Literature DB >> 18240335

A classification of cranial implants based on the degree of difficulty in computer design and manufacture.

Jules Poukens1, Paul Laeven, Maikel Beerens, Gerard Nijenhuis, Jos Vander Sloten, Paul Stoelinga, Peter Kessler.   

Abstract

BACKGROUND: Skull defects usually create aesthetic and functional disturbances to the patient. These defects are currently reconstructed by using computer-aided design and manufacturing processes. Classification of skull defects becomes important in discussing the complexity of reconstruction in clinical practice or comparing clinical results in scientific articles.
METHODS: A more comprehensive classification, which takes into account not only the anatomical location but also the degree of difficulty in designing and manufacturing the implant, is presented here. It is not our intention to describe the different treatment modalities; therefore, only two clinical examples are presented to demonstrate the purpose of classification.
RESULTS: The new classification enables a more detailed comparison of the clinical outcome of different modes of treatment for skull defects.
CONCLUSIONS: The proposed classification reflects the degree of difficulty in designing and manufacturing of implants and can be very useful when comparing treatment results of skull defects for clinical or scientific purposes.

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Year:  2008        PMID: 18240335     DOI: 10.1002/rcs.171

Source DB:  PubMed          Journal:  Int J Med Robot        ISSN: 1478-5951            Impact factor:   2.547


  4 in total

1.  Custom implant design for large cranial defects.

Authors:  Filipe M M Marreiros; Y Heuzé; M Verius; C Unterhofer; W Freysinger; W Recheis
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-06-29       Impact factor: 2.924

2.  In vitro cytotoxicity and surface topography evaluation of additive manufacturing titanium implant materials.

Authors:  Jukka T Tuomi; Roy V Björkstrand; Mikael L Pernu; Mika V J Salmi; Eero I Huotilainen; Jan E H Wolff; Pekka K Vallittu; Antti A Mäkitie
Journal:  J Mater Sci Mater Med       Date:  2017-02-14       Impact factor: 3.896

3.  Homogenous scaffold-based cranial/skull implant modelling and structural analysis-unit cell algorithm-meshless approach.

Authors:  V Phanindra Bogu; Y Ravi Kumar; Asit Kumar Khanra
Journal:  Med Biol Eng Comput       Date:  2017-05-05       Impact factor: 2.602

4.  A digital process for additive manufacturing of occlusal splints: a clinical pilot study.

Authors:  Mika Salmi; Kaija-Stiina Paloheimo; Jukka Tuomi; Tuula Ingman; Antti Mäkitie
Journal:  J R Soc Interface       Date:  2013-04-24       Impact factor: 4.118

  4 in total

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