Osteoporosis is a bone disease characterized by a low bone mass that may seriously lead to vertebral fractures. Nowadays, especially elderly people, are most vulnerable to this complication. Hence, it is essential to prevent and predict the high-risk of mechanical stress that causes bone fractures. In this paper, a new computational methodology is developed to prevent the increase in the risk of bone failure in osteoporotic cervical vertebra based on mechanical stress assessment. The cortical bone thickness and the trabecular bone density from computed tomography (CT) scan data are the main initial input parameters for the computation. The methodology is based on a combination of finite element (FE) modeling of the lower cervical spine and the design of experiment (DoE) technique to establish surface responses assessing mechanical stress in healthy and osteoporotic vertebrae. The results reveal that the mechanical stress applied to an osteoporotic cervical vertebra is higher by an average of 35% compared to a healthy vertebra, respecting the applied conditions. Based thereon, a safety factor (S) is introduced to predict and indicate the state of osteoporosis in the vertebra. A safety factor S ≥ 2.45 is found to correspond to a healthy state, 1.85 ≤ S < 2.45 for an osteopenic state, 1 ≤ S < 1.85 for an osteoporotic state, and S ≤ 1 to indicate a severe osteoporosis state. The developed computational methodology consists of an efficient tool for clinicians to prevent early the risk of osteoporosis and also for engineers to design safer prostheses minimizing both mechanical stress concentration and stress shielding.
The cervical spine is a structure subject to various vertebral injuries, namely, herniation of intervertebral discs and osteoporosis. Nowadays, several segments of society are vulnerable to these diseases that affect spine motion especially elderly people and women. Hence, various designs of cervical artificial discs are in use or under investigation claiming to restore the normal kinematics of the cervical spine. In this work, it is proposed to minimize the stress level by numerical size optimization in the Mobi-C cervical spine prosthesis to improve their biomechanical performances. For this aim, design of experiment (DoE) is employed as an optimization technique to investigate three geometrical parameters of the prosthesis design. Accordingly, DoE optimization allowed to minimize the equivalent stress value on Mobi-C from 20.3 MPa to 17.856 MPa corresponding to a percentage decrease of 12% from the original geometry. This provides an advantage for the durability of the prosthesis and also for the bone by reducing stress concentration.
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