasibility of applying coded excitation in shear wave detection for TE application. The proposed method has the potential to facilitate robust shear elasticity measurements of tissue.

Indexed as

AnimalsElasticityElasticity Imaging TechniquesElectromagnetic PhenomenaHumansLiverShear StrengthSignal-To-Noise RatioSwineUltrasonography

Identifiers

PMID28295027
PMCPMC5353590

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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.