Evidence map›Paper›PMID 30153279›Full record

ArticlePloS one2018

Feasibility of non-linear beamforming ultrasound methods to characterize and size kidney stones.

Ryan S Hsi, Siegfried G Schlunk, Jaime E Tierney, Kazuyuki Dei, Rebecca Jones, Mark George, Pranav Karve, Ravindra Duddu, Brett C Byram

Abstract read
In one paragraph

Article in PloS one, 2018. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Combining ADMIRE and MV to Improve Image Quality.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2022
    Article
  3. 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

9 authors.

Ryan S HsiDepartment of Urology, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.ORCID 0000-0003-1652-694X
Siegfried G SchlunkDepartment of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, United States of America.
Jaime E TierneyDepartment of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, United States of America.
Kazuyuki DeiDepartment of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, United States of America.
Rebecca JonesDepartment of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, United States of America.
Mark GeorgeDepartment of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, United States of America.
Pranav KarveDepartment of Civil and Environmental Engineering, Vanderbilt University, Nashville, Tennessee, United States of America.
Ravindra DudduDepartment of Civil and Environmental Engineering, Vanderbilt University, Nashville, Tennessee, United States of America.
Brett C ByramDepartment of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, United States of America.

Funding

Suppression and Analysis of Ultrasonic Clutter During Liver Focal Lesion BiopsyR01EB020040 · NIBIB · VANDERBILT UNIVERSITY · PI BYRAM, BRETT C · 2016 to 2019
$1.3M
NIBIB NIH HHS R01 EB020040
6 · The paper itself

Abstract

purposeUltrasound methods for kidney stone imaging suffer from poor sensitivity and size overestimation. The study objective was to demonstrate feasibility of non-linear ultrasound beamforming methods for stone imaging, including plane wave synthetic focusing (PWSF), short-lag spatial coherence (SLSC) imaging, mid-lag spatial coherence (MLSC) imaging with incoherent compounding, and aperture domain model image reconstruction (ADMIRE). MATERIALS AND

methodsThe ultrasound techniques were evaluated in an in vitro kidney stone model and in a pilot study of 5 human stone formers (n = 6 stones). Stone contrast, contrast-to-noise ratio (CNR), sizing, posterior shadow contrast, and shadow width sizing were compared among the different techniques and to B-mode. CT imaging within 60 days was considered the gold standard stone size. Paired t-tests using Bonferroni correction were performed to evaluate comparing each technique with B-mode.

resultsMean CT measured stone size was 6.0mm (range 2.9-12.2mm) with mean skin-to-stone distance 10.2cm (range 5.4-16.3cm). Compared to B-mode, stone contrast was best with ADMIRE (mean +12.2dB), while SLSC and MLSC showed statistically improved CNR. Sizing was best with ADMIRE (mean +1.3mm error), however this was not significantly improved over B-mode (+2.4mm). PWSF performed similarly to B-mode for stone contrast, CNR, SNR, and stone sizing. In the in vitro model, the shadow contrast was highest with ADMIRE (mean 10.5 dB vs 3.1 dB with B-mode). Shadow sizing was best with SLSC (mean error +0.9mm ± 2.9), however the difference compared to B-mode was not significant.

conclusionsThe detection and sizing of stones are feasible with advanced beamforming methods with ultrasound. ADMIRE, SLSC, and MLSC hold promise for improving stone detection, shadow contrast, and sizing.

Indexed as

AgedAlgorithmsFeasibility StudiesFemaleHumansKidney CalculiMaleMiddle AgedNonlinear DynamicsPattern Recognition, AutomatedPilot ProjectsProspective StudiesTomography, X-Ray ComputedUltrasonography

Identifiers

PMID30153279
PMCPMC6112662

What OpenQuestion holds

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LicenceCC BY
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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.