Evidence map›Paper›PMID 36888699›Full record

ArticleScience advances2023

Noninvasive measurement of local stress inside soft materials with programmed shear waves.

Zhaoyi Zhang, Guo-Yang Li, Yuxuan Jiang, Yang Zheng, Artur L Gower, Michel Destrade, Yanping Cao

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Simple non-invasive in vivo measurement of stress difference in the skin.Biomechanics and modeling in mechanobiology · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
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

7 authors at 4 institutions in 4 countries.

Zhaoyi ZhangInstitute of Biomechanics and Medical Engineering, AML, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, P.R. China.ORCID 0000-0001-9191-3451
Guo-Yang LiHarvard Medical School and Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA 02139, USA.ORCID 0000-0002-5939-9293
Yuxuan JiangInstitute of Biomechanics and Medical Engineering, AML, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, P.R. China.ORCID 0000-0001-7660-8029
Yang ZhengInstitute of Biomechanics and Medical Engineering, AML, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, P.R. China.ORCID 0000-0003-3321-9677
Artur L GowerDepartment of Mechanical Engineering, University of Sheffield, Sheffield, UK.ORCID 0000-0002-3229-5451
Michel DestradeSchool of Mathematical and Statistical Sciences, University of Galway, Galway, Ireland.ORCID 0000-0002-6266-1221
Yanping CaoInstitute of Biomechanics and Medical Engineering, AML, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, P.R. China.ORCID 0000-0003-4787-9748
Tsinghua University · CNHarvard University · USOllscoil na Gaillimhe – University of Galway · IEUniversity of Sheffield · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mechanical stresses across different length scales play a fundamental role in understanding biological systems' functions and engineering soft machines and devices. However, it is challenging to noninvasively probe local mechanical stresses in situ, particularly when the mechanical properties are unknown. We propose an acoustoelastic imaging-based method to infer the local stresses in soft materials by measuring the speeds of shear waves induced by custom-programmed acoustic radiation force. Using an ultrasound transducer to excite and track the shear waves remotely, we demonstrate the application of the method by imaging uniaxial and bending stresses in an isotropic hydrogel and the passive uniaxial stress in a skeletal muscle. These measurements were all done without the knowledge of the constitutive parameters of the materials. The experiments indicate that our method will find broad applications, ranging from health monitoring of soft structures and machines to diagnosing diseases that alter stresses in soft tissues.

Indexed as

EngineeringMuscle, SkeletalPhantoms, ImagingStress, Mechanical

Identifiers

PMID36888699
PMCPMC9995030
OpenAlexW4323636825

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.