In this study, for the first time, we performed voxel- and atlas-based DTI analysis along with high-resolution T2*-weighted imaging in subacute spinal cord injury (SCI) to investigate early micro- and macrostructural changes remote from the injury at C2/C3. Thereby, we aimed to test the predictive ability of early tract-specific degeneration for the chronic functional outcome. DTI and tissue area measurements between SCI patients and controls revealed demyelination in the dorsal columns, indicative of early anterograde degeneration of sensory tracts. Importantly, these early microstructural changes predicted 1-year functional recovery, demonstrating the clinical eloquence of early DTI measurements as a prognostic tool.
Although our knowledge on traumatic spinal cord injury (SCI) has improved dramatically over the past decades, still little is known about the degenerative changes occurring remote from the injury1. Experimental studies revealed early anterograde degeneration and subsequent retrograde degeneration of the sensory and motor tracts above and below the injury site2. However, these changes are yet to be shown in-vivo in subacute SCI patients.
Diffusion Tensor Imaging (DTI) has demonstrated great potential to detect white matter alterations during development and in pathological conditions3. While the vast majority of DTI studies are performed in the brain, recent developments in the imaging protocol and post-processing have made the adoption of DTI to the spinal cord possible4.
In this study, we applied spinal cord DTI along with T2*-weighted structural imaging to investigate above-level micro- and macrostructural changes at C2/C3 in subacute SCI patients. Compared to previous investigations involving acute/subacute SCI patients, our study benefitted from the enhanced spatial specificity allowed by tract- and voxel-based analysis, enabling us to probe the integrity of white matter in a tract-specific way. This allowed us, for the first time, to test the prognostic value of early, tract-specific DTI measurements for the 1-year functional recovery.
A total of 13 SCI patients (3 females, age (mean±std): 55.4±12.6 years) and 13 controls (3 females, age: 43.8±16.9 years) were scanned on a 3T Siemens SkyraFit system. Patients were scanned an average (±std) of 1.9±1.1 months after injury (Fig. 1). The functional outcome of the patients at 1 year was assessed using the ISNCSCI protocol5.
A T2*-weighted 3D multi-echo spoiled GRE image (Siemens MEDIC sequence) was acquired in the axial-oblique plane, centered at the lower edge of C2/C3 intervertebral disk. Following parameters were used: 10 slices, resolution=0.5x0.5x5mm3, FOV=192x162mm2, TE=19ms, TR=44ms, flip angle=11°, acquisition time=7:16min, 4 averages. The averaged image was segmented for spinal cord (SC) and gray matter (GM) using the sct_deepseg_sc and sct_deepseg_gm algorithms of Spinal Cord Toolbox (SCT)6. Based on these segmentations, cross-sectional areas of SC (SCA), GM (GMA), WM (WMA), and DC (DCA) averaged across slices were calculated.
The Diffusion Tensor Imaging (DTI) dataset was acquired using a cardiac-gated reduced-FOV single-shot spin-echo EPI sequence with identical slice prescription, and consisting of 60 diffusion-weighted (b=500s/mm2) and 7 T2-weighted (b=0s/mm2) images. Acquisition parameters were: resolution=0.76x0.76x5mm3, FOV=133x30mm2, TE=73ms, TR=350ms. The acquisition time was approximately 8min. After artifact correction, DTI scalar maps including fractional anisotropy (FA), mean diffusivity (MD), axial (AD) and radial diffusivity (RD) were obtained using the robust fitting algorithm in the ACID toolbox7. Subsequently, the DTI dataset was normalized to the PAM50 template using SCT8. Finally, an atlas-based analysis was performed to extract mean values from WM tracts.
Group-level differences of cross-sectional areas and DTI metrics were assessed using two-sample t-test (one-tailed, α=0.05). DTI metrics were compared voxel-wise using SPM, where p-values were corrected for multiple comparisons at a familywise-error rate of 0.05. Associations between cross-sectional areas, DTI metrics, and 1-year outcomes were assessed using Pearson’s linear correlation coefficient (p<0.05).
Compared to controls, SCI patients had a smaller SCA (p=0.039), WMA (p=0.025), and DCA (p=0.020) (Fig. 2). Atlas-based analysis revealed significantly lower FA in the left and right fasciculus gracilis of patients (p=0.011 and p<0.001, respectively), and in the whole dorsal column (p=0.024). RD was significantly lower in patients in the right fasciculus gracilis (p=0.005), while it showed a trend for lower values in the left fasciculus gracilis (p=0.059) and the whole dorsal column (p=0.098) (Fig. 3). Similarly, voxel-wise DTI analysis demonstrated spatially specific FA decrease and RD increase in the dorsal column of patients (Fig. 4). In terms of associations with function, AD in the dorsal column correlated with ISNSCI light touch (r=0.66, p=0.020) and pin-prick score (r=0.72, p=0.008) (Fig. 5).
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