Abstract

Bone metastases may lead to spine instability and increase the risk of fracture. Scoring systems are available to assess critical metastases, but they lack specificity, and provide uncertain indications over a wide range, where most cases fall. The aim of this work was to use a novel biomechanical approach to evaluate the effect of lesion type, size, and location on the deformation of the metastatic vertebra. Vertebrae with metastases were identified from 16 human spines from a donation programme. The size and position of the metastases, and the Spine Instability Neoplastic Score (SINS) were evaluated from clinical Quantitative Computed Tomography images. Thirty-five spine segments consisting of metastatic vertebrae and adjacent healthy controls were biomechanically tested in four different loading conditions. The strain distribution over the entire vertebral bodies was measured with Digital Image Correlation. Correlations between the features of the metastasis (type, size, position and SINS) and the deformation of the metastatic vertebrae were statistically explored. The metastatic type (lytic, blastic, mixed) characterizes the vertebral behaviour (Kruskal-Wallis, p=0.04). In fact, the lytic metastases showed more critical deformation compared to the control vertebrae (average: 2-fold increase, with peaks of 14-fold increase). By contrast, the vertebrae with mixed or blastic metastases did not show a clear trend, with deformations similar or lower than the controls. Once the position of the lytic lesion with respect to the loading direction was taken into account, the size of the lesion was significantly correlated with the perturbation to the strain distribution (r2=0.72, p<0.001). Conversely, the SINS poorly correlated with the mechanical evidence, and only in case of lytic lesions (r2=0.25, p<0.0001). These results highlight the relevance of the size and location of the lytic lesion, which are marginally considered in the current clinical scoring systems, in driving the spinal biomechanical instability. The strong correlation with the biomechanical evidence indicates that these parameters are representative of the mechanical competence of the vertebra. The improved explanatory power compared to the SINS suggests including them in future guidelines for the clinical practice.

Highlights

  • Among the neurological, oncologic, mechanical and systemic [1] diseases associated with the spinal metastasis, the evaluation of the spine stability plays a fundamental role due to the possible comorbid­ ities which could be triggered, such as the paralysis of patient

  • As we found that the percentage strain difference related to the metastasis type, the association between the size of the defect and the percentage strain difference was evaluated with linear correlation ana­ lyses, separately for the three types of metastases

  • The maximum and minimum principal strains and the shear strain maps were evaluated for all specimens in the metastatic and control vertebrae, in all loading conditions, except for ID1, ID19 and ID24 in flexion, ID19 and ID31 in pure compression, where the Digital Image Correlation (DIC) analysis was compromised by blood and

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Summary

Introduction

Oncologic, mechanical and systemic [1] diseases associated with the spinal metastasis, the evaluation of the spine stability plays a fundamental role due to the possible comorbid­ ities which could be triggered, such as the paralysis of patient. The SINS estimates the overall spine stability in case of metastasis considering five objective radiographic criteria (i.e. location of the metastatic vertebra(e) along the spine, bone lesion type, radiographic spinal alignment, vertebral body collapse and posterolateral involvement of the spinal elements) and a subjective patient symptom (i.e. the pain associated to movement/ loading of the spine). The size and position of the metastases, and the Spine Instability Neoplastic Score (SINS) were evaluated from clinical Quantitative Computed Tomography images. Correlations between the features of the metastasis (type, size, position and SINS) and the deformation of the metastatic vertebrae were statistically explored. Conclusion: These results highlight the relevance of the size and location of the lytic lesion, which are marginally considered in the current clinical scoring systems, in driving the spinal biomechanical instability. The improved explanatory power compared to the SINS suggests including them in future guidelines for the clinical practice

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