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ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

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8. CONCLUSIONS<br />

Unsurprisingly, the disc and the facet joints have the greatest impact on the model response<br />

and need to be modeled as accurately as possible. An insufficiently modeled disc<br />

can therefore severely harm the predictive power of a spine model.<br />

Concerning the question about the meaningfulness of deterministic models, we can conclude<br />

that a model with a deterministic set of parameters is just that: A model of one<br />

specific spine. If calibrated and validated carefully, such models might be able to represent<br />

either a patient-specific or an “average spine”—at least, if one had enough measured<br />

data to validate against.<br />

Nevertheless, averages are purely statistical constructs, non-existent in reality. FE models<br />

will find differences between any slight modification of the model (well, up to machine<br />

precision). But does the difference matter? Likewise, an implant might perform<br />

better than implant in the model by some arbitrary factor. But is this factor—this effect—really<br />

relevant in relation to the wide scatter in the biomechanics of true human<br />

spines?<br />

Indeed, even for patient-specific models, were inter-individual variability can be neglected<br />

for obvious reasons, model parameters are still afflicted with some amount of<br />

measuring error and hence uncertainty, which must not be ignored, if a model's prediction<br />

shall meet certain reliability constraints.<br />

ACKNOWLEDGEMENTS<br />

This work was supported by the German Research Foundation (DFG Wi-1352/12-1),<br />

Bonn, Germany.<br />

9. REFERENCES<br />

1. Schmidt H, Heuer F, Drumm J, et al. Application of a calibration method provides<br />

more realistic results for a finite element model of a lumbar spinal segment. Clinical<br />

Biomechanics. 2007;22(4):377–384.<br />

2. Schmidt H, Heuer F, Simon U, et al. Application of a new calibration method for a<br />

three-dimensional finite element model of a human lumbar annulus fibrosus. Clinical<br />

Biomechanics. 2006;21(4):337–344.<br />

3. Wilke H-J, Wenger K, Claes L. Testing criteria for spinal implants: recommendations<br />

for the standardization of in vitro stability testing of spinal implants. European<br />

Spine Journal. 1998;7(2):148–154.<br />

4. Patwardhan AG, Havey RM, Meade KP, Lee B, Dunlap B. A follower load increases<br />

the load-carrying capacity of the lumbar spine in compression. Spine.<br />

1999;24(10):1003–1009.<br />

5. Shirazi-Adl A, Parnianpour M. Load-bearing and stress analysis of the human spine<br />

under a novel wrapping compression loading. Clinical Biomechanics.<br />

2000;15(10):718–725.<br />

6. Masharawi Y, Rothschild B, Dar G, et al. Facet orientation in the thoracolumbar<br />

spine: three-dimensional anatomic and biomechanical analysis. Spine.

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