Evidence map›Paper›PMID 40523083›Full record

ArticleMagnetic resonance in medicine2025

3D-printable phantoms for quantitative dynamic contrast-enhanced MRI.

M Sulaiman Sarwar, Antoine Vallatos, Cher Hon Lau, Adam Waldman, Simone Dimartino, Michael J Thrippleton

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 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. 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

6 authors.

M Sulaiman SarwarCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.
Antoine VallatosCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0002-5202-056X
Cher Hon LauInstitute for Materials and Processes, University of Edinburgh, Edinburgh, United Kingdom.
Adam WaldmanCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.
Simone DimartinoInstitute for Bioengineering, University of Edinburgh, Edinburgh, United Kingdom.
Michael J ThrippletonCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0001-7858-9917

Funding

Brain Tumour Charity GN00003Clerk Maxwell Cancer Research FundEngineering and Physical Sciences Research Council (EPSRC) EP/T517884/1Wellcome Trust
6 · The paper itself

Abstract

purposeA novel 3D-printed phantom design and methodology are proposed, addressing important requirements for technical validation, quality assurance, and multi-site harmonization of quantitative DCE-MRI measurements.

methodsPhantoms were produced by 3D-printing (3DP) gels incorporating channels and pores as proxies for blood vessels and extravascular extracellular space, respectively. A flow circuit was designed to reproduce clinically relevant arterial input functions. Using nine gels with variable porosity and channel size, we evaluated the effect of 3DP parameters on DCE-MRI parameters obtained using the extended Tofts model (ET). Physical gel and fitted model parameters were correlated by multiple linear regression.

resultsAll phantoms generated realistic arterial input functions, and tissue-like signal enhancement curves were accurately modeled by the ET model. As hypothesized, blood plasma volume fraction, v

conclusionsTailorable 3D-printed porous gel phantoms generating tissue-mimicking DCE-MRI signals have the potential to support validation, quality assurance, and multi-site harmonization of quantitative DCE-MRI.

Indexed as

Contrast MediaMagnetic Resonance ImagingPhantoms, ImagingPrinting, Three-DimensionalEquipment DesignEquipment Failure AnalysisHumansReproducibility of ResultsContrast Media3D printingDCEMRIperfusionpermeabilityphantoms

Identifiers

PMID40523083
PMCPMC12393202

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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.