Evidence map›Paper›PMID 38008795›Full record

Review3D printing in medicine2023

Clinical situations for which 3D printing is considered an appropriate representation or extension of data contained in a medical imaging examination: neurosurgical and otolaryngologic conditions.

Arafat Ali, Jonathan M Morris, Summer J Decker, Yu-Hui Huang, Nicole Wake, Frank J Rybicki, David H Ballard

Abstract readReview
In one paragraph

Review in 3D printing in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Arafat AliDepartment of Radiology, Henry Ford Health, Detroit, MI, USA.
Jonathan M MorrisDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Summer J DeckerDivision of Imaging Research and Applied Anatomy, Department of Radiology, University of South Florida Morsani College of Medicine, Tampa, FL, USA.
Yu-Hui HuangDepartment of Radiology, University of Minnesota, Minneapolis, MN, USA.
Nicole WakeDepartment of Research and Scientific Affairs, GE HealthCare, New York, NY, USA.
Frank J RybickiDepartment of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
David H BallardMallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO, USA. davidballard@wustl.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedical three dimensional (3D) printing is performed for neurosurgical and otolaryngologic conditions, but without evidence-based guidance on clinical appropriateness. A writing group composed of the Radiological Society of North America (RSNA) Special Interest Group on 3D Printing (SIG) provides appropriateness recommendations for neurologic 3D printing conditions.

methodsA structured literature search was conducted to identify all relevant articles using 3D printing technology associated with neurologic and otolaryngologic conditions. Each study was vetted by the authors and strength of evidence was assessed according to published guidelines.

resultsEvidence-based recommendations for when 3D printing is appropriate are provided for diseases of the calvaria and skull base, brain tumors and cerebrovascular disease. Recommendations are provided in accordance with strength of evidence of publications corresponding to each neurologic condition combined with expert opinion from members of the 3D printing SIG.

conclusionsThis consensus guidance document, created by the members of the 3D printing SIG, provides a reference for clinical standards of 3D printing for neurologic conditions.

Indexed as

3D printingAdditive ManufacturingAnatomic modelAnd NeurosurgeryAppropriatenessGuidelinesNeurologyQualityRadiology

Identifiers

PMID38008795
PMCPMC10680204

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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.