Evidence map›Paper›PMID 34061042›Full record

ArticlePhysics in medicine and biology2021

Multimodal guided wave inversion for arterial stiffness: methodology and validation in phantoms.

Tuhin Roy, Matthew Urban, Yingzheng Xu, James Greenleaf, Murthy N Guddati

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  7. Full waveform inversion for arterial viscoelasticity.Physics in medicine and biology · 2023
    Article
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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

5 authors.

Tuhin RoyDepartment of Civil Engineering, North Carolina State University, Raleigh, NC, United States of America.ORCID 0000-0002-1735-1590
Matthew UrbanDepartment of Radiology, Mayo Clinic, Rochester, MN, United States of America.ORCID 0000-0003-1360-4287
Yingzheng XuDepartment of Integrative Biology and Physiology, University of Minnesota, Minneapolis, MN, United States of America.
James GreenleafDepartment of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, United States of America.
Murthy N GuddatiDepartment of Civil Engineering, North Carolina State University, Raleigh, NC, United States of America.

Funding

Measuring arterial material properties using wave-based approaches with ultrasound and computational models - Administrative SupplementR01HL145268 · NHLBI · MAYO CLINIC ROCHESTER · PI Matthew William Urban · 2019 to 2026
$5.9M
NHLBI NIH HHS R01 HL145268
6 · The paper itself

Abstract

Arterial stiffness is an important biomarker for many cardiovascular diseases. Shear wave elastography is a recent technique aimed at estimating local arterial stiffness using guided wave inversion (GWI), i.e. matching the computed and measured wave dispersion. This paper develops and validates a new GWI approach by synthesizing various recent observations and algorithms: (a) refinements to signal processing to obtain more accurate experimental dispersion curves; (b) an efficient forward model to compute theoretical dispersion curves for immersed, incompressible cylindrical waveguides; (c) an optimization framework based on the recent observation that the measured dispersion curve is multimodal, i.e. it matches for not one but two different wave modes in two different frequency ranges. The resulting inversion approach is validated using extensive experimental data from rubber tube phantoms, not only for modulus estimation but also to simultaneously estimate modulus and wall thickness. The observations indicate that the modulus estimates are best performed with the information on wall thickness. The approach, which takes less than half a minute to run, is shown to be accurate, with the modulus estimated with less than 4% error for 70% of the experiments.

Indexed as

Elasticity Imaging TechniquesVascular StiffnessAlgorithmsElastic ModulusPhantoms, Imagingdispersionelastographyfinite elementfluid-structure interactioninverse problems

Identifiers

PMID34061042
PMCPMC8489237

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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.