Evidence map›Paper›PMID 40228196›Full record

ArticlePloS one2025

Empirical estimation of Young's modulus for biological tissue mimics using acoustic impedance measurements: A study on agar gel tissue phantoms.

Shinri Morodomi, Kazushi Ito, Satoru Maegawa, Yoshihiro Ujihara, Shukei Sugita, Masanori Nakamura

Abstract read
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In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Shinri MorodomiDepartment of Electrical and Mechanical Engineering, Graduate School of Engineering, Nagoya Institute of Technology, Aichi, Japan.
Kazushi ItoDepartment of Electrical and Mechanical Engineering, Graduate School of Engineering, Nagoya Institute of Technology, Aichi, Japan.
Satoru MaegawaDepartment of Electrical and Mechanical Engineering, Graduate School of Engineering, Nagoya Institute of Technology, Aichi, Japan.
Yoshihiro UjiharaDepartment of Electrical and Mechanical Engineering, Graduate School of Engineering, Nagoya Institute of Technology, Aichi, Japan.ORCID 0000-0001-5715-6688
Shukei SugitaDepartment of Electrical and Mechanical Engineering, Graduate School of Engineering, Nagoya Institute of Technology, Aichi, Japan.ORCID 0000-0002-0922-2465
Masanori NakamuraDepartment of Electrical and Mechanical Engineering, Graduate School of Engineering, Nagoya Institute of Technology, Aichi, Japan.ORCID 0000-0002-6867-0786

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mechanical properties of biological tissues are significant biomarkers for diagnosing various diseases. The aim of this study was to develop an empirical formula to estimate Young's modulus from the acoustic impedance measured by scanning acoustic microscopy. Agar, a material with mechanical properties similar to those of biological tissues, was prepared at concentrations ranging from 5% to 20%. The acoustic impedance was measured by scanning acoustic microscopy, and Young's modulus was determined via indentation testing. The results showed that both the acoustic impedance and Young's modulus increased with agar concentration. Theoretical models did not accurately describe the relationship between the acoustic impedance Z and Young's modulus E; however, the empirical formula [Formula: see text] (with E in Pa and Z in Ns/[Formula: see text]) provided a better fit. This formula could potentially be used to estimate Young's modulus for biological tissues, aiding in the realistic analysis of stress fields and understanding the etiology of various diseases.

Indexed as

Acoustic Impedance TestsAgarElastic ModulusPhantoms, ImagingGelsMicroscopy, AcousticAgarGels

Identifiers

PMID40228196
PMCPMC11996209

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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.