Evidence map›Paper›PMID 26137465›Full record

ReviewFrontiers in surgery2015

Emerging Applications of Bedside 3D Printing in Plastic Surgery.

Michael P Chae, Warren M Rozen, Paul G McMenamin, Michael W Findlay, Robert T Spychal, David J Hunter-Smith

Abstract readReview
In one paragraph

Review in Frontiers in surgery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
117citing papers in PubMed, 1 pooled it
–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

117 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Review
  6. Article
  7. Review
  8. Article
  9. Observational
  10. Article
  11. Spinal Cord Anatomy for Visually Impaired Students: The Development of 3D-Printed Educational Models.Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience · 2026
    Article
  12. Review
  13. Review
  14. Article
  15. Recent advances in 3D printing applications for CNS tumours.European journal of medical research · 2025
    Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article

57 more citing papers are in PubMed but not listed here.

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.

Michael P Chae3D PRINT Laboratory, Department of Surgery, Peninsula Health , Frankston, VIC , Australia ; Monash University Plastic and Reconstructive Surgery Group (Peninsula Clinical School), Peninsula Health , Frankston, VIC , Australia.
Warren M Rozen3D PRINT Laboratory, Department of Surgery, Peninsula Health , Frankston, VIC , Australia ; Monash University Plastic and Reconstructive Surgery Group (Peninsula Clinical School), Peninsula Health , Frankston, VIC , Australia.
Paul G McMenaminDepartment of Anatomy and Developmental Biology, Centre for Human Anatomy Education, School of Biomedical Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University , Clayton, VIC , Australia.
Michael W Findlay3D PRINT Laboratory, Department of Surgery, Peninsula Health , Frankston, VIC , Australia ; Department of Surgery, Stanford University , Stanford, CA , USA.
Robert T Spychal3D PRINT Laboratory, Department of Surgery, Peninsula Health , Frankston, VIC , Australia.
David J Hunter-Smith3D PRINT Laboratory, Department of Surgery, Peninsula Health , Frankston, VIC , Australia ; Monash University Plastic and Reconstructive Surgery Group (Peninsula Clinical School), Peninsula Health , Frankston, VIC , Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modern imaging techniques are an essential component of preoperative planning in plastic and reconstructive surgery. However, conventional modalities, including three-dimensional (3D) reconstructions, are limited by their representation on 2D workstations. 3D printing, also known as rapid prototyping or additive manufacturing, was once the province of industry to fabricate models from a computer-aided design (CAD) in a layer-by-layer manner. The early adopters in clinical practice have embraced the medical imaging-guided 3D-printed biomodels for their ability to provide tactile feedback and a superior appreciation of visuospatial relationship between anatomical structures. With increasing accessibility, investigators are able to convert standard imaging data into a CAD file using various 3D reconstruction softwares and ultimately fabricate 3D models using 3D printing techniques, such as stereolithography, multijet modeling, selective laser sintering, binder jet technique, and fused deposition modeling. However, many clinicians have questioned whether the cost-to-benefit ratio justifies its ongoing use. The cost and size of 3D printers have rapidly decreased over the past decade in parallel with the expiration of key 3D printing patents. Significant improvements in clinical imaging and user-friendly 3D software have permitted computer-aided 3D modeling of anatomical structures and implants without outsourcing in many cases. These developments offer immense potential for the application of 3D printing at the bedside for a variety of clinical applications. In this review, existing uses of 3D printing in plastic surgery practice spanning the spectrum from templates for facial transplantation surgery through to the formation of bespoke craniofacial implants to optimize post-operative esthetics are described. Furthermore, we discuss the potential of 3D printing to become an essential office-based tool in plastic surgery to assist in preoperative planning, developing intraoperative guidance tools, teaching patients and surgical trainees, and producing patient-specific prosthetics in everyday surgical practice.

Indexed as

3D printingbedsidecostdesktop applicationeducationintraoperative guidanceplastic and reconstructive surgerypreoperative planning

Identifiers

PMID26137465
PMCPMC4468745

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.