Rajiv G Menon1, Preeti Raghavan2, and Ravinder R Regatte1
1Center for Biomedical Imaging, New York University School of Medicine, New York, NY, United States, 2Rusk Rehabilitation, New York University School of Medicine, New York, NY, United States
Synopsis
In this study, we evaluate the use of 3D-T1rho
(T1ρ) relaxation mapping
of the upper arm muscle glycosaminoglycan (GAG) content in healthy controls,
and post stroke patients with pre and post hyaluronidase injections. Healthy
controls (n=5) and post-stroke patients (n=5, pre and post treatment) were
recruited. Dixon based water-fat imaging
and T1ρ mapping were performed.
Mono- and bi-exponential modeling was used to process the data. While water-fat
distributions were not significantly different between the two groups, significant
differences were noted in T1ρ values using mono-
and bi-exponential analysis. T1ρ imaging shows significant changes that reflect the
reduction of GAG’s following the treatment with hyaluronidase injection.
Introduction
Following
a stroke, many individuals develop spasticity in muscles which is associated
with reduced functional independence and significant increases in health care
costs1. Spasticity develops as a result of central nervous system
injury2. In addition, secondary non-neural mechanisms may contribute
to upper limb muscle stiffness1 , but the mechanisms are not fully
understood. Hyaluronan, a high molecular weight glucosaminoglycan (GAG) acts as
a lubricant and facilitates normal movement in muscles. The hyaluronan
hypothesis proposed previously3 postulates that an increase in
hyaluronan in the extra-cellular matrix (ECM) of muscles may contribute to
muscle stiffness in patients with post stroke spasticity. It was recently shown
that off-label intramuscular injections of an FDA approved enzyme,
hyaluronidase, hydrolyzes hyaluronan and reduces muscle stiffness3. In
this study, Dixon based water-fat imaging and 3D-T1rho relaxation mapping of
upper arm muscles were used to determine intramuscular GAG content in healthy
controls and post-stroke patients, pre-and post hyaluronidase injections. Methods
Five
post-stroke patients (3 males, 2 females, age= 46 ± 15) and five healthy
control subjects (3 males, 2 females, age = 27 ± 2) were recruited and informed
consent was obtained. In patients, pre-injection MRI was conducted, followed by
the administration of intramuscular hyaluronidase injections (Hylenex, Halozyme
Therapeutics, Inc.). Finally, post-injection MRIs were conducted approximately
two weeks after the injections. For control subjects, there was a single MRI
scan. The MRI study was conducted on a 3T clinical scanner (Prisma, Siemens
Healthcare, Germany). A 3D turbo-FLASH sequence with a customized T1rho
preparation module was used to enable varying spin locks durations (TSL). A
paired self-compensated spin-lock pulse was used to minimize B0 and
B1 variations4. The sequence parameters included FOV=130
mm, matrix size=256x64x64, TR=1500ms, resolution = 0.5x2x2 mm2,
spin-lock frequency = 500Hz, 10 TSL durations = 2,4,6,8,10,15,25,35,45,55 ms.
acquisition duration = 10 minutes (Figure 2). The MRI body coil was used for
transmission, and two vendor supplied flexible receive array coils (8 coil
elements each) were wrapped around each arm for imaging. Additionally, Dixon
based method were used to separate fat and water distribution to investigate
fatty infiltration into the muscles.. The Dixon water/fat imaging parameters
included: TR=9.3ms, TE= (2.26, 3.08, 3.90) ms, FOV=180mm, Matrix size=128x128,
resolution=1.4x1.4 mm2, total acquisition time ~2 min.
The
mono-exponential T1r
decay was obtained by fitting the signal at different spin-lock durations for
each pixel:
$$S=Aexp\left(\frac{-TSL}{T_{1{\rho}m}} \right)+A_0,$$
The bi-exponential signal decay for each pixel was
calculated by fitting the same data by modeling as components of two separate relaxation
components as follows:
$$S=A_{s}exp\left(\frac{-TSL}{T_{1{\rho}s}} \right)+A_{l}exp\left(\frac{-TSL}{T_{1{\rho}l}} \right)+A_0,$$
Figure 1 summarizes the data acquisition and
processing pipeline. Two tailed student t-tests were used for comparing the
groups. A paired t-test was used for the pre- and post-injection comparison. A
P-value of less that 0.05 was considered significant.
Results
Following
the hyaluronidase injections
patients reported significant relief from muscle stiffness. Figure 2(a, b)
shows a representative T1ρ map in control subject and stroke patient respectively. Figure 2(c,d) show the
results from the Dixon water-fat imaging in controls and patients. Figure 2(e)
shows the mean and standard deviations of percent fat fractions in patients and controls. Panels A and B in figure
3 show the resulting T1ρ maps obtained using mono-exponential and bi-exponential fitting models of a
representative stroke patient with pre and post treatment with hyaluronidase
injections respectively. The graphs in figure 4 and 5 show the mean ± standard
deviations of the T1ρ numbers for control subjects and pre- and post-injection conditions in
patients. There were significant changes in a number of values between stroke patients
and control subjects. In the biceps, the T1ρm (P=0.042), and T1ρl (P=0.012) was significantly lower in controls. The
short and long fractions were significantly different from the patients too
(P=0.007). In the triceps, the T1ρs (P=0.041), and T1ρl (P=0.007) were significantly lower in controls. The
short and long fractions were also different in the controls (P=0.0001). Discussion and Conclusion
In
this study, we show that 3D T1ρ mapping of the muscle can be used to detect
intramuscular GAG content (hyaluronan) non-invasively. The short relaxation
component is related to the macromolecular (high molecular weight hyaluronan and collagen ) water
compartments while the long component is related to the loosely bound
macromolecular water (inflammation). Mono-exponential and bi-exponential
modeling of the data is useful to gain complementary insights regarding the
micro-environments resulting in muscle stiffness.Acknowledgements
This
study was supported by NIH grants R01-AR060238, R01 AR067156, and R01 AR068966,
and was performed under the rubric of the Center of Advanced Imaging Innovation
and Research (CAI2R), a NIBIB Biomedical Technology Resource Center (NIH P41
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