Qingbo Tang1,2, Yajun Ma1, Qun Cheng3, Jiang Du1, Paul Lu3, and Eric Y Chang1,4
1Radiology, UCSD Health, La Jolla, CA, United States, 2Research Service, Veterans Affairs San Diego Healthcare System, San Diego, CA, United States, 3Neuroscience, UCSD Health, La Jolla, CA, United States, 4Radiology Service, Veterans Affairs San Diego Healthcare System, San Diego, La Jolla, CA, United States
Synopsis
Keywords: Spinal Cord, White Matter
Motivation: To characterize the dynamic spinal myelin changes in rats following C5 hemisection lesions, and to monitor the efficacy of stem cells or other remyelination treatments
Goal(s): To detect myelin degeneration or regeneration in the spinal cord after SCI
Approach: The rats were imaged post-injury noninvasively and longitudinally with a UTE-MT sequence for MT ratio (MTR) measurement1. White matter was approximated by thresholding the MTR maps using values from the intact left (contralateral) side of spinal cord.
Results: A decrease in the white matter was observed on the right (ipsilateral) side caudal to the lesions, consistent with known myelin changes following spinal cord injury
Impact: Myelin changes in the rat spinal cord following hemisection
lesions can be monitored non-invasively and longitudinally with MT ratio measurement. Such techniques can
be used to detect myelin degeneration or regeneration in the spinal cord after
SCI.
Summary of Main Findings
Myelin in spinal cord white matter can be approximated by thresholding
the MTR maps, and its changes in the rat spinal cord following hemisection
lesions can be monitored non-invasively and longitudinally with reasonable
resolution to differentiate white matter from gray matter. Such techniques can
be used to detect myelin degeneration or regeneration in the spinal cord after
SCI.
Introduction
SCI causes myelin loss via degeneration of transected axons
and antidromic axonal degeneration. Meanwhile, remyelination may also occur
because of axonal sprouting of non-injured neurons, or axonal growth derived from
transplanted neural stem cells. These dynamic changes in myelin can be
potentially monitored with MR imaging. For example, quantitative two-pool
magnetization transfer (MT) modeling techniques have been utilized to evaluate tissue
changes in the brain2,3 and spinal cord4,5. In these studies, tissues from humans
and large animals were imaged with relatively low resolutions, and their
suitability for studying small rodent tissues has not been demonstrated.
We adapted a MT prepared ultrashort echo time (UTE-MT) sequence
for MT ratio (MTR) measurement1 to quantify white matter changes in
the spinal cord following spinal C5 hemisection lesions. Our goal was to
develop a protocol that can noninvasively and longitudinally monitor the dynamic
changes in white matter in the spinal cord following injury or subsequent therapy
with reasonable resolution that can be practically achieved in intact rats.
Methods
Right lateral C5 spinal cord hemisection lesions were
performed in five adult female Fisher 344 rats, and two additional rats without
injury were used as controls. Rats were imaged at 2-, 8-, 14-, and 20 weeks postinjury. All imaging was performed on a 3-T MRI scanner
(Bruker BioSpec 3-T, Billerica, MA, USA) using an 82 mm volume coil for
transmission and a 30 mm surface coil for reception.
Figure 1 shows
the sequence diagram of the 3D UTE-MT sequence. A Fermi-shaped pulse
(duration = 8 msec and bandwidth = 160 Hz) was used to generate MT contrast
with three different flip angles (FAs) of 1500°, 800° (MT on) and 0° (MT off),
and a frequency offset of 1500 Hz. The detailed sequence
parameters were field of view (FOV) = 24×24×84
mm3, matrix = 120×120×120, resolution = 200×200 ×700 µm3, TR/TE = 76/0.026 ms, Nsp = 9, τ = 7.6
ms, FA = 10°, bandwidth = 25 kHz, NEX = 3, and the total scan time = 60min. In
addition, a product stimulated echo based B1 mapping sequence was also scanned
to correct the B1 inhomogeneity of MTR measurement6.
The MTR
values were calculated with MATLAB (The MathWorks Inc., Natick, MA, USA) using
the following equation:
MTR_1500 =
(MT_0 – MT_1500) / MT_0 [1]
and
MTR_800 = (MT_0
– MT_800) / MTR_0. [2]
MTR_corr = (MTR_1500
+ MTR_800)/2 + 1.64(1 – B1) · (MTR_1500 - MTR_800) [3]
The MT_0, MT_800
and MT_1500 were the UTE signals with MT saturation flip angles of 0°, 800°,
1500°, respectively. The MTR_corr is the final B1 corrected MTR map used for
data analysis6.
Results and Discussion
Figure 2 shows MTR mapping from one rat at different
spinal cord levels and time points post-injury. The gray matter has slightly lower
MTR than the white matter, which can be segmented by thresholding the MTR map
using the average MTR of the intact left side of the same slice. Note the
gradual decrease in the white matter of the right side of the spinal cord
following right lateral hemisection lesions.
Figure 3 shows that lesion leads to a small decrease in MTR
in the ipsilateral side of the spinal cord caudally.
Figure 4 shows area of myelin (white matter) in the
ipsilateral side of the spinal cord caudal to lesion decreased gradually
following C5 hemisection compared with the corresponding contralateral side.
Conclusion
The 3D UTE MT imaging protocol can differentiate white
matter and grey matter, enabling the in vivo characterization of dynamic spinal
myelin changes in rats following C5 hemisection lesions, and has potential to
monitor the efficacy of stem cells or other remyelination treatments post spinal
cord injury. Acknowledgements
The authors acknowledge grant support from VA Research and Development Services (I01BX005952, I01CX001388, 1 I01 RX003776-01A2 , and I01RX003776) and the National Institutes of Health (R01AR079484, R01AR075825, R01AR068987, and RF1AG075717 ).References
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