Yuhui Xiong1, Xiaodong Ma1, Xiaolong Chen2, Li Guan2, Yong Hai2, Zhe Zhang1, Le He1, Chun Yuan1,3, and Hua Guo1
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, People's Republic of, 2Department of Orthopedics, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China, People's Republic of, 3Vascular Imaging Laboratory, Department of Radiology, University of Washington, Seattle, WA, United States
Synopsis
As a conventional
method in spinal cord assessment in cervical spondylotic myelopathy (CSM)
patients, intramedullary high signal intensity (HSI) in T2W images is limited in
diagnosis accuracy and predictive capacity for postoperative recovery.
Single-shot EPI DTI can detect microstructural information, but it has low
image resolution and distortion. In this work, a multi-shot interleaved EPI DTI
using SYMPHONY reconstruction method is used to assess the pathologic conditions and the
function of spinal cords of CSM patients quantitatively. The results show that the
high resolution MS-EPI DTI can performs better than HSI or SS-EPI DTI in CSM
diagnosis and recovery monitoring.Purpose
Intramedullary high signal intensity (HSI) in T2-weighted (T2W)
images has been widely used in the spinal cord evaluation in cervical
spondylotic myelopathy (CSM) patients. However, it has discrepancies between
the actual clinical status and the imaging findings, which limits its diagnosis
accuracy and predictive capacity [1-4]. Diffusion tensor imaging (DTI) can
reveal functional and pathologic information of the spinal cord through
quantitative measurement of FA and ADC. Nonetheless, the conventional
single-shot echo planar imaging (SS-EPI) DTI has low resolution and
distortion. This study aims to propose an accurate quantitative evaluation
method to help diagnosis of CSM patients, and to investigate the DTI metrics
change after pressure release by operation. A navigated multi-shot EPI (MS-EPI)
DTI sequence was used for the data acquisition and a recently proposed k-space
phase variation correction method, SYMPHONY
[5], was used for the image reconstruction. In addition, the correlation
between the calculated DTI metrics and physical examination findings as well as
preoperative and postoperative clinical scores was studied to determine whether
DTI metrics are accurate predictors to CSM patients.
Methods
Neurologic Assessment All CSM patients were treated by anterior
cervical discectomy and fusion. Modified Japanese Orthopedic Association (mJOA)
scores were used for neurologic assessment of the severity of myelopathy, while
neck disability index (NDI) and visual analogue scale (VAS) scores were used to
evaluate the neck activities and the severity of their neck pain, respectively.
Recovery after surgery was calculated using a recovery ratio: (postoperative
mJOA score – preoperative mJOA score) / (17 – preoperative mJOA score)*100%.
Greater than 50% of recovery ratio was considered indicative of a good outcome,
whereas less than 50% was indicative of a fair outcome.
Data
Acquisition All scans were performed on a Philips 3.0T
scanner using a sixteen-channel SENSE neurovascular coil. Data were acquired from
seven patients (5 male, 2 female) with CSM. The study was approved by the IRB
of Beijing Chao-Yang Hospital. Before the surgery, sagittal T2W-TSE, axial
multi-echo T2W-FFE, SS-EPI DTI and 2D-navigated interleaved EPI were scanned on
each patient. The detailed scan parameters were listed in Table 1. Three months
after the surgery, all patients were scanned again using the same imaging
protocol.
Data
Processing The Multi-shot DTI data were
reconstructed using SYMPHONY. Afterwards, FA maps and eigenvalue
maps (λ1, λ2, λ3) were calculated using DtiStudio [6]. Based on the eigenvalue
maps, RD ((λ2+λ3)/2) and AD (λ1) were calculated. The sagittal T2W images were
used to identify intramedullary HSI positions, and then ROIs were drawn at the
same level of the HSI positions in b0 images, with the axial T2W images served
as references to distinguish the boundary of CSF and the spinal cord. DTI
metrics including FA, AD and RD were extracted from these ROIs. A paired,
double-tailed Student T test was used to assess the statistical significance of
these indices.
Results and Discussion
As shown in Fig. 1,
the high resolution MS-EPI DTI in the sagittal view has less distortion induced
by the metal implantation after the surgery compared with the SS-EPI DTI
(e), and also shows FA maps with more homogenous colors (f). Fig. 2 shows the
FA change between the preoperative and postoperative
images for the same patient shown in Fig. 1. The left panel (a1-3, b1-3) shows the zoomed images from Fig. 1 (yellow box). The SS-EPI FA maps
show strong artifacts, especially after surgery with metal implanted, and the
FA decrease should not be correct as the patient did have neurologic
improvement. In contrast, in MS-EPI DTI, the FA increased
to
normal values [7] in the lesion region after surgery and were the
same with those in normal regions, with suppressed artifacts.
Table 2 shows conventional
MRI findings and neurologic assessments of all patients. Six of seven patients got
a good outcome after the surgery therapy with the increased mean mJOA and the decreased VAS and NDI, while the intramedullary
HSI did not change much. Meanwhile, these six patients showed increased FA and
decreased AD and RD, which correlated with the neurologic assessment well. The
paired, double-tailed Student T test showed significant difference between
preoperative and follow-up assessment in Table 3. For normal regions, there
are no significant change before and after surgery.
Conclusion
Multi-shot
DTI can provide images with higher resolution, less distortion, and more accurate DTI metrics, so it can perform better than SS-EPI
DTI in CSM diagnosis and recovery monitoring. The DTI metrics form high
resolution DTI can reflect the pathologic conditions of spinal cord
quantitatively, and can potentially evaluate the function of spinal cords more
accurately than HSI in T2W images.
Acknowledgements
This work was supported by National
Natural Science Foundation of China (61271132, 61571258) and Beijing Natural Science
Foundation (7142091).References
[1] Mamata
H, et al. JMRI 2005;22(1):38-43. [2] Sampath
P, et al. Spine 2000;25(6):670-676. [3] Yonenobu
K. et al. European spine journal 2000;9(1):1-7. [4] Demir
A et
al. Radiology 2003;229(1):37-43. [5] Ma X et al. ISMRM 2015; p2799. [6]
Jiang H, et al. Computer
methods and programs in biomedicine 2006;81(2):106-116. [7] Facon D et al. AJNR American journal of neuroradiology
2005;26(6):1587-1594.