Evidence map›Paper›PMID 41706422›Full record

ArticlePhysical and engineering sciences in medicine2026

Development and validation of a 3D-printed dosimetry phantom for paediatric radiology.

Jonathon Richard Stone, Pejman Rowshanfarzad, Adriano Polpo, Chris Williams, Rikki Nezich

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Physical and engineering sciences in medicine, 2026. 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.

Jonathon Richard StoneSchool of Physics, Mathematics and Computing, The University of Western Australia, Crawley, WA, Australia. jon.stone@act.gov.au.ORCID http://orcid.org/0009-0005-6390-4773
Pejman RowshanfarzadSchool of Physics, Mathematics and Computing, The University of Western Australia, Crawley, WA, Australia.ORCID http://orcid.org/0000-0001-8306-7742
Adriano PolpoSchool of Physics, Mathematics and Computing, The University of Western Australia, Crawley, WA, Australia.ORCID http://orcid.org/0000-0002-5959-1808
Chris WilliamsDepartment of Medical Physics and Radiation Engineering, Canberra Health Services, Canberra, ACT, Australia.ORCID http://orcid.org/0009-0002-6739-4668
Rikki NezichSchool of Physics, Mathematics and Computing, The University of Western Australia, Crawley, WA, Australia.ORCID http://orcid.org/0000-0002-1473-1379

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radiation dosimetry is essential in the optimisation and justification of medical imaging procedures. However, the complexity of modern imaging equipment often surpasses the capabilities of standard dose calculation software, necessitating the use of commercially available dosimetry phantoms, which are often prohibitively expensive. This study aimed to develop a cost-effective, 3D-printed newborn-equivalent dosimetry phantom for measuring organ and whole-body effective doses. Several Polylactic Acid (PLA)-based filaments were investigated for tissue equivalency through Hounsfield-value analysis via micro-CT (40-70 kVp) and clinical CT (70-140 kVp) measurements. Standard PLA at 93% (ρ = 1.14 g/cm

Indexed as

PediatricsPhantoms, ImagingPrinting, Three-DimensionalRadiometryHumansPolyestersPolyesterspoly(lactide)3D printingAnthropomorphic phantomDosimetryMonte Carlo validationPaediatric radiologyPLA tissue equivalency

Identifiers

PMID41706422
PMCPMC13375671

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.