Cargando…
Characterization of an artificial skull cap for cranio-maxillofacial surgery training
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...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6105196/ https://www.ncbi.nlm.nih.gov/pubmed/30120585 http://dx.doi.org/10.1007/s10856-018-6143-4 |
_version_ | 1783349617462607872 |
---|---|
author | Hollensteiner, Marianne Fürst, David Augat, Peter Schrödl, Falk Esterer, Benjamin Gabauer, Stefan Hunger, Stefan Malek, Michael Stephan, Daniel Schrempf, Andreas |
author_facet | Hollensteiner, Marianne Fürst, David Augat, Peter Schrödl, Falk Esterer, Benjamin Gabauer, Stefan Hunger, Stefan Malek, Michael Stephan, Daniel Schrempf, Andreas |
author_sort | Hollensteiner, Marianne |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6105196 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-61051962018-08-30 Characterization of an artificial skull cap for cranio-maxillofacial surgery training Hollensteiner, Marianne Fürst, David Augat, Peter Schrödl, Falk Esterer, Benjamin Gabauer, Stefan Hunger, Stefan Malek, Michael Stephan, Daniel Schrempf, Andreas J Mater Sci Mater Med Clinical Applications of Biomaterials 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. Springer US 2018-08-17 2018 /pmc/articles/PMC6105196/ /pubmed/30120585 http://dx.doi.org/10.1007/s10856-018-6143-4 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, duplication, adaptation, distribution, and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Clinical Applications of Biomaterials Hollensteiner, Marianne Fürst, David Augat, Peter Schrödl, Falk Esterer, Benjamin Gabauer, Stefan Hunger, Stefan Malek, Michael Stephan, Daniel Schrempf, Andreas Characterization of an artificial skull cap for cranio-maxillofacial surgery training |
title | Characterization of an artificial skull cap for cranio-maxillofacial surgery training |
title_full | Characterization of an artificial skull cap for cranio-maxillofacial surgery training |
title_fullStr | Characterization of an artificial skull cap for cranio-maxillofacial surgery training |
title_full_unstemmed | Characterization of an artificial skull cap for cranio-maxillofacial surgery training |
title_short | Characterization of an artificial skull cap for cranio-maxillofacial surgery training |
title_sort | characterization of an artificial skull cap for cranio-maxillofacial surgery training |
topic | Clinical Applications of Biomaterials |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6105196/ https://www.ncbi.nlm.nih.gov/pubmed/30120585 http://dx.doi.org/10.1007/s10856-018-6143-4 |
work_keys_str_mv | AT hollensteinermarianne characterizationofanartificialskullcapforcraniomaxillofacialsurgerytraining AT furstdavid characterizationofanartificialskullcapforcraniomaxillofacialsurgerytraining AT augatpeter characterizationofanartificialskullcapforcraniomaxillofacialsurgerytraining AT schrodlfalk characterizationofanartificialskullcapforcraniomaxillofacialsurgerytraining AT estererbenjamin characterizationofanartificialskullcapforcraniomaxillofacialsurgerytraining AT gabauerstefan characterizationofanartificialskullcapforcraniomaxillofacialsurgerytraining AT hungerstefan characterizationofanartificialskullcapforcraniomaxillofacialsurgerytraining AT malekmichael characterizationofanartificialskullcapforcraniomaxillofacialsurgerytraining AT stephandaniel characterizationofanartificialskullcapforcraniomaxillofacialsurgerytraining AT schrempfandreas characterizationofanartificialskullcapforcraniomaxillofacialsurgerytraining |