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Research

MRI T2∗ MAPPING TO ASSESS EARLY DEGENERATION OF THE INTERVERTEBRAL DISC IN A LARGE ANIMAL MODEL

8th Combined Meeting Of Orthopaedic Research Societies (CORS)



Abstract

Summary Statement

Conventional imaging techniques lack the ability to objectively assess early stages of intervertebral disc degeneration, characterised by glycosaminoglycan loss. This study shows that MRI T2∗ mapping correlates positively with GAG content and that it provides continuous measurements for disc degeneration.

Introduction

Early degenerative changes arise in the nucleus pulposus (NP) and are characterised by a loss of glycosaminoglycans (GAG). Early disc degeneration (DD) could possibly be treated with upcoming regenerative therapies (e.g. with stem cells and/or growth factors). In order to evaluate degeneration and treatments, a sensitive diagnostic tool is needed. While conventional magnetic resonance imaging (MRI) and x-ray techniques can detect late stages of DD, these techniques lack the ability to detect early degenerative changes. Recently, T2∗ mapping has been proposed as a new technique to evaluate early IVD degeneration, yet the correlation with GAG content and histological features has not been previously investigated. The objective of this study was to determine the value of T2∗ mapping in diagnosing DD by correlating this technique with the biochemical composition of IVDs.

Materials & Methods

Six caprine lumbar spines obtained from an in vivo study and two healthy goat spines from the local abattoir, encompassing a total of 48 IVDs, were examined using sagittal standard T2-weighted and T2∗ mapping MRI protocols at 1.5 Tesla. Regions of interest (ROIs) were drawn on the T2∗ maps, covering the IVD. Based on T2 weighted MRI, discs were morphologically classified using the Pfirrmann score. Histological and macroscopic features were evaluated based on grading scales adapted for goat DD. Finally, GAG content was determined using colorimetric analysis (DMMB assay). Correlations between variables were analysed using Pearson correlation (r) coefficients (parametric data) or Spearman's rho (ρ) coefficients (non-parametric data).

Results

The mean GAG content in the NP was 450 μg/mg dry weight (range 20–730 μg/mg dry weight) and the mean histological grade was 2.2 (range 0–6), corresponding with relatively mild disc degeneration. A linear positive correlation was observed between T2∗ and NP GAG content (r = 0.65, p < 0.001). T2∗ in the NP decreased linearly with increasing degeneration as assessed with macroscopic (ρ = 0.33, p < 0.05) and histological (ρ = −0.45, p < 0.05) grading, as well as with the Pfirrmann scoring system (ρ = −0.67, p < 0.001).

Discussion

T2∗ mapping is a relatively new MRI technique which allows for measurements on a continuous scale, is acquired in less time than T2 mapping and minimises observer bias compared to grading systems. Although limited by a small sample size (n=48), this study showed a relatively good, linear correlation between T2∗ and GAG content in the NP, suggesting that T2∗ mapping may be an efficient and reliable tool for the objective assessment of proteoglycan content in early DD. Furthermore, with minor software modifications, it can be implemented on a standard 1.5 Tesla clinical MRI scanner. Future research should aim at optimizing the efficiency and user-friendliness of the T2∗ mapping protocol as well as yielding an even stronger correlation between T2∗ mapping and glycosaminoglycan content in human IVD tissue.