Literature DB >> 24977245

Biomechanical aspects of the optimal number of implants to carry a cross-arch full restoration.

John B Brunski.   

Abstract

A proper definition of the 'optimal' number of implants to support a full arch prosthesis should go beyond solely a listing of the number of implants used in a treatment plan; it should be based upon a biomechanical analysis that takes into account several factors: the locations of the implants in the jaw; the quality and quantity of bone into which they are placed; the loads (forces and moments) that develop on the implants; the magnitudes of stress and strain that develop in the interfacial bone as well as in the implants and prosthesis; and the relationship of the stresses and strains to limits for the materials involved. Overall, determining an 'optimal' number of implants to use in a patient is a biomechanical design problem. This paper discusses some of the approaches that are already available to aid biomechanically focused clinical treatment planning. A number of examples are presented to illustrate how relatively simple biomechanical analyses - e.g. the Skalak model - as well as more complex analyses (e.g. finite element modelling) can be used to assess the pros and cons of various arrangements of implants to support fullarch prostheses. Some of the examples considered include the use of 4 rather than 6 implants to span the same arc-length in a jaw, and the pros and cons of using tilted implants as in the 'all-on-4' approach. In evaluating the accuracy of the various biomechanical analyses, it is clear that our current prediction methods are not always perfectly accurate in vivo, although they can provide a reasonably approximate analysis of a treatment plan in many situations. In the current era of cone beam computerised tomography (CT) scans of patients in the dental office, there is significant promise for finite element analyses (FEA) based on anatomically-accurate input data. However, at the same time it has to be recognised that effective use of FEA software requires a reasonable engineering background, especially insofar as interpretations of the clinical significance of stresses and strains in bone and prosthetic materials.

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Year:  2014        PMID: 24977245

Source DB:  PubMed          Journal:  Eur J Oral Implantol        ISSN: 1756-2406            Impact factor:   3.123


  3 in total

1.  Bone quality effect on short implants in the edentulous mandible: a finite element study.

Authors:  Chaowei Liu; Yifeng Xing; Yan Li; Yanjun Lin; Jianghan Xu; Dong Wu
Journal:  BMC Oral Health       Date:  2022-04-26       Impact factor: 3.747

Review 2.  Finite element analysis of dental implants with validation: to what extent can we expect the model to predict biological phenomena? A literature review and proposal for classification of a validation process.

Authors:  Yuanhan Chang; Abhijit Anil Tambe; Yoshinobu Maeda; Masahiro Wada; Tomoya Gonda
Journal:  Int J Implant Dent       Date:  2018-03-08

3.  Mechanical properties of resin glass fiber-reinforced abutment in comparison to titanium abutment.

Authors:  Mirko Andreasi Bassi; Rossella Bedini; Raffella Pecci; Pietro Ioppolo; Dorina Lauritano; Francesco Carinci
Journal:  J Indian Soc Periodontol       Date:  2015 May-Jun
  3 in total

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