Evidence map›Paper›PMID 31514632›Full record

SynthesisTechnology in cancer research & treatment2019

A Systematic Review on 3D-Printed Imaging and Dosimetry Phantoms in Radiation Therapy.

Rance Tino, Adam Yeo, Martin Leary, Milan Brandt, Tomas Kron

Abstract readSystematic Review
In one paragraph

Synthesis in Technology in cancer research & treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

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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.

Rance TinoRMIT Centre for Additive Manufacture, Innovative Manufacturing Research Group (Medical Manufacturing), RMIT University, Melbourne, Australia.ORCID 0000-0003-4563-5491
Adam YeoPhysical Sciences Department, Peter MacCallum Cancer Centre, Melbourne, Australia.
Martin LearyRMIT Centre for Additive Manufacture, Innovative Manufacturing Research Group (Medical Manufacturing), RMIT University, Melbourne, Australia.
Milan BrandtRMIT Centre for Additive Manufacture, Innovative Manufacturing Research Group (Medical Manufacturing), RMIT University, Melbourne, Australia.
Tomas KronARC Industrial Transformation Training Centre in Additive Biomanufacturing, Queensland University of Technology, Brisbane, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAdditive manufacturing or 3-dimensional printing has become a widespread technology with many applications in medicine. We have conducted a systematic review of its application in radiation oncology with a particular emphasis on the creation of phantoms for image quality assessment and radiation dosimetry. Traditionally used phantoms for quality assurance in radiotherapy are often constraint by simplified geometry and homogenous nature to perform imaging analysis or pretreatment dosimetric verification. Such phantoms are limited due to their ability in only representing the average human body, not only in proportion and radiation properties but also do not accommodate pathological features. These limiting factors restrict the patient-specific quality assurance process to verify image-guided positioning accuracy and/or dose accuracy in "water-like" condition. METHODS AND

resultsEnglish speaking manuscripts published since 2008 were searched in 5 databases (Google Scholar, Scopus, PubMed, IEEE Xplore, and Web of Science). A significant increase in publications over the 10 years was observed with imaging and dosimetry phantoms about the same total number (52 vs 50). Key features of additive manufacturing are the customization with creation of realistic pathology as well as the ability to vary density and as such contrast. Commonly used printing materials, such as polylactic acid, acrylonitrile butadiene styrene, high-impact polystyrene and many more, are utilized to achieve a wide range of achievable X-ray attenuation values from -1000 HU to 500 HU and higher. Not surprisingly, multimaterial printing using the polymer jetting technology is emerging as an important printing process with its ability to create heterogeneous phantoms for dosimetry in radiotherapy.

conclusionGiven the flexibility and increasing availability and low cost of additive manufacturing, it can be expected that its applications for radiation medicine will continue to increase.

Indexed as

Printing, Three-DimensionalHumansImaging, Three-DimensionalNeoplasmsPhantoms, ImagingRadiation OncologyRadiometryadditive manufacturingdosimetryheterogeneityimagingradiationradiopacity

Identifiers

PMID31514632
PMCPMC6856980

What OpenQuestion holds

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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.