Evidence map›Paper›PMID 38874675›Full record

ArticleThe ultrasound journal2024

A do it yourself (DIY) point-of-care wrist ultrasound phantom for joint access training.

Andrea Cheng, Justin Zhou, Chun Hei Ryan Chan, Connie Chen, Charlotte Cheng, Kaitlyn Storm, Anson Zhou, Alan Mao, Won Jun Kuk, Tiffany C Fong and 2 more

Abstract read
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In one paragraph

Article in The ultrasound journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Andrea Cheng *Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA. acheng41@jhu.edu.ORCID http://orcid.org/0009-0003-4338-0269
Justin Zhou *Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0000-0003-2584-3592
Chun Hei Ryan ChanDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-6432-4667
Connie ChenDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Charlotte ChengDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Kaitlyn StormDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0000-0001-8911-2364
Anson ZhouDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0000-0001-6045-6083
Alan MaoDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0000-0003-2381-0607
Won Jun KukDepartment of Emergency Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Tiffany C FongDepartment of Emergency Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Ignacio VillagranDepartment of Health Sciences, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
Constanza MirandaDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-9110-2832

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundJoint access is essential for arthrocentesis, or joint aspiration of fluids. Joint treatments that are not performed properly can result in avoidable patient issues such as damage to the muscles, tendons, and blood vessels surrounding the joint. The use of ultrasound has become the gold standard for this procedure and proven to be a support in the skill learning process. However, success with this equipment, particularly in small joints like the wrist, depends on a clinician's capacity to recognize the crucial landmarks that guide these procedures. Prior to executing on a real patient, task trainers have proven to be an effective way for doctors to practice and prepare for procedures. However, shortcomings of current solutions include high purchase costs, incompatibility with ultrasound imaging, and low reusability. In addition, since this is a procedure that is not performed frequently, there may not be space or resources available in healthcare facilities to accommodate one at the point of care. This study aimed to close the existing gap by developing a DIY ultrasound compatible task trainer for wrist joint access training.

resultsWe developed a novel ultrasound compatible wrist joint model that can be made from sustainable materials and reusable parts, thus reducing the costs for acquisition and environmental impact. Our model, which was produced utilizing small-batch production methods, is made up of 3D-printed bones enclosed in an ultrasound-compatible gelatin mixture. It can be easily remade after each practice session, removing needle tracks that are visible under ultrasound for conventional phantoms. The ultrasonic properties of this model were tested through pixel brightness analysis and visual inspection of simulated anatomical structures.

conclusionOur results report the advantages and limitations of the proposed model regarding production, practice, and ultrasound compatibility. While future work entails the transfer to patients of the same skill, this reusable and replicable model has proven, when presented to experts, to be successful in representing the physical characteristics and ultrasound profile of significant anatomical structures. This novel DIY product could be an effective alternative to teach procedures in the context of resource-restrained clinical simulation centers.

Indexed as

ArthrocentesisDIYPoint of careTask trainer

Identifiers

PMID38874675
PMCPMC11178702

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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.