Feng Wang1,2, Zhongliang Zu1,2, Tung-Lin Wu2,3, John C. Gore1,2,3, and Li Min Chen1,2
1Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, United States, 2Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States, 3Biomedical Engineering, Vanderbilt University, Nashville, TN, United States
Synopsis
Non-human
primates provide a valuable pre-clinical model for studying spinal cord
injuries. Here
we examine the fingerprints in the Z-spectra of abnormal tissues and cysts
surrounding the lesion site after spinal cord injury, regionally and longitudinally. Characteristic chemical exchange saturation transfer (CEST) and nuclear Overhauser enhancement (NOE) effects extracted from Z-spectra may enable the non-invasive
assessment of spontaneous recovery from traumatic injury.Target audience
Investigators who are interested in spinal cord injury
or CEST.
Background
The cellular and molecular compositions of
spinal cord tissues are affected by injury. Here
we report detailed changes in Z-spectra of abnormal areas around lesion sites
after spinal cord injury, both regionally and longitudinally. Spatial
correlations of Z-spectra were used to identify and describe molecular
disruptions in the spinal cord.
Methods
MRI acquisitions were obtained from anesthetized
squirrel monkeys (isoflurane 0.7-1.2%) at 9.4T. Four
monkeys underwent surgery to introduce unilateral dorsal column section at
C4-C5 spinal cord level, and they were scanned at different time points for up
to 24 weeks after the injury.
1 CEST
imaging was performed to obtain Z-spectra using a continuous wave (CW) (5.0 s, 1.0 μT) irradiation pulse followed by a
2-shot SE-EPI readout with TR of 7.5 s, TE of 17.6 ms, resolution at 0.5x0.5x1
mm
3, RF offsets varied from -2000 Hz to 2000 Hz with an interval of 80 Hz.
Reference scans were obtained with an RF offset of 100 kHz. A peak-fitting
algorithm was used to decompose Z-spectra into 5 overlapping Lorentzian-shaped
peaks from amide (I), amine (II), hydroxyl (III), free water (IV), and
aliphatic proton pools (V) around 3.5, 2.2, 1.2, 0 and -3.3 ppm RF offsets,
respectively (Fig. 1). Pearson correlation coefficient (PCC) was calculated
between Z-spectrum at each pixel and the averaged Z-spectrum of normal gray
matter (GM). Abnormal regions were identified as those pixels with Z-spectra showing
poor correlation with the average Z-spectrum from normal GM. The
abnormal regions were further separated into ROIs of distinct Z-spectra. Parametric maps were produced showing the distributions of each of the
proton pools based on their peak amplitudes.
Results
Figure 1 shows an anatomic
image and the correlation map of the Z-spectra in an injured spinal cord. Regional
molecular changes were observed on the lesion side in the PCC map (Fig. 1).
Compared to GM, amide, amine and hydroxyl CEST effects were strong while the
semisolid magnetization transfer (MT) and nuclear Overhauser enhancement (NOE)
effects were weak in regions identified as cystic. In addition, higher peak
amplitudes and narrower widths were observed for the large component of free
water in cysts. Abnormal tissues around the lesion site also showed different
Z-spectra compared to those of cysts and normal tissues. Different spectra were
observed for normal tissues (ROI 1), scar tissues (ROI 2), abnormal tissues
lateral (ROI 3) or caudal (ROI 4) to the lesion sites, and cysts (ROIs 5-7).
Longitudinally, all the subjects exhibited recovery from SCI with the shrinking
of the cysts (Fig. 2a), reduction of CEST effects, and increments of semisolid
MT and NOE effects at/around the lesion site (Fig. 2b). The histological sections
confirmed the formation of cysts in the injured spinal cord.
1Conclusions
Characteristic multi-pool features extracted
from Z-spectra may enable the non-invasive assessment of progression and spontaneous
recovery of spinal cord from traumatic injury.
Acknowledgements
We
thank Mrs. Chaohui Tang and Mr. Fuxue Xin of the Vanderbilt University
Institute of Imaging Science for their assistance in animal preparation and
care during MRI data collection. This study is supported by NIH grants
NS069909-01 to LMC and NS078680-01 to JCG.References
[1] Wang F, Qi HX, Zu Z, et al. Multiparametric MRI reveals
dynamic changes in molecular signatures of injured spinal cord in monkeys. Magn
Reson Med 2015;74:1125-1137.