New methodology to assess in-vivo quality of motion in cervical spine
Introduction
Each functional spine unit (FSU) is physically represented by the two adjacent vertebrae with the disc and ligaments intact, being the smallest unit representing the general mechanical behaviour in a given region of the spine (Wilke et al., 1998). The spine movement characterization at each FSU is a complex topic as such kinematics may not be effectively described by simple measurements of intervertebral rotation and translation alone. Measurement techniques can be used to characterize complex patterns of motion and identify abnormalities that might result in longer-term complications (Hipp and Wharton, 2008). The center of rotation (CoR) is a pertinent biomechanical parameter able to characterize the quality of motion as opposed to the quantity of motion usually represented by the range of motion (RoM) (Kim, 2015). While the RoM can assume variable values and its calculation depends on whether anteflexion or retroflexion X-Rays are being used, the CoR is independent and can be calculated with a small margin of error while assuming a regular value (Amevo et al., 1992). For each FSU, the CoR can be geometrically obtained by overlapping full flexion and full extension X-Ray pictures (Bogduk et al., 1995). There is a sole axis for each combination of translation and rotation of the vertebra, perpendicular to the plane of rotation, which represents the center around all the points of the vertebra that have no translation and are purely rotated to the new vertebra position (Sears et al., 2006). It is a mathematical concept, as it does not correspond to any biological structure, and its location is a summary of the forces acting on a segment, related to the center of reaction of a vertebra, its rotation and its translation (Bogduk et al., 1995).
However, CoR parameter interpretation has some particularities. Existing literature states that abnormal CoRs significantly correlate with neck pain, acting as an indicator of biomechanical changes that should not occur in asymptomatic persons, but the levels of abnormal CoRs did not match the segment which was the source of pain (Amevo et al., 1992; Dimnet et al., 1982; Mayer et al., 1985). Thus making it difficult to immediately detect the affected FSU, as it might be related to the fact that muscle spasm has the capacity to reduce range of motion and to alter CoRs (Amevo et al., 1992). While the CoR is a recognized and valid parameter, it is not commonly used in daily practice. Hipp and Wharton, 2008, calculated the CoR for each sub-axial cervical spine FSU, illustrating an idealized cervical spine with depicted ellipses for each level, representing the 95% confidence intervals of 129 asymptomatic individuals. The CoR for each FSU could be either inside the correspondent FSU ellipse or outside it, assuming different positions around it, making it hard to interpret. The difficulty of this is only increased when considering multiple FSUs along the spine. From a structural point of view, the cervical spine works as a whole system and, thus, its balance should be considered globally (Le Huec et al., 2015, Le Huec et al., 2018; Smith and Fernie, 1991).
Regarding cervical spine surgery, Anterior Cervical Discectomy and Fusion (ACDF) tend to be related to abnormal changes in the adjacent segments (Sears et al., 2006); At the other end of the scale, the biomechanical outcome (interaction between spine and implant) of Total Disc Replacement (TDR) and the balance of the spine as a whole system is influenced by the mechanical characteristics of the artificial disc (Sears et al., 2006). There is limited knowledge related to how TDRs and ACDFs influence the balance of the spine, either alone or combined (hybrid constructs).
Considering the importance of the CoR when describing the biomechanics of the spine and its complex interpretation, this paper introduces a novel parameter permitting an easier and clearer understanding of how far the CoR position is located from the desirable positioning range and the main reasons for such deviation. Additionally, an algorithm is defined as part of the proposed methodology to clarify not only the biomechanical behaviour pre-op but also the post-op contribution to the restoration of physiological cervical kinematics. The methodology was validated with a total of 20 in-vivo multilevel cases, a collection of TDRs only, or in combination with ACDF - hybrid multilevel constructs. The quality of motion was evaluated using the new parameter designated as Distance to the Ellipse (DE) which establishes a comparison between each functional spine unit CoR and the correspondent control group for each FSU (C2 to C7), together with the RoM at each follow-up visit, allowing us to understand the evolution of quantity and quality of motion.
The result is a tool that enables users to quickly access in-vivo the quality of motion of the cervical spine, so clinicians can easily detect any biomechanical imbalance therein, facilitating a deeper understanding of its possible causes while providing detailed information at each visit.
Section snippets
Methods
In order to implement a straightforward biomechanical evaluation, a new algorithm was developed, based on CoR position evaluated at each FSU, from C2–C3 to C6–C7, based on flexion-extension (FE) X-ray images (dynamic X-ray images) overlapping – Fig. 1, using validated software (Champain et al., 2006) - Spineview 2.4. The same validated software was able to provide translation, angle and alignment measurements with a global reproducibility error (for a 95% confidence interval) of ±2.2° for
Results
The algorithm is intended to deliver a straightforward tool for biomechanical data analysis. Fig. 3 presents an example of a chart developed using such a framework, intended for a quick diagnosis as it takes into consideration all the lower-to-mid cervical (C2–C7) distances as well as some extra information like:
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Vertical Axis:
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Left axis:
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Sum of all FSU DE (ΣDE) along lower-to-mid cervical (C2–C7) comparing the Pre-op and last follow-up (most recent follow-up≥9 months). This can provide an
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Discussion
Existing literature states that abnormal CoRs significantly correlate with neck pain but the levels of abnormal CoRs did not match the segment source of pain (Amevo et al., 1992; Dimnet et al., 1982; Mayer et al., 1985). Also muscle spasm has the capacity to reduce range of motion and to alter CoRs (Amevo et al., 1992). The use in clinical practice of the presented algorithm, with the CoR Group simplified classification and the DE, should facilitate the detection of imbalanced segments and,
Conclusions
Considering the importance of the CoR when describing the biomechanics of the spine, and their complex interpretation, this paper introduces a novel parameter permitting an easier and clearer understanding of how far the CoR position is from its desirable positioning range and the main reasons for such deviation. In addition, an algorithm is defined as part of the proposed methodology to clarify the biomechanical behaviour pre-op, and the post-op contribution to the restoration of physiological
Authors
F.P., P.R.F., J.X. and O.L.A. designed the research; F.P. performed the research; F.P. and O.L.A. analysed data; F.P., P.R.F., J.X. and O.L.A. designed the paper; F.P. wrote the paper.
Founding sources
This work was partially supported by FCT, through IDMEC, under LAETA, project UIDB/50022/2020.
Declaration of Competing Interest
We wish to confirm that there are no known conflicts of interest associated with this publication and there has been no significant financial support for this work that could have influenced its outcome.
Acknowledgements
The clinical data required for validation purposes was made available under the protocol between Instituto de Engenharia Mecânica e Gestão Industrial (INEGI) and Centro Hospital Vila Nova de Gaia (CHVNG).
Special thank you to Mariana Pinheiro Lopes with the writing, discussion and revision of this work and Tiago Figueira with some of the coding.
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