Evidence map›Paper›PMID 39013962›Full record

ArticleScientific reports2024

Reliability and robustness of a novel preclinical torsional wave-based device for stiffness evaluation.

Alberto García, Pablo Diez, Guillermo Rus, Antonio Callejas, Jorge Torres

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Alberto GarcíaInnitius, Derio, 48160, Spain. alberto.garcia@innitius.com.
Pablo DiezInnitius, Derio, 48160, Spain.
Guillermo RusUltrasonics Lab (TEP-959), Department of Structural Mechanics, University of Granada, Granada, 18071, Spain.
Antonio CallejasUltrasonics Lab (TEP-959), Department of Structural Mechanics, University of Granada, Granada, 18071, Spain. acallejas@go.ugr.es.
Jorge TorresLabTAU, INSERM, Centre Léon Bérard, Université Claude Bernard Lyon 1, Lyon, F-69003, France.

Funding

Junta de Andalucía -Consejería de Universidad, Investigación e Innovación P21.00182Ministerio de Ciencia, Tecnología e Innovación PID2020-115372RB-I00 PYC20 RE 072 UGR
6 · The paper itself

Abstract

In this work, we present a novel preclinical device utilizing Torsional Wave Elastography (TWE). It comprises a rotational actuator element and a piezoceramic receiver ring circumferentially aligned. Both allow the transmission of shear waves that interact with the tissue before being received. Our main objective is to demonstrate and characterize the reliability, robustness, and accuracy of the device for characterizing the stiffness of elastic materials and soft tissues. Experimental tests are performed using two sets of tissue mimicking phantoms. The first set consists of calibrated CIRS gels with known stiffness value, while the second test uses non-calibrated manufactured phantoms. Our experimental observations show that the proposed device consistently and repeatably quantifies the stiffness of elastic materials with high accuracy. Furthermore, comparison with established techniques demonstrates a very high correlation (> 95%), supporting the potential medical application of this technology. The results obtained pave the way for a cross-sectional study aiming to investigate the correlation between gestational age and cervical elastic properties during pregnancy.

Indexed as

Elasticity Imaging TechniquesPhantoms, ImagingElasticityEquipment DesignFemaleHumansPregnancyReproducibility of ResultsCervixIntraclass correlation coefficientMechanical biomarkersShear Wave ElastographyTissue biomarkersTorsional Wave Elastography

Identifiers

PMID39013962
PMCPMC11252416

What OpenQuestion holds

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Registered trials

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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.