Evidence map›Paper›PMID 32057471›Full record

ArticleUltrasound in medicine & biology2020

On the Challenges Associated with Obtaining Reproducible Measurements Using SWEI in the Median Nerve.

Anna E Knight, Samantha L Lipman, Thammathida Ketsiri, Lisa D Hobson-Webb, Kathryn R Nightingale

Open access · greenAbstract read
In one paragraph

Article in Ultrasound in medicine & biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Carpal tunnel syndrome.Nature reviews. Disease primers · 2024
    Review
  2. Article
  3. Hydrophone Spatial Averaging Artifacts for ARFI Beams from Array Transducers.IEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium · 2020
    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 at 1 institution in 1 country.

Anna E KnightDuke Biomedical Engineering, Duke University, Durham, NC. Electronic address: anna.knight@duke.edu.
Samantha L LipmanDuke Biomedical Engineering, Duke University, Durham, NC.
Thammathida KetsiriDuke Biomedical Engineering, Duke University, Durham, NC.
Lisa D Hobson-WebbDuke Department of Neurology/Neuromuscular Division, Duke University, Durham, NC.
Kathryn R NightingaleDuke Biomedical Engineering, Duke University, Durham, NC.
Duke University · US

Funding

REMOTE PALPATION IMAGING IN THE BREASTR01EB002132 · NIBIB · DUKE UNIVERSITY · PI NIGHTINGALE, KATHRYN RADABAUGH · 2003 to 2015
$4.9M
Training in Medical ImagingT32EB001040 · NIBIB · DUKE UNIVERSITY · PI NIGHTINGALE, KATHRYN RADABAUGH · 2003 to 2018
$4.4M
Improved ultrasound imaging using elevated acoustic outputR01EB022106 · NIBIB · DUKE UNIVERSITY · PI NIGHTINGALE, KATHRYN RADABAUGH · 2016 to 2019
$1.8M
NIBIB NIH HHS R01 EB002132NIBIB NIH HHS R01 EB022106NIBIB NIH HHS T32 EB001040
6 · The paper itself

Abstract

This work discusses challenges we have encountered in acquiring reproducible measurements of shear wave speed (SWS) in the median nerve and suggests methods for improving reproducibility. First, procedural acquisition challenges are described, including nerve echogenicity, transducer pressure and transmit focal depth. Second, we present an iterative, radon sum-based algorithm that was developed specifically for measuring the SWS in median nerves. SWSs were measured using single track location shear wave elasticity imaging (SWEI) in the median nerves of six healthy volunteers and six patients diagnosed with carpal tunnel syndrome. Unsuccessful measurements were associated with several challenges including reverberation artifacts, low signal-to-noise ratio and temporal window limitations for tracking the velocity wave. To address these challenges, an iterative convergence algorithm was implemented to identify an appropriate temporal processing window that removed the reverberation artifacts while preserving shear wave signals. Algorithmically, it was important to consider the lateral regression kernel size and position and the temporal window. Procedurally, both nerve echogenicity and transducer compression were determined to impact the measured SWS. Shear waves were successfully measured in the median nerve proximal to the carpal tunnel, but SWEI measurements were significantly compromised within the carpal tunnel itself. The velocity-based SWSs were statistically significantly higher than the displacement SWSs (p < 0.0001), demonstrating for the first time dispersion in the median nerve in vivo using SWEI.

Indexed as

AlgorithmsArtifactsCarpal Tunnel SyndromeElasticity Imaging TechniquesHumansMedian NerveNeural ConductionReproducibility of ResultsSignal-To-Noise RatioCarpal tunnel syndromeElastographyMedian nerve

Identifiers

PMID32057471
PMCPMC7419061
OpenAlexW3006097075

What OpenQuestion holds

Textmetadata
LicenceTDM
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.