Evidence map›Paper›PMID 40864210›Full record

ArticleIrish journal of medical science2025

Utilization of a novel radio-opaque 3D printed phantom for simulation training of CT-guided interventional procedure.

Peter McAnena, Kevin J O'Sullivan, Aidan O'Sullivan, Karan Gupta, Alice Shannon, Leonard W O'Sullivan, Jennifer Ni Mhuircheartaigh

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Article in Irish journal of medical science, 2025. 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
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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

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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

7 authors.

Peter McAnenaDepartment of Radiology, University Hospital Limerick, Limerick, Ireland. pmcanuig@gmail.com.ORCID http://orcid.org/0000-0003-1179-7150
Kevin J O'SullivanHealth Research Institute, Confirm Centre for Smart Manufacturing, School of Architecture and Product Design, University of Limerick, Limerick, Ireland.
Aidan O'SullivanHealth Research Institute, Confirm Centre for Smart Manufacturing, School of Architecture and Product Design, University of Limerick, Limerick, Ireland.
Karan GuptaSchool of Engineering, University of Limerick, Limerick, Ireland.
Alice ShannonHealth Research Institute, Confirm Centre for Smart Manufacturing, School of Architecture and Product Design, University of Limerick, Limerick, Ireland.
Leonard W O'SullivanHealth Research Institute, Confirm Centre for Smart Manufacturing, School of Architecture and Product Design, University of Limerick, Limerick, Ireland.
Jennifer Ni MhuircheartaighDepartment of Radiology, University Hospital Limerick, Limerick, Ireland.

Funding

Science Foundation Ireland SFI 16/RC/3918
6 · The paper itself

Abstract

backgroundTraining radiology residents to perform CT-guided procedures can be challenging due to limited access to scanner time, competition for procedures with other residents and fellows and the risk of exposing patients to unnecessary additional radiation due to the inexperience of the primary operator. Simulation training has shown great benefit in reducing patient risk and increasing training opportunities. The aim of this study was to assess the impact of a high-fidelity 3D-printed model as an interventional radiology training tool for trainees.

methodsThis study was approved by the local research ethics committee. Using anonymised patient scan data from a prone CT colonography study, the pelvis and two vertebrae were 3D printed in an experimental radiopaque resin. A five-sided mould was created for casting the pelvic phantom. The lower back soft tissue impression was converted to a surface using Geomagic software. This surface was subtracted from a solid base using a Boolean extraction. Gel wax was gently poured into the mould to reduce air bubble formation. The phantom was allowed to cool and solidify overnight. Radiology trainees at our institution were invited to participate in the study and received formal teaching by a musculoskeletal fellowship-trained radiologist before performing two independent CT-guided needle placements on the model. Data were recorded on trainee confidence prior to and after the training session, time to complete the procedure and dose to the model for each attempt and compared using paired t-tests.

resultsTwelve radiology trainees took part in the study. Mean total procedure time and dose to the model decreased significantly for the second attempt compared to their first attempt at needle placement in the SI joint (6.9 vs. 4.2 min, p = 0.008, DLP 31.1 vs. 25.9, p = 0.022 respectively). Trainees were significantly more confident in performing a CT-guided SI joint injection following the training session.

conclusionThis study demonstrates that a 3D-printed model hip can provide a valuable training experience for radiology trainees for performing CT-guided interventions and can improve performance and confidence, without conferring any risk to patients. This model could be incorporated into radiology training curricula.

Indexed as

Phantoms, ImagingPrinting, Three-DimensionalRadiography, InterventionalRadiology, InterventionalSimulation TrainingTomography, X-Ray ComputedClinical CompetenceHumans3D printingInterventional radiologyJoint injectionMedical educationSimulation

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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.