Evidence map›Paper›PMID 32459059›Full record

SynthesisJournal of applied clinical medical physics2020

Three-dimensional printing in radiation oncology: A systematic review of the literature.

Michael K Rooney, David M Rosenberg, Steve Braunstein, Adam Cunha, Antonio L Damato, Eric Ehler, Todd Pawlicki, James Robar, Ken Tatebe, Daniel W Golden

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of applied clinical medical physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Reply to Correspondence by Kleebayoon and Wiwanitkit.Technical innovations & patient support in radiation oncology · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Brachytherapy and 3D printing for skin cancer: A review paper.Journal of contemporary brachytherapy · 2024
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors.

Michael K RooneyCollege of Medicine, University of Illinois at Chicago, Chicago, IL, USA.
David M RosenbergCollege of Medicine, University of Illinois at Chicago, Chicago, IL, USA.
Steve BraunsteinDepartment of Radiation Oncology, University of California, San Francisco, CA, USA.
Adam CunhaDepartment of Radiation Oncology, University of California, San Francisco, CA, USA.
Antonio L DamatoDepartment Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Eric EhlerDepartment of Radiation Oncology, University of Minnesota, Minneapolis, MN, USA.
Todd PawlickiDepartment of Radiation Medicine and Applied Sciences, University of California, San Diego, CA, USA.
James RobarDepartment of Radiation Oncology, Dalhousie University, Halifax, Canada.
Ken TatebeDepartment of Radiation and Cellular Oncology, University of Chicago, Chicago, IL, USA.
Daniel W GoldenDepartment of Radiation and Cellular Oncology, University of Chicago, Chicago, IL, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

PURPOSE/

objectivesThree-dimensional (3D) printing is recognized as an effective clinical and educational tool in procedurally intensive specialties. However, it has a nascent role in radiation oncology. The goal of this investigation is to clarify the extent to which 3D printing applications are currently being used in radiation oncology through a systematic review of the literature. MATERIALS/

methodsA search protocol was defined according to preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. Included articles were evaluated using parameters of interest including: year and country of publication, experimental design, sample size for clinical studies, radiation oncology topic, reported outcomes, and implementation barriers or safety concerns.

resultsOne hundred and three publications from 2012 to 2019 met inclusion criteria. The most commonly described 3D printing applications included quality assurance phantoms (26%), brachytherapy applicators (20%), bolus (17%), preclinical animal irradiation (10%), compensators (7%), and immobilization devices (5%). Most studies were preclinical feasibility studies (63%), with few clinical investigations such as case reports or series (13%) or cohort studies (11%). The most common applications evaluated within clinical settings included brachytherapy applicators (44%) and bolus (28%). Sample sizes for clinical investigations were small (median 10, range 1-42). A minority of articles described basic or translational research (11%) and workflow or cost evaluation studies (3%). The number of articles increased over time (P < 0.0001). While outcomes were heterogeneous, most studies reported successful implementation of accurate and cost-effective 3D printing methods.

conclusionsThree-dimensional printing is rapidly growing in radiation oncology and has been implemented effectively in a diverse array of applications. Although the number of 3D printing publications has steadily risen, the majority of current reports are preclinical in nature and the few clinical studies that do exist report on small sample sizes. Further dissemination of ongoing investigations describing the clinical application of developed 3D printing technologies in larger cohorts is warranted.

Indexed as

BrachytherapyRadiation OncologyAnimalsPhantoms, ImagingPrinting, Three-Dimensional3D printingadditive manufacturingclinical applicationradiation oncology

Identifiers

PMID32459059
PMCPMC7484837

What OpenQuestion holds

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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.