Sensitivity of volumetric MRI and MRS to onset and progression of neurodegeneration
Dinesh K Deelchand1, James M Joers1, Adarsh Ravishankar2, Tianmeng Lyu3, Uzay Emir1,4, Diane Hutter1, Christopher M Gomez5, Khalaf O Bushara6, Christophe Lenglet1, Lynn E Eberly3, and Gulin Oz1

1Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 2School of Physics and Astronomy, University of Minnesota, Minneapolis, MN, United States, 3Division of Biostatistics, University of Minnesota, Minneapolis, MN, United States, 4University of Oxford, Oxford, United Kingdom, 5Department of Neurology, University of Chicago, Chicago, IL, United States, 6Department of Neurology, University of Minnesota, Minneapolis, MN, United States

Synopsis

The goal of this study was to combine MRS with volumetric MRI to determine the sensitivity of these two techniques to onset and progression of neurodegeneration in patients with early-moderate spinocerebellar ataxia type 1. Subjects were scanned at baseline and followed up at ~18 and ~36 months at 3T. Both MRI and MRS measures were found to be more sensitive to disease progression than standardized clinical scores. This study shows that volumetric MRI was most sensitive to disease progression while MRS might be more sensitive to detect the disease’s early stage.

Introduction

Spinocerebellar ataxia type 1 (SCA1) is an inherited movement disorder characterized by progressive degeneration of the cerebellum and brainstem1. It was recently demonstrated that volumetric MRI is more sensitive to disease progression in SCA1 than standardized clinical scores in a 2-year longitudinal study2. In addition, MRS was shown to detect highly significant differences in neurochemical profiles between patients with SCA1 and healthy controls3. As such, structural MRI combined with state-of-the-art MRS might provide a robust neuroimaging protocol to non-invasively and objectively monitor cerebral pathology. The aim of this study was to use MRS with volumetric MRI to determine the sensitivity of these two techniques to onset and progression of neurodegeneration in patients with SCA1.

Methods

16 early-moderate stage patients with SCA1 (genetically confirmed) and 21 healthy control subjects were enrolled in this study. All MR measurements were carried out on a 3 T Siemens scanner using the standard body coil for excitation and 32-channel head coil for reception. Subjects were scanned at baseline and followed up at ~18 and ~36 months. Ataxia severity was assessed at each visit with the Scale for the Rating and Assessment of Ataxia (SARA) score, which yields a composite ataxia score in the range of 0 (no ataxia) – 40 (most severe ataxia)4. T1-weighted MPRAGE images (TR=2530ms; TE=3.65ms; FA=7°; slice thickness=1mm; 224 slices; FOV=256×176 mm2; matrix size=256×256) were acquired to position the volume-of-interest (VOI). Proton spectra were acquired from 3 regions: cerebellar vermis, cerebellar hemisphere and pons in all subjects using the semi-LASER sequence5 (TE=28ms, TR=5 s, 64 averages). MRS spectra were processed in Matlab and quantified with LCModel as previously described6. Only metabolites that were reliably quantified (Cramér-Rao lower bounds ≤ 50% and correlation r>-0.5) from at least half of the spectra from a particular brain region were included in the final analysis. Intracranial, cerebellar, and brainstem substructures (medulla oblongata, pons, midbrain, and the superior cerebellar peduncles) volumes for each scan were obtained using Freesurfer7,8. Statistical analysis was performed by estimating a linear change (i.e. slope) in metabolite concentrations and in volumes in for each person (scaled by using their number of days from baseline) and then scaling relative to each person’s baseline value) to obtain their the “percent change per year.”. Mean value of these changes and the standard deviation (SD) within group are reported. The effect size2 which represents the ratio between mean %change to SD of %change is also reported.

