Diagnostic accuracy of MRS for Hereditary Neurodegeneration at 3T and 7T
Uzay E Emir1,2, Tianmeng Lyu3, Dinesh K Deelchand2, James M Joers2, Diane Hutter2, Christopher M Gomez4, Khalaf O Bushara5, Lynn E Eberly3, and Gulin Oz2

1FMRIB Centre, University of Oxford, Oxford, United Kingdom, 2Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, United States, 3Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, United States, 4Department of Neurology, University of Chicago, Chicago, IL, United States, 5Department of Neurology, Medical School, University of Minnesota, Minneapolis, MN, United States

Synopsis

To evaluate diagnostic accuracy of state-of-the-art MRS in early neurodegenerative disease, we measured neurochemical profiles in the vermis, cerebellar hemisphere and brainstem of genetically confirmed subjects with spinocerebellar ataxia type 1 and controls by 3T and 7T 1H MRS. Concentrations of major metabolites obtained at 3T and 7T were strongly correlated. While 3T showed great potential by enabling detection of abnormal metabolite levels even in the presymptomatic stage, the increased sensitivity at 7T enabled group separation with higher significance and identification of subtle neurochemical alterations in early symptomatic disease stage more robustly than at 3T.

Introduction

In the post-genomics era movement disorders research is shifting toward more specialized clinical trials that subdivide patients into groups based on molecular characteristics. In other words, personalized medicine promises specialized therapies for each individual by delivering more effective drug treatments, while avoiding or reducing adverse drug reactions. Hereditary spinocerebellar ataxia type 1 (SCA1), a polyglutamine movement disorder, was the first SCA for which the genetic defect was uncovered (1). As potential treatments for SCA1 enter the pipeline, robust, noninvasive biomarkers of cerebral pathology are urgently needed for early diagnosis, monitoring of treatment and post-treatment evaluation. A prior MRS study demonstrated neurochemical alterations in SCA1 using a 4T research scanner (2). With wide availability of 3T and increasing availability of 7T scanners for clinical research and trials, a need arises to establish the added value of the ultra-high field (7T) relative to high field (3T). Therefore, here we compared the sensitivity of single-voxel, short-echo MRS using a FASTMAP+semi-LASER protocol at 3T vs. 7T to distinguish genetically confirmed subjects with SCA1 at early-moderate disease stage from age and gender frequency-matched controls. Specifically, we evaluated the ability of the protocol to make a diagnostic decision on a single subject basis.

Methods

18 individuals with early-moderate SCA1 (age 50.9 ± 10.2 years, mean ± SD, 8M/10F, Scale for the Assessment and Rating of Ataxia (SARA) score, 9.0 ± 3.5) and 29 age range matched healthy volunteers (53.3 ± 15.1 years, 13M / 16F, SARA, 0.1 ± 0.2) were studied. Two patients were presymptomatic (SARA=0-1). Subjects were scanned at both 3T and 7T (Siemens) on consecutive days. Spectra were acquired from the vermis (10 x 25 x 25 mm3), cerebellar hemisphere (17 x 17 x17 mm3) and pons (16 x 16 x 16 mm3) using a semi-LASER sequence (TR=5s, TE= 26-28ms, NEX=64) with VAPOR water suppression and outer volume saturation (3). Metabolites were quantified with LCModel (4) using the unsuppressed water signal as reference. Only those measured reliably (Cramér Rao lower bounds < 50%, cross correlation coefficients r > -0.5) from more than half of the spectra at a given field strength and subject group were reported. Concentrations were corrected for the amount of CSF present in each VOI. Finally, the quantified metabolites from all brain regions were used as an input to distance-weighted discrimination (DWD) for classification (5). Leave-one-out Cross-Validation (LOOCV) was used to correct for overfitting when estimating the mis-classification rate.

Results and Discussion

Spectra with good signal-to-noise ratio and spectral resolution were consistently obtained from both patients and controls at 3T and 7T (Fig. 1). The spectral quality enabled the quantification of a neurochemical profile consisting of 15 metabolites in the vermis and cerebellar hemisphere and 13 in the pons at 7T (Fig. 2). Concentrations of major metabolites (total NAA (tNAA), total choline (tCho), total creatine (tCr), myo-inositol, Glutamate+Glutamine) obtained at 3T and 7T were strongly correlated (r2 = 0.86, p <0.001). Higher myo-inositol and tCr and lower tNAA were detected in patients at both magnetic fields, in agreement with previous findings (2). The projection space plot of the DWD classifier showed a distinct clustering with almost complete separation between SCA1 and controls at both fields, except for two patients who were misclassified at 3T, one of whom was again misclassified at 7T (Fig. 3). The subject who had the smallest SARA among symptomatic patients was incorrectly classified at 3T, but correctly classified at 7T. One presymptomatic patient, who did show neurochemical (high tCr and myo-Inositol and low tNAA) signs of disease was correctly classified with the SCA1 group at both fields, while the other presymptomatic individual who effectively had no signs of disease onset, both from the neurochemical and clinical perspective, was classified as control at both 3T and 7T. In addition, the improved sensitivity and resolution at 7T resulted in a higher significance level for group separation than 3T (7T: t = 9.2, p-value = 4.7e-09; 3T: t = 8.5, p-value = 1.8e-08). Finally, the DWD score significantly correlated with the SARA score for patients pooled with controls at both fields (Spearman r=0.8, p<0.0001). In conclusion, the increased sensitivity at 7T enabled group separation with higher significance and identification of subtle neurochemical alterations in early symptomatic disease stage more robustly than at 3T, while 3T showed great potential by enabling detection of abnormal metabolite levels in an individual in the presymptomatic disease stage. Furthermore, the demonstration of a high correlation between MRS and clinical scores supports a role for the methodology in clinical applications at both magnetic fields.

Acknowledgements

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

References

1. Orr HT, Chung MY, Banfi S, Kwiatkowski TJ, Jr, Servadio A, Beaudet AL, McCall AE, Duvick LA, Ranum LP, Zoghbi HY. Expansion of an unstable trinucleotide CAG repeat in spinocerebellar ataxia type 1. Nat Genet. 1993;4:221-226.

2. Oz G, Hutter D, Tkac I, Clark HB, Gross MD, Jiang H, Eberly LE, Bushara, KO, Gomez CM. Neurochemical alterations in spinocerebellar ataxia type 1 and their correlations with clinical status. Mov. Disord. 2010;25:1253-1261.

3. 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;65:901.

4. Provencher, SW. Automatic quantitation of localized in vivo 1H spectra with LCModel. NMR Biomed. 2001;14:260-264.

5. Marron JS, Todd MJ, Ahn J. Distance-weighted Discrimination. JASA. 2007;102:1267-1271.

Figures

Figure 1. 1H MR spectra obtained with semi-LASER from all brain regions of one patient with SCA1 and one control at 3T and 7T.

Figure 2. Neurochemical profiles obtained reliably in patients and controls at 3T and 7T. Error bars are standard deviations. Metabolites that were significantly different between the two groups at both magnetic fields are marked with *p<0.01

Figure 3. DWD score (distance of the individual from the separating hyperplane) showing the clear separation of patients from controls based on their metabolite profile at both 3T and 7T. Metabolite profiles included all quantifiable metabolites from all three regions.



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