Vk. Goel et Jd. Clausen, PREDICTION OF LOAD SHARING AMONG SPINAL COMPONENTS OF A C5-C6 MOTION SEGMENT USING THE FINITE-ELEMENT APPROACH, Spine (Philadelphia, Pa. 1976), 23(6), 1998, pp. 684-691
Study Design. A finite element model of the ligamentous cervical spina
l segment was used to compute loads in various structures in response
to clinically relevant loading modes. Objective. To predict biomechani
cal parameters, including intradisc pressure, tension in ligaments, an
d forces across facets that are not practical to quantify with an expe
rimental approach. Summary of Background Data. Finite element models o
f the cervical spine in their present form, because of inherent assump
tions and simplifications, are not entirely satisfactory for studying
the biomechanics of the intact, injured, and stabilized cervical spina
l segment. Methods. A three-dimensional finite element model of a C5-C
6 motion segment was developed from serial computed tomographic scans
of a ligamentous cervical spinal segment. This model included nonlinea
r ligament definition, fully composite intervertebral disc, fluid nucl
eus, and Luschka's joints. The model-based displacement predictions we
re in agreement with the experimental data. This model was used to pre
dict load sharing and other related parameters in spinal elements in r
esponse to various loading modalities. Results. In axial compression,
88% of the applied load passed through the disc. The interspinal ligam
ent experienced the most strain (29.5%) in flexion, and the capsular l
igaments were strained the most (15.5%) in axial rotation. The maximum
intradisc pressure was 0.24 MPa in the flexion with axial compression
mode (1.8 Nm + 73.6 N). The anterior and posterior disc bulges increa
sed with the increase in axial compression (up to 800 N). Conclusion.
The results provide new insight into the role of various elements in t
ransmitting loads. The model represents significant and essential adva
ncement in compression with previous finite element models, making it
possible for such models to be used in investigating a broad spectrum
of clinically relevant issues.