Melissa Tamara Hooijmans1, Melissa Tamara Hooijmans1, Nathalie Doorenweerd1, Jedrek Burakiewicz1, Andrew Webb1, Jan Vershuuren2, Erik Niks2, and Hermien Kan1
1Radiology, Leiden University Medical Center, Leiden, Netherlands, 2Neurology, Leiden University Medical Center, Leiden, Netherlands
Synopsis
Quantitative MRI and
MRS are increasingly important as non-invasive and objective outcome measures
in therapy development for DMD. Several MR indices, have been shown to
correlate individually with age and functional measures. However, much less
attention has been given to how these indices relate to each other. Our work
combined quantitative MRI and spatially resolved 31P MRS in the
lower leg muscles of DMD patients and showed that combining multimodal MR
measures is very important to objectively assess muscle degeneration
processes and potentially the effect of therapeutic interventions in DMD.Abstract
Purpose: To assess the relationship between levels of energy
metabolites, water T2 values and the degree of fat infiltration in the leg
muscles of patients with Duchenne Muscular Dystrophy (DMD) and healthy
controls.
Introduction: Quantitative MRI
and MRS are increasingly important as non-invasive and objective outcome
measures in therapy development for DMD(1-4). While several MR indices such as
muscle fat fraction, water T2 relaxation time, phosphocreatine (PCr) levels and
phosphodiester (PDE) levels, correlated individually with age and functional
measures, much less attention has been given to how these indices relate to
each other. Recently, it was shown that the water T2 was decreased at 3 months
and 6 months after initiation with corticosteroid therapy, while %fat remained
unchanged(1), which highlights the fact that it is important to assess more
than just one aspect of muscle damage in DMD. 31P-MRS in DMD is
commonly performed using surface coil localization, making it difficult to
combine these results with spatially-resolved proton imaging. Here, we present
combined quantitative MRI and spatially-resolved 31P-MRS data of the
leg muscles in DMD to assess pathophysiological processes in a more systematic
manner.
Methods: Phosphorous MRS datasets were
acquired in the right lower leg of 18 DMD patients (9.18 ± 3.71 yrs.) and 12
healthy controls (9.7± 2.9 yrs.) using a 7T MR System (Achieva, Philips, Best,
the Netherlands) with a custom-built double tuned (31P and 1H)
volume coil. The protocol consisted of T1-weighted gradient echo images (15 slices;
resolution 0.9x0.9x7.0mm; slice thickness/gap 7/0.5mm; TR/TE 10/3.0ms; flip
angle (FA) 30°) and a 31P 2D Chemical Shift Imaging (CSI) dataset (10x10
hamming-weighted acquisitions; TR 2000ms; FA 45°; voxelsize 20x20 or 15x15mm
depending on leg size). On the same day, turbo spin echo images (17 echoes;
TR/TE/ΔTE 3000/8/8ms; resolution 1.4x1.8x10mm; slice thickness/gap 10/20mm; 5
slices; no fat suppression) and a 3-point Dixon sequence (23 slices; slice thickness/gap 10/5mm;
TR/TE/ΔTE 210/4.41/0.76 ms; two signal averages; FA 8°; resolution 1x1x10mm) were acquired on a 3T Ingenia MR
system with a 32 element receive coil. (Fig.1)
Data-analysis: Outcome measures were determined
for five individual lower leg muscles. MR spectra were analysed using AMARES in
the JMRUI software package(5). For each muscle the tissue pH and the levels of PDE,
inorganic phosphate (Pi), PCr and adenosine triphosphate (ATP) were determined.
Water T2 and fat fraction maps were generated using custom-built fitting
routines written in Matlab and presented as mean values over multiple slices aligned
with the 2D-CSI dataset(6-7). Group differences were assessed with a general
linear model, whereas the relation between energy metabolite levels, %fat and
water T2 were assessed with a Pearson correlation. Significance level was set
at p<0.05.
Results: Group analysis
showed significantly elevated Pi/PCr,
PDE/ATP, fat fractions, intracellular tissue pH and water T2 values in all
lower leg muscles of DMD patients compared to healthy controls. Positive correlations
were detected between Pi/PCr (r=0.35; p<0.0001), Pi/ATP(r=0.51; p<0.0001)
and PDE/ATP(r=0.56; p<0.0001) with %fat in DMD subjects. No correlations
were observed between water T2 and energy metabolite levels.
Discussion & conclusion: The changes in metabolite
ratios, fat fractions and water T2 are in agreement with previous work
assessing these pathophysiological processes individually(1-3). The positive
correlations of Pi/PCr, Pi/ATP and PDE/ATP with fat infiltration, suggest they
are linked to progressive muscle damage. These observations are in line with
previous work in the lower arm muscles of DMD patients(7). In contrast, tissue
pH was not correlated to %fat, which suggests that the more alkaline pH,
associated with a leaky membrane, could be a more constant anomaly already altered
from disease onset. The absence of correlations between the energy metabolites and
water T2 suggest that they reflect independent muscle degeneration processes. One
possible explanation for this could be that elevated water T2 is due to an
increase in extracellular fluid whereas energy metabolite levels are thought to
be strictly intracellular. In the disease cascade, it is thought that
persistent inflammation due to muscle damage eventually results in replacement
of muscle tissue with fat and fibrosis(8). Consequently, indices which are
sensitive to changes before fat replacement occurs are very valuable as it
seems unlikely that fat-replaced muscle tissue would revert back to normal. PDE
levels have been hypothesized to reflect phospholipid membrane degradation
products which in some situations showed to be reversible(9). Interestingly, PDE levels already appear to be elevated above
control values at low fat percentages, suggesting that these might reflect
muscle damage prior to the occurrence of fat infiltration. Overall, our results
show that multimodal MR measures are important tools to objectively assess
muscle degeneration processes and potentially the effect of therapeutic
interventions in DMD as well as making it possible to detect muscle
degeneration early on. Future work will aim to assess longitudinal multimodal
MR measures.
Acknowledgements
No acknowledgement found.References
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