Cervical spine segment finite element model for traumatic injury prediction

Area of Science:

• Biomechanics
• Computational modeling
• Spinal injury research

Background:

• Detailed finite element models of the cervical spine are crucial for understanding neck injury mechanisms.
• Existing models primarily focus on kinematic response, with less emphasis on predicting tissue-level failure.
• Predicting injury thresholds requires accurate simulation of tissue behavior under various loading conditions.

Purpose of the Study:

• To verify and validate an enhanced cervical spine segment finite element model.
• To predict tissue-level failure under tension, flexion, extension, and compression loading.
• To assess the model's ability to predict injury mechanisms and thresholds.

Main Methods:

• Developed an enhanced finite element model of C4-C5 and C5-C6-C7 cervical spine segments.
• Incorporated mechanical tissue test data for relevant loading modes (tension, flexion, extension, compression).
• Used experimental data to define and model ultimate tissue failure.

Main Results:

• The model accurately predicted tissue-level failure locations consistent with reported cervical spine injuries.
• Predicted peak failure forces fell within established experimental corridors.
• Tension simulation displacement to failure was lower than expected in some instances, potentially due to constitutive model limitations.

Conclusions:

• The study presents a validated approach for predicting tissue-level failure in cervical spine segments.
• The model successfully predicts the location and sequence of tissue failure under different loading conditions.
• This validated model can be applied to full cervical spine models for predicting injurious loading in automotive crash scenarios.