Results and Discussion

Using structural MRI, the pontine volume decreased highly significantly over 3 years in SCA1 compared to control subjects (Figure 1): pons volume was reduced by 1.8±1.2 % (P<2e-6) per year (Figure 2). The largest effect size (Table 1) was observed for the pons (-1.54 vs. 0.33 in SCA1 vs. controls, respectively) among brain regions, indicating that this region is most sensitive to disease progression over time, consistent with the previous longitudinal MRI study2. With MRS, a significant reduction in [tNAA]/[Ins] (i.e. ratio of (N-acetylaspartate + N-acetylaspartylglutamate) to myo-inositol) was observed in SCA1 relative to controls (Figure 1) in all 3 regions studied, and the pons showed the largest sensitivity over 3 years based on an effect size of -0.84. The pontine [tNAA]/[Ins] was found to decrease by 4.0±4.8 % (P<0.02) per year in SCA1 patients (Figure 2). Both MRI and MRS measurements were more sensitive to disease progression than SARA scores (Table 1). Longitudinal changes in pontine volume, pontine [tNAA]/[Ins] ratio and SARA scores for all subjects are shown in Figure 3. Group separation was observed in all three measurements, except for the two pre-symptomatic SCA1 patients (SARA scores of ≤1) represented by the red and green lines in Figure 3. [tNAA]/[Ins] of one of the 2 pre-symptomatic subjects (green line) was clearly among SCA1 patients and below the lowest control [tNAA]/[Ins] across all 3 time points, starting at baseline, while the pons volume of this subject overlapped with control values at baseline. This observation suggests that MRS might be more sensitive to detect early changes in disease onset compared to structural MRI. The other presymptomatic subject (red line) showed no neurochemical or clinical signs of disease, but a pons volume at the low end of the control range.

Conclusion

Both volumetric MRI and MRS measurements at 3 T are more sensitive to progressive neurodegenerative changes than clinical assessment. In this study volumetric MRI was most sensitive to disease progression while MRS might be more sensitive to detect early disease.

Acknowledgements

Supported by NIH grants R01 NS070815, R01 NS080816, P41 EB015894 and P30 NS076408.

References

1. Taroni F and DiDonato S. Pathways to motor incoordination: the inherited ataxias. Nat Rev Neurosci. 2004; 5(8):641-55.

2. Reetz K, Costa AS et al. Genotype-specific patterns of atrophy progression are more sensitive than clinical decline in SCA1, SCA3 and SCA6. Brain 2013; 136(Pt 3):905-17.

3. Oz G, Hutter D et al. Neurochemical alterations in spinocerebellar ataxia type 1 and their correlations with clinical status. Mov Disord. 2010; 25(9):1253-61.

4. Schmitz-Hübsch T, du Montcel ST et al. Scale for the assessment and rating of ataxia: development of a new clinical scale. Neurology 2006; 66(11):1717-20.

5. Oz G. and Tkac I. Short-echo, single-shot, full-intensity proton magnetic resonance spectroscopy for neurochemical profiling at 4 T: validation in the cerebellum and brainstem. Magn Reson Med. 2011; 65(4):901-10.

6. Deelchand DK, Adanyeguh IM et al. Two-site reproducibility of cerebellar and brainstem neurochemical profiles with short-echo, single-voxel MRS at 3T. Magn Reson Med. 2015; 73(5):1718-25.

7. Fischl B, Salat D et al. Whole brain segmentation: Automated labeling of neuroanatomical structures in the human brain. Neuron 2002; 33(3):341-55.

8. Iglesias, JE, Van Leemput, K et al. Bayesian segmentation of brainstem structures in MRI. Neuroimage, in press.

Figures

Figure 1: Volumetric MRI and MRS from one SCA1 and one control subject. Reduced pons (red) and cerebellum (blue) volumes are clearly visible in SCA1 relative to control. Similarly pontine spectrum in SCA1 shows reduced tNAA and elevated Ins and tCr levels.

Figure 2: Mean percent change per year for the pontine volume (mm3) with volumetric MRI, pontine tNAA/Ins ratio with MRS and clinical SARA scores. Error bars represent SD within group. ‡ represents P < 0.02 between the two groups.

Figure 3: Longitudinal changes of pons volume (% total intracranial volume), [tNAA]/[Ins] ratio from pons and SARA scores for SCA1 and control subjects. Red and green lines represent the two pre-symptomatic patients with SCA1.

Table 1: Effect size of MRI, MRS and clinical measures in controls and subjects with SCA1.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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