Evidence map›Paper›PMID 30120585›Full record

ArticleJournal of materials science. Materials in medicine2018

Characterization of an artificial skull cap for cranio-maxillofacial surgery training.

Marianne Hollensteiner, David Fürst, Peter Augat, Falk Schrödl, Benjamin Esterer, Stefan Gabauer, Stefan Hunger, Michael Malek, Daniel Stephan, Andreas Schrempf

Open access · hybridAbstract read
In one paragraph

Article in Journal of materials science. Materials in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 5 institutions in 2 countries.

Marianne HollensteinerResearch Group for Surgical Simulators Linz, Upper Austria University of Applied Sciences, Linz, Austria. marianne.hollensteiner@fh-linz.at.ORCID http://orcid.org/0000-0002-9537-9070
David FürstResearch Group for Surgical Simulators Linz, Upper Austria University of Applied Sciences, Linz, Austria.
Peter AugatInstitue of Biomechanics, Berufsgenossenschaftliche Unfallklinik Murnau and Paracelsus Medical University Salzburg, Murnau, Germany.
Falk SchrödlInstitute of Anatomy, Paracelsus Medical University, Salzburg, Austria.
Benjamin EstererResearch Group for Surgical Simulators Linz, Upper Austria University of Applied Sciences, Linz, Austria.
Stefan GabauerResearch Group for Surgical Simulators Linz, Upper Austria University of Applied Sciences, Linz, Austria.
Stefan HungerDepartment for Oral and Maxillofacial Surgery, Kepler University Hospital, Med Campus III, Linz, Austria.
Michael MalekDepartment for Oral and Maxillofacial Surgery, Kepler University Hospital, Med Campus III, Linz, Austria.
Daniel StephanW & H Austria GmbH, Bürmoos, Austria.
Andreas SchrempfResearch Group for Surgical Simulators Linz, Upper Austria University of Applied Sciences, Linz, Austria.
Berufsgenossenschaftliche Unfallklinik Murnau · DEKepler Universitätsklinikum · ATParacelsus Medical University · ATUpper Austrian Research · ATW&H (Austria) · AT

Funding

Österreichische Forschungsförderungsgesellschaft 845436.
6 · The paper itself

Abstract

Cranial grafts are favored to reconstruct skeletal defects because of their reduced resorption and their histocompatibility. Training possibilities for novice surgeons include the "learning by doing" on the patient, specimens or simulators. Although the acceptance of simulators is growing, the major drawback is the lack of validated bone models. The aim of this study was to create and validate a realistic skull cap model and to show superiority compared to a commercially available skull model. Characteristic forces during machinery procedures were recorded and thickness parameters from the bony layers were obtained. The thickness values of the bone layers of the developed parietal bone were comparable to the human ones. Differences between drilling and sawing forces of human and artificial bones were not detected using statistical analysis. In contrast the parameters of the commercially available skull model were significantly different. However, as a result, a model-based simulator for tabula externa graft lift training, consisting of a brain, skull bone cap and covering soft tissues was created. This simulator enables the training of all procedural steps of a "split thickness graft lift". In conclusion, an artificial skull cap suitable for parietal graft lift training was manufactured and validated against human parietal bones.

Indexed as

Bone TransplantationComputer SimulationEquipment DesignFeedbackHumansModels, AnatomicSkullSurgery, OralTeachingTouchX-Ray Microtomography

Identifiers

PMID30120585
PMCPMC6105196
OpenAlexW2887574705

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.