Evidence map›Paper›PMID 42729812›Full record

ArticleBJR open2026

Fabrication of anatomical sonographic phantoms through direct 3D-printing.

Joanne Alice Zejmo, Laura Gorman, Christian Myles, James F X Jones

Abstract read
In one paragraph

Article in BJR open, 2026. 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

4 authors.

Joanne Alice ZejmoSchool of Medicine, University College Dublin, UCD Health Sciences Centre, Belfield, Dublin 4, D04 V1W8, Ireland.ORCID https://orcid.org/0009-0005-5648-8193
Laura GormanSchool of Medicine, University College Dublin, UCD Health Sciences Centre, Belfield, Dublin 4, D04 V1W8, Ireland.
Christian MylesSchool of Medicine, University College Dublin, UCD Health Sciences Centre, Belfield, Dublin 4, D04 V1W8, Ireland.
James F X JonesSchool of Medicine, University College Dublin, UCD Health Sciences Centre, Belfield, Dublin 4, D04 V1W8, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Sonographic anatomy classes can be curtailed by the availability of subjects for sensitive regional scanning. These limitations can be overcome by using anatomically realistic ultrasound phantoms (USPs). Simulation-based training with USPs also allows interventional radiology (IR) trainees to safely practice complex procedures. However, commercial phantoms are not patient-specific and involve costly, lengthy production methods. We describe a simple method for producing anatomically realistic USPs from 2D grey-scale ultrasound images using rapid direct 3D-printing technology. Methods: Original sonographic images were obtained from an open-source database and by scanning student volunteers. Images were digitally modified using Inkscape, ImageJ, Blender, Meshmixer, and CHITUBOX software programs. Models were printed using resin photopolymer 3D printers. In total, 4 phantoms were made: a femoral trochlea, a pediatric appendix, an eye with retinal detachment, and a radial nerve/brachioradialis model. The ImageJ Fiji plugin function, "Block Matching Correspondences" (BMCs) was used to assess similarity between source and phantom images. Results: All phantom images displayed BMCs with the original images (14%-43% similarity). The radial nerve model displayed the highest similarity. USPs produced with a hydrophilic swellable resin could be imaged throughout their full thickness and penetrated by a needle. Conclusions: In summary, this approach can manufacture USPs from 2D ultrasound data capable of generating anatomically accurate, patient-specific sonographic images. The low cost of these models, alongside their reproducibility through rapid 3D-printing technology, makes them a highly accessible, effective tool for simulation-based IR training. Advances in knowledge: To our knowledge, this study presents the first anatomical USPs, which have been directly 3D-printed from a single 2D ultrasound image source.

Indexed as

3D printinginterventional radiologyIR trainingphantomultrasound

Identifiers

PMID42729812
PMCPMC13563663

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.