Abstract

Finite element modelling of the spinal unit is a promising preclinical tool to assess the biomechanical outcome of emerging interventions. Currently, most models are calibrated and validated against range of motion and rarely directly against soft-tissue deformation. The aim of this contribution was to develop an in vitro methodology to measure disc bulge and assess the ability of different specimen-specific modelling approaches to predict disc bulge. Bovine bone-disc-bone sections (N = 6) were prepared with 40 glass markers on the intervertebral disc surface. These were initially magnetic resonance (MR)-imaged and then sequentially imaged using peripheral-qCT under axial compression of 1 mm increments. Specimen-specific finite-element models were developed from the CT data, using three different methods to represent the nucleus pulposus geometry with and without complementary use of the MR images. Both calibrated specimen-specific and averaged compressive material properties for the disc tissues were investigated. A successful methodology was developed to quantify the disc bulge in vitro, enabling observation of surface displacement on qCT. From the finite element model results, no clear advantage was found in using geometrical information from the MR images in terms of the models’ ability to predict stiffness or disc bulge for bovine intervertebral disc.

Highlights

  • Back pain causes more disability than any other condition (James et al, 2018)

  • The nucleus pulposus (NP) volume computed from the magnetic resonance (MR) images ranged from 7 to 17% of the disc volume, with equivalent NP diameters between 26 and 41% of the corresponding annulus fibrosus (AF) average diameters

  • The experimental arm of this study presented a new methodology for examining 3D intervertebral disc (IVD) bulge under axial load

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Summary

Introduction

Back pain causes more disability than any other condition (James et al, 2018). While the specific causes are often unclear, changes to the structure and morphology of the intervertebral disc (IVD) are frequently implicated (de Schepper et al, 2010; Brinjikji et al, 2015). The development of new surgical interventions for the IVD have been hampered by the limitations in current preclinical testing methods. In vitro testing is challenging due to the hydrated nature of the tissues and natural variation that occurs between samples (Vadalà et al, 2015; Sikora et al, 2018). In silico finite element (FE) models are a promising preclinical testing tool, capable of targeting specific situations, organ/tissue behaviour, and accounting for population variation (Schmidt et al, 2007; Mengoni et al, 2016). There is potential for FE analysis to be used to examine nucleus

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