Evidence map›Paper›PMID 30710355›Full record

ReviewJournal of anatomy2019

Challenges in creating dissectible anatomical 3D prints for surgical teaching.

Ratheesraj Ratinam, Michelle Quayle, John Crock, Michelle Lazarus, Quentin Fogg, Paul McMenamin

Abstract readReview
In one paragraph

Review in Journal of anatomy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
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  5. A novel 3D-printed simulator for hands-on training in orthognathic surgery.Maxillofacial plastic and reconstructive surgery · 2025
    Article
  6. Article
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  8. Porcine model for tracheostomy training: evaluation of the content and construct validity.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2023
    Article
  9. Review
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  12. Article
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  15. Use of simulation-based training of surgical technical skills among ENTs: an international YO-IFOS survey.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2021
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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

6 authors.

Ratheesraj RatinamDepartment of Anatomy and Developmental Biology, Centre for Human Anatomy Education, Monash University, Clayton, Vic., Australia.ORCID 0000-0001-9349-2486
Michelle QuayleDepartment of Anatomy and Developmental Biology, Centre for Human Anatomy Education, Monash University, Clayton, Vic., Australia.
John CrockDepartment of Surgery, Monash University, Clayton, Vic., Australia.
Michelle LazarusDepartment of Anatomy and Developmental Biology, Centre for Human Anatomy Education, Monash University, Clayton, Vic., Australia.
Quentin FoggDepartment of Anatomy and Developmental Biology, Centre for Human Anatomy Education, Monash University, Clayton, Vic., Australia.
Paul McMenaminDepartment of Anatomy and Developmental Biology, Centre for Human Anatomy Education, Monash University, Clayton, Vic., Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional (3D) printing, or additive manufacturing, is now a widely used tool in pre-operative planning, surgical teaching and simulator training. However, 3D printing technology that produces models with accurate haptic feedback, biomechanics and visuals for the training surgeon is not currently available. Challenges and opportunities in creating such surgical models will be discussed in this review paper. Surgery requires proper tissue handling as well as knowledge of relevant anatomy. To prepare doctors properly, training models need to take into account the biomechanical properties of the anatomical structures that will be manipulated in any given operation. This review summarises and evaluates the current biomechanical literature as it relates to human tissues and correlates the impact of this knowledge on developing high fidelity 3D printed surgical training models. We conclude that, currently, a printer technology has not yet been developed which can replicate many of the critical qualities of human tissue. Advances in 3D printing technology will be required to allow the printing of multi-material products to achieve the mechanical properties required.

Indexed as

Models, AnatomicTeaching MaterialsBiomechanical PhenomenaBiomedical and Dental MaterialsEducation, MedicalHumansPrinting, Three-DimensionalSimulation TrainingSpecialties, SurgicalBiomedical and Dental Materialsadditive manufacturingbiomechanicalmulti-materialsurgerythree-dimensional printingtraining

Identifiers

PMID30710355
PMCPMC6422818

What OpenQuestion holds

Textmetadata
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.