Multicenter MRS/MRSI Studies: What to Do & How
Eva-Maria Ratai1,2
1Radiology/ A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Harvard Medical School, Boston, MA, United States

Synopsis

Imaging biomarkers may be used to help identify the natural history of disease progression, monitor therapeutic response, and identify side effects. 1H MRS offers the unique ability to measure metabolite levels in a non-invasive manner and has been widely used to access metabolisms in the brain, muscle, liver, prostate, breast, kidney, etc. However, MRS has only infrequently used in multi-center clinical trials. Here we discuss the potential and limitations of the techniques and suggest recommendations for the application of MRS to multi-center clinical trials.

Motivation

In clinical trials, clinical outcome assessment measures, such as the patient’s symptoms, are often the primary outcome measures. However, they usually lack sensitivity especially in the early stages of the disease, have poor test–retest reliability [1] and require long clinical trials with large sample sizes [2]. Therefore, clinical assessment measures should be supplemented with non-invasive neuroimaging biomarkers to help identify populations for a study, monitor therapeutic response, and identify side effects.

Basics of MRS examination

1H MRS offers the unique ability to measure metabolite levels in a non-invasive manner and has been widely used to assess metabolisms in the brain, muscle, liver, prostate, breast, kidney, etc. Typical metabolites that can be detected include: N-acetylaspartate (NAA), a marker of neuronal density and viability; creatine/phosphocreatine (tCr), a marker for bioenergetics; choline-containing compounds, membrane markers related to tumor malignancy; and lactate (Lac), produced by anaerobic glycolysis. MR spectra acquired with short echo times are characterized by additional resonances from myo-inositol (mI), a proposed neuroinflammatory marker, and glutamate/glutamine (Glx), an excitatory neurotransmitter and its precursor. In the past several years the metabolite 2-Hydroxyglutarate (2HG) has received much attention as an oncometabolite [3, 4].
1H MRS has been used to improve diagnosis, to better define the natural history of a disease process, and, in some studies, to monitor metabolic responses to therapy [5]. Despite its potential to provide meaningful biomarkers for disease progression and metabolic response to therapy, there is a wide notion that MRS is difficult to implement within clinical workflow and lacks both sensitivity and specificity [6]. The presentation will discuss several prior clinical trials, their outcomes and limitations.

Preparation for multi-center clinical trials

Prior to the trial, investigators will need to establish the cohort of participants, the clinical outcome measures, and which biomarker/metabolite can be used to objectively track the disease-related biological changes. For drug studies, one needs to establish the expected effect size and the potential adverse events of the agents to be tested.

Generalizability:
An important factor is the generalizability of outcomes. Prior studies which established efficacy were often derived from a single imaging center, utilizing highly advanced image acquisition, analysis software, and expertise not easily available in a clinical setting [2]. In contrast, most therapeutic trials are performed in a multi-center setting, combining data from a variety of MR scanners from different vendors, different field strengths, and potentially acquired with different MRS sequences. Thus, when choosing sites for a clinical trial, investigators need to find out in advance the participating sites’ infrastructure, resources, and capabilities in terms of vendors, MRI field strengths, RF coils, available pulse sequences, and expertise at the sites (e.g. will an MR Physicist / MR Spectroscopist or dedicated MR technologists perform the MRI/MRS scans?)

Harmonization:
Usage of multiple scanners necessitates harmonization of data acquisition and analysis protocols between centers and, most importantly, stringent quality control. Important considerations include:
i) Single voxel spectroscopy (SVS) vs. 2D/3D MRSI: SVS is appropriate for investigation of focal lesions, specific anatomical regions, or diffuse brain diseases. However, MRSI is preferred when multiple areas need to be evaluated simultaneously, e.g., heterogeneous tumor lesions [7].
ii) In order to reassure consistent repositioning of the MRS volume of interests (VOIs) between scans, the distribution of training material is important. Recently, more sophisticated methods (e.g. Auto VOI [8]) using automated positioning and alignment of anatomical landmarks to reproducibly place VOIs are available or are currently investigated.
iii) The choice of echo time (TE) depends on the question being asked. Intermediate TE (135 to 144 ms) spectra may result in fewer metabolites, however, they have less baseline distortion, are easy to process and analyze and the lactate resonance is inverted, which makes it easier to differentiate from lipids/macromolecules. On the other hand, short TE demonstrates peaks attributable to more metabolites, including glutamine, glutamate, myo-inositol lipids and macromolecules. Recently, a TE of 97 ms has been identified as optimal for the detection of 2HG [3, 4].
iv) Other parameters to be decided on beforehand include repetition time (TR), number of averages, and of course VOI size.

Quality Control

To assess test-retest reproducibility (intra-site variability) and inter-site variability, phantom measurements and healthy control subject measurements (ideally a traveling human phantom if the budget allows) can be incorporated [9, 10].

Analysis

The data analysis should be performed at one central site by one software, making sure of consistent pre-processing of data (e.g. Eddy current compensation, Filtering, Zero filling, Fourier Transformation, Phase correction, Baseline correction).
In vivo quantification of metabolite concentrations can be challenging when attempting absolute quantification. Although the normalization to creatine or water may not be perfect, it can offer a practical compromise for multi-center studies.

Examples

The presentation will discuss the speaker’s personal experience with multiple multi-center clinical trials in which MRS was used as an endpoint for the evaluation of neurodegenerative disorders such as spinal cerebellar ataxia (Figures 1 and 2) [11,12] and the evaluation of anti-angiogenic therapy in recurrent glioblastoma (Figure 3) [13].

Conclