Evidence map›Paper›PMID 40660077›Full record

ArticleJournal of ultrasound2025

Homemade, low-cost ultrasound phantoms for ultrasound-guided procedures: a survey-based comparative analysis.

Hassan Magdy Abd Elrazek, Mohamed Sherif Ali Ahmed, Dalia Fahmy, Reem Khaled

Abstract readComparative Study
In one paragraph

Article in Journal of ultrasound, 2025. 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. Review
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

4 authors.

Hassan Magdy Abd ElrazekRadiology Department, Gastrointestinal Surgery Center, Mansoura University, Mansoura, Egypt.
Mohamed Sherif Ali AhmedMansoura University Hospital, Mansoura, 35516, Egypt. mohamedsherifaliahmed@gmail.com.ORCID http://orcid.org/0009-0007-7258-039X
Dalia FahmyFaculty of Medicine, Mansoura University, Mansoura, Egypt.
Reem KhaledRadiology Department, Gastrointestinal Surgery Center, Mansoura University, Mansoura, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThere is growing demand for ultrasound-based minimally invasive procedures, such as biopsy, aspiration, and tube drain. Homemade ultrasound (US) phantoms provide a simple, low-cost method for training young radiology residents. We aimed to compare and finally prescribe low-cost recipes of a US phantom model utilizing available ingredients, providing homogenous images and is stable in our hot, humid weather.

methodsFive recipes with different ingredients and concentrations were used during five workshops. All participants were asked to fill out a survey assessing the stability, visibility of targets, homogeneity, and persistence of air-filled tracks. Solid and cyst-like targets were used for training and were included in the survey.

resultsOur findings demonstrate that model 3 (1 cup of gelatin powder per 2 cups of cornflower) and model 5 (7 tablespoons of gelatin powder per 4 tablespoons of mucil) yielded the best phantoms in terms of stability and visibility of targets. Model 5 provided the best homogeneity (no layering), but it was the most expensive. Animal tissue within US phantoms was not suitable for recurrent use after 24 h.

conclusionsGelatin-based homemade US phantom models were useful in training young radiologists. The best mixture was gelatin and mucil (in a 7:4 ratio), followed by gelatin and cornflower (in a 1:2 ratio).

Indexed as

Phantoms, ImagingUltrasonography, InterventionalGelatinHumansInternship and ResidencySurveys and QuestionnairesGelatinIngredientsPhantomResidentsTrainingUltrasound

Identifiers

PMID40660077
PMCPMC12675847

What OpenQuestion holds

Textmetadata
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.