Evidence map›Paper›PMID 39124008›Full record

ArticleSensors (Basel, Switzerland)2024

Quality Assurance of Point and 2D Shear Wave Elastography through the Establishment of Baseline Data Using Phantoms.

Jacqueline Gallet, Elisabetta Sassaroli, Qing Yuan, Areej Aljabal, Mi-Ae Park

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Jacqueline GalletDepartment of Radiology, Division of Medical Physics, UT Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0001-8109-3015
Elisabetta SassaroliSTEM Department, MassBay Community College, Wellesley, MA 02481, USA.
Qing YuanDepartment of Radiology, Division of Medical Physics, UT Southwestern Medical Center, Dallas, TX 75390, USA.
Areej AljabalDepartment of Radiology, Division of Medical Physics, UT Southwestern Medical Center, Dallas, TX 75390, USA.
Mi-Ae ParkDepartment of Radiology, Division of Medical Physics, UT Southwestern Medical Center, Dallas, TX 75390, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultrasound elastography has been available on most modern systems; however, the implementation of quality processes tends to be ad hoc. It is essential for a medical physicist to benchmark elastography measurements on each system and track them over time, especially after major software upgrades or repairs. This study aims to establish baseline data using phantoms and monitor them for quality assurance in elastography. In this paper, we utilized two phantoms: a set of cylinders, each with a composite material with varying Young's moduli, and an anthropomorphic abdominal phantom containing a liver modeled to represent early-stage fibrosis. These phantoms were imaged using three ultrasound manufacturers' elastography functions with either point or 2D elastography. The abdominal phantom was also imaged using magnetic resonance elastography (MRE) as it is recognized as the non-invasive gold standard for staging liver fibrosis. The scaling factor was determined based on the data acquired using MR and US elastography from the same vendor. The ultrasound elastography measurements showed inconsistency between different manufacturers, but within the same manufacturer, the measurements showed high repeatability. In conclusion, we have established baseline data for quality assurance procedures and specified the criteria for the acceptable range in liver fibrosis phantoms during routine testing.

Indexed as

Elasticity Imaging TechniquesPhantoms, ImagingElastic ModulusHumansLiverLiver CirrhosisMagnetic Resonance Imaging2D sheer waveelastography phantomquality assuranceultrasound elastography

Identifiers

PMID39124008
PMCPMC11314857

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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.