Evidence map›Paper›PMID 37915751›Full record

ArticleAPL bioengineering2023

Supershear Rayleigh wave imaging for quantitative assessment of biomechanical properties of brain using air-coupled optical coherence elastography.

Yirui Zhu, Jiulin Shi, Tomas E Gomez Alvarez-Arenas, Chenxi Li, Haohao Wang, Hongling Cai, Dong Zhang, Xingdao He, Xiaoshan Wu

Open access · goldAbstract read
In one paragraph

Article in APL bioengineering, 2023. 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
0.9field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Phantoms for use in optical coherence elastography.Journal of biomedical optics · 2026
    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

9 authors at 2 institutions in 1 country.

Jiulin ShiSchool of Testing and Opto-electric Engineering, Nanchang Hangkong University, Nanchang 330063, China.
Tomas E Gomez Alvarez-ArenasUltrasonic and Sensors Technologies Department, Information and Physical Technologies Institute, Spanish National Research Council, Serrano 144, 28006 Madrid, Spain.ORCID https://orcid.org/0000-0002-1971-7402
Chenxi LiSchool of Testing and Opto-electric Engineering, Nanchang Hangkong University, Nanchang 330063, China.
Haohao WangSchool of Testing and Opto-electric Engineering, Nanchang Hangkong University, Nanchang 330063, China.
Hongling CaiSchool of Physics, Nanjing University, Nanjing 210093, China.ORCID https://orcid.org/0000-0002-2855-3016
Dong ZhangSchool of Physics, Nanjing University, Nanjing 210093, China.ORCID https://orcid.org/0000-0001-5297-8658
Xingdao HeSchool of Testing and Opto-electric Engineering, Nanchang Hangkong University, Nanchang 330063, China.
Xiaoshan WuSchool of Physics, Nanjing University, Nanjing 210093, China.ORCID https://orcid.org/0000-0003-4200-3587
Nanchang Hangkong University · CNNanjing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, supershear Rayleigh waves (SRWs) have been proposed to characterize the biomechanical properties of soft tissues. The SRWs propagate along the surface of the medium, unlike surface Rayleigh waves, SRWs propagate faster than bulk shear waves. However, their behavior and application in biological tissues is still elusive. In brain tissue elastography, shear waves combined with magnetic resonance elastography or ultrasound elastography are generally used to quantify the shear modulus, but high spatial resolution elasticity assessment in 10

Identifiers

PMID37915751
PMCPMC10618026
OpenAlexW4388021305

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.