Sampada Bhave1, Marjorie C Wang1, Matthew D Budde1, and Kevin M Koch1
1Medical College of Wisconsin, Milwaukee, WI, United States
Synopsis
Surgical repair of the cervical
spinal cord to correct instability induced through trauma or degenerative
disease often precludes follow-up MRI due to severe artifacts caused by metal
stabilization hardware. Postoperative
imaging is essential to monitor the hardware positioning, disease progression
and new complications that may occur after surgery. In this study, we
investigate the imaging capabilities of the recently developed multi-spectral
diffusion weighted PROPELLER technique within the spinal cord immediately
adjacent to metallic instrumentation. In addition, we assess the quantitative
stability of this approach relative to other conventional methods in cohort of
normal controls.
Introduction
Spinal
fusion hardware is used in surgical procedures to treat several degenerative
cervical spinal cord diseases like cervical spondylosis, fractures and bone
abnormalities [1]. Quantitative metrics provided by Diffusion Tensor Imaging (DTI),
such as apparent diffusion coefficient (ADC) and fractional anisotropy (FA) can
help detect the severity of the spinal cord injury [2]. DTI are traditionally
acquired using full field of view (FOV) single shot echo planar imaging (EPI)
sequences or reduced field of view (rFOV) EPI sequences [3]. Both conventional
approaches lack the ability to image near metal implants, due to the severe
susceptibility artifacts that result in such images. Recently, a multi-spectral
diffusion imaging scheme using the non-Cartesian periodically rotated
overlapping parallel lines with enhanced reconstruction (PROPELLER) technique
was introduced to acquire diffusion images near metal implants in
musculoskeletal applications [4]. In this work, we demonstrate the feasibility
and applicability of this approach to image the spinal cord in the immediate
vicinity of fusion hardware.Methods
The
MSI-PROPELLER technique was compared to the traditional EPI and rFOV EPI (FOCUS-EPI
sequence from GE Healthcare, Milwaukee) techniques in normal controls without
any implants and with FOCUS-EPI in instrumented myelopathy patients. Data from
a cohort of 5 normal controls without any implants or history of any spinal
injuries and 5 patients with post-surgical follow up of Cervical Spondylotic
Myelopathy (CSM) were collected. 4 of the 5 patients received spinal fusion
with bilateral screws across 4 or 5 posterior segments while 1 patient received
fusion with anterior screws in 2 segments. 2 datasets with b=350 s/mm2
and b=600 s/mm2 was acquired for each of the three techniques in
case of normal controls. The imaging parameters were: field of view=12cm,
matrix size = 64x64, slice thickness=3 mm, diffusion directions=3, TR=4s for
EPI and FOCUS-EPI and a TR=2s for MSI-PROPELLER and, in-plane resolution:
1.875mm. 3 spectral bins were acquired for the MSI-PROPELLER technique. For
instrumented myelopathy patients, one T2 weighted (b=0) and 3
diffusion-weighted (b=350s/mm2) images in x, y and z directions were
acquired. The matrix size for FOCUS-EPI was 84x84 resulting in an in-plane
voxel resolution of 1.43mm. Apparent diffusion coefficient (ADC) maps were
calculated using a mono-exponential diffusion model.Results
Fig 1 shows the DWI
acquisition for a patient with bilateral screws in the 4 posterior segments. The
FOCUS-EPI technique suffers from in-plane as well as through plane distortion
and artifacts in the spinal cord (region in white box) due to its proximity to
screws as seen in Fig 1d. The combination of off-resonant and on-resonant multi-spectral
data in MSI-PROPELLER (Fig 1e) yields artifact free image of the spinal cord. The
distribution of mean ADC values in the spinal cord for the normal control cases
obtained using EPI, FOCUS-EPI and MSI-PROPELLER for both b values and instrumented
cases is shown Fig 2. The mean ADC obtained from b=350s/mm2 dataset
is higher than the one obtained from b=600s/mm2 for all the methods.
The mean ADC values are very close to each other for b=600s/mm2
which demonstrates the accuracy of the technique. Fig 3 shows the ADC maps for
the instrumented cases. There is greater variability in the ADC values in the
instrumented cases which could be an indication of the severity of the cord
injury. For example, the case with the
highest ADC value appears to have cord compression on the Axial T1. The
FOCUS-EPI method is unusable due to severe artifacts whereas MSI-PROPELLER yields
artifact free images of the cord. The case with very high ADC (Fig 3b) could be
indicative of edema whereas the one with low ADC (Fig 3d) could indicate
restriction.Discussion
Although
the MSI PROPELLER technique improved visualization of the spinal cord compared
to DWI-EPI, there are some limitations. At low b values, other gradients like
the slice select gradient might also affect the signal weighting which could
result in the elevated ADC in the MSI-PROPELLER technique. However, this can be
accounted for in b value calculations in future. The accuracy of the ADC
estimation and its correlation with underlying pathology and neurological
status needs to be further validated on a larger cohort of patients with spinal
instrumentation. Conclusion
In
this work, we have demonstrated the feasibility of MSI-PROPELLER technique to
acquire DWI in the cervical spinal cord near fixation hardware. The comparison
of MSI-PROPELLER with EPI and FOCUS-EPI in normal controls validated the
applicability of MSI-PROPELLER technique in imaging cervical spinal cord.Acknowledgements
Research reported in this publication was
supported by Daniel M Soref Charitable Trust and NIH R21EB023415-01A1. The content is solely the
responsibility of the authors and does not necessarily represent the official
views of the NIH. References
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