Evidence map›Paper›PMID 31150340›Full record

ArticleIEEE transactions on ultrasonics, ferroelectrics, and frequency control2019

Nonlinear Shear Modulus Estimation With Bi-Axial Motion Registered Local Strain.

Soumya Goswami, Rifat Ahmed, Marvin M Doyley, Stephen A McAleavey

Abstract read
In one paragraph

Article in IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Imaging the Local Nonlinear Viscoelastic Properties of Soft Tissues: Initial Validation and Expected Benefits.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2022
    Article
  5. Shear Wave Elasticity Imaging Using Nondiffractive Bessel Apodized Acoustic Radiation Force.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2021
    Article
  6. Article
  7. 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

4 authors.

Soumya Goswami
Rifat Ahmed
Marvin M Doyley
Stephen A McAleavey

Funding

Quantification of Shear Wave Strain Dependence in Breast TissuesR21EB017503 · NIBIB · UNIVERSITY OF ROCHESTER · PI MCALEAVEY, STEPHEN A · 2016 to 2017
$408k
NIBIB NIH HHS R21 EB017503
6 · The paper itself

Abstract

Nonlinear elasticity imaging provides additional information about tissue behavior that is potentially diagnostic and avoids errors inherent in applying a linear elastic model to tissue under large strains. Nonlinear elasticity imaging is challenging to perform due to the large deformations required to obtain sufficient tissue strain to elicit nonlinear behavior. This work uses a method of axial and lateral displacement tracking to estimate local axial strain with simultaneous measurement of shear modulus at multiple compression levels. By following the change in apparent shear modulus and the stress deduced from the strain maps, we are able to accurately quantify nonlinear shear modulus (NLSM). We have validated our technique with a mechanical NLSM measurement system. Our results demonstrate that 2-D tracking provides more consistent NLSM estimates than those obtained by 1-D (axial) tracking alone, especially where lateral motion is significant. The elastographic contrast-to-noise ratio in heterogeneous phantoms was 12.5%-60% higher using our method than that of 1-D tracking. Our method is less susceptible to mechanical variations, with deviations in mean elastic values of 2%-4% versus 5%-37% for 1-D tracking.

Indexed as

AlgorithmsElasticity Imaging TechniquesElastic ModulusImage Processing, Computer-AssistedMotionPhantoms, ImagingSignal Processing, Computer-AssistedSignal-To-Noise Ratio

Identifiers

PMID31150340
PMCPMC6684490

What OpenQuestion holds

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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.