Abstract Objective: To study the biomechanical stability of a new screw-setting technique, we used cortical bone trajectory (CBT) in injury vertebra relative to the traditional pedicle screw-setting technique. Methods: We used thoracolumbar spine CT data of a healthy adult male volunteer and engineering data of internal fixation system of spine to simulate intact state, burst fracture state and combination of three kinds of internal fixation state of the spine: (1) 4 pedicle screws cross segment and 2 rods (P4); (2) 4 pedicle screws, 2 CBT screws at injured vertebrae and 2 rods (P4C2); (3) 6 pedicle screws and 2 rods (P6). Then we compared differences of the stability of the corresponding fixed system and stress distribution of fixation models of three groups above. Results: The total deformation of all nodes of the fracture spine model of P4C2 was less than the fracture spine model node group of P4 and larger than the fracture spine model node group of P6 during normal weight status, rotation(right), bending forward, stretch and lateral bending(right) state. The equivalent stress of all nodes of internal fixation system of P4C2 was smaller than the fixation model node group of P4 and bigger than the fixation model node group of P6 during normal weight status, rotation(right), bending forward, stretch and lateral bending(right) state. Conclusion: CBT technology for injured vertebra fixation could provide more stability of the vertebral body and reduce stress concentration of internal fixation system compared to the traditional P4 fixation.


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    Title :

    Technology of Cortical Bone Trajectory on the Influence of Stability in Fixation of Burst Fracture of Thoracolumbar Spine: A Finite Element Analysis


    Contributors:
    Wang, Jianping (author) / Gu, Juping (author) / Zhao, Jian (author) / Zhang, Xinsong (author) / Hua, Liang (author) / Zhou, Chunfeng (author)


    Publication date :

    2017-01-01


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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