In vivo evaluation of IVD strains is crucial to better understand normal and pathological IVD mechanics, and to evaluate the effectiveness of treatments. This study aimed to 1) develop a novel in vivo technique based on 3T MRI and digital volume correlation (DVC) to measure strains within IVDs and 2) to use this technique to resolve 3D strains within IVDs of healthy volunteers during extension. This study included 40 lumbar IVDs from eight healthy subjects. The optimal MR sequence to minimise DVC uncertainties was identified by scanning one subject with four different sequences: CISS, T1VIBE, T2SPACE, and T2TSE. To assess the repeatability of the strain measurements in spines with different anatomical and morphological variations four subjects were scanned with the optimal sequence, and uncertainties of the strain measurements were quantified. Additionally, to calculate 3D strains during extension, MRIs were acquired from six subjects in both the neutral position and after full extension.Background
Methods
Back pain will be experienced by 70–85% of all people at some point in their lives and is linked with intervertebral disc (IVD) degeneration. The aim of this study was to 1) compare 3D internal strains in degenerate and non-degenerate human IVD under axial compression and 2) to investigate whether there is a correlation between strain patterns and failure locations. 9.4T MR images were obtained of ten human lumbar IVD. Five were classed as degenerate (Pfirrmann = 3.6 ± 0.3) and five were classed as non-degenerate (Pfirrmann = 2.0 ± 0.2). MR Images were acquired before applying load (unloaded), after 1 kN of axial compression, and after compression to failure using a T2-weighted RARE sequence (resolution = 90 µm). Digital Volume Correlation was then used to quantify 3D strains within the IVDs, and failure locations were determined from analysis of the failure MRIs.Abstract
Objectives
Methods
The aim of this study was to evaluate near-infrared spectroscopy
(NIRS) as a continuous, non-invasive monitor for acute compartment
syndrome (ACS). NIRS sensors were placed on 86 patients with, and 23 without
(controls), severe leg injury. NIRS values were recorded for up
to 48 hours. Longitudinal data were analyzed using summary and graphical
methods, bivariate comparisons, and multivariable multilevel modelling.Aims
Patients and Methods
