A Novel Methodology for Improving Understanding of the Multiplanar Kinematics of the Human Cervical Spine

Abstract The biomechanics of the spine are naturally multiplanar, but their experimental characterization remains primarily conducted in pure moment bending in anatomical planes: Flexion-Extension (FE) in the sagittal plane, Lateral Bending (LB) in the coronal plane, and Axial Rotation (AR) in the transverse plane. This leaves the biomechanical behavior between anatomical planes under-characterized. Computational tools for evaluating spinal implants and surgical treatments, like finite element models, are validated by comparison to experimental spinal loading. Thus, they are only able to represent spine behavior that is characterized through testing. A novel testing protocol was developed using a six-axis industrial robot to apply multiplanar experimental loading trajectories to characterize the spine's multiplanar behavior. One postmortem cervical spinal specimen was loaded in combined FE and LB bending about the craniocaudal axis, capturing its multidimensional stiffness behavior at several hundred unique joint kinematic “poses” throughout the spine's physiologic range of motion. The multiplanar trajectories are designed to enable parameterization of spinal stiffness behavior at each pose to the joint kinematic pathway taken to achieve the pose. Visualizing the multiplanar behavior of the spine also reveals spinal movement patterns that are not visible in planar bending alone. This method has elucidated that spinal stiffness under multiplanar loading cannot be inferred exclusively from behavior in planar loading, and that directionality of spinal loading has an impact on stiffness behavior. This information can be incorporated into finite element models and other tools for more robust predictions for spinal health.

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Publication Details

Journal
Journal of Engineering and Science in Medical Diagnostics and Therapy
Published
2025-02-01
DOI
https://doi.org/10.1115/1.4067767
Citations
2
Primary Topic
Medical Imaging and Analysis
Type
article
Field-Weighted Citation Impact
1.35
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article

A Novel Methodology for Improving Understanding of the Multiplanar Kinematics of the Human Cervical Spine

Paul Marcet, Jonathan L. Wilson, Philip J. Brown, Benjamin S. Hezrony et al.
2 citations
Journal of Engineering and Science in Medical Diagnostics and Therapy
Medical Imaging and Analysis
1.35
article

A Novel Methodology for Improving Understanding of the Multiplanar Kinematics of the Human Cervical Spine

Paul Marcet, Jonathan L. Wilson, Philip J. Brown, Benjamin S. Hezrony, Emma Coltoff
article en
2 citations

Abstract

Abstract The biomechanics of the spine are naturally multiplanar, but their experimental characterization remains primarily conducted in pure moment bending in anatomical planes: Flexion-Extension (FE) in the sagittal plane, Lateral Bending (LB) in the coronal plane, and Axial Rotation (AR) in the transverse plane. This leaves the biomechanical behavior between anatomical planes under-characterized. Computational tools for evaluating spinal implants and surgical treatments, like finite element models, are validated by comparison to experimental spinal loading. Thus, they are only able to represent spine behavior that is characterized through testing. A novel testing protocol was developed using a six-axis industrial robot to apply multiplanar experimental loading trajectories to characterize the spine's multiplanar behavior. One postmortem cervical spinal specimen was loaded in combined FE and LB bending about the craniocaudal axis, capturing its multidimensional stiffness behavior at several hundred unique joint kinematic “poses” throughout the spine's physiologic range of motion. The multiplanar trajectories are designed to enable parameterization of spinal stiffness behavior at each pose to the joint kinematic pathway taken to achieve the pose. Visualizing the multiplanar behavior of the spine also reveals spinal movement patterns that are not visible in planar bending alone. This method has elucidated that spinal stiffness under multiplanar loading cannot be inferred exclusively from behavior in planar loading, and that directionality of spinal loading has an impact on stiffness behavior. This information can be incorporated into finite element models and other tools for more robust predictions for spinal health.

Journal of Engineering and Science in Medical Diagnostics and TherapyVol. 8(4)
Atrium Health Wake Forest Baptist (US), Virginia Tech - Wake Forest University School of Biomedical Engineering & Sciences (US), Wake Forest University (US)
Openalex Percentile: Top 23%
Medical Imaging and Analysis
1.35
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