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Biomechanical modelling of the facet joints: a review of methods and validation processes in finite element analysis

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BIOMECHANICS AND MODELING IN MECHANOBIOLOGY
卷 20, 期 2, 页码 389-401

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SPRINGER HEIDELBERG
DOI: 10.1007/s10237-020-01403-7

关键词

Facet joints; Validation; Variability; Finite element; Reproducibility

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Research indicates the need for more detailed descriptions of methods and thorough validation when modeling facet joints of the spine. Current issues include insufficient validation against baseline data and lack of information on pressure-overclosure law in soft contact models.
There is an increased interest in studying the biomechanics of the facet joints. For in silico studies, it is therefore important to understand the level of reliability of models for outputs of interest related to the facet joints. In this work, a systematic review of finite element models of multi-level spinal section with facet joints output of interest was performed. The review focused on the methodology used to model the facet joints and its associated validation. From the 110 papers analysed, 18 presented some validation of the facet joints outputs. Validation was done by comparing outputs to literature data, either computational or experimental values; with the major drawback that, when comparing to computational values, the baseline data was rarely validated. Analysis of the modelling methodology showed that there seems to be a compromise made between accuracy of the geometry and nonlinearity of the cartilage behaviour in compression. Most models either used a soft contact representation of the cartilage layer at the joint or included a cartilage layer which was linear elastic. Most concerning, soft contact models usually did not contain much information on the pressure-overclosure law. This review shows that to increase the reliability of in silico model of the spine for facet joints outputs, more needs to be done regarding the description of the methods used to model the facet joints, and the validation for specific outputs of interest needs to be more thorough, with recommendation to systematically share input and output data of validation studies.

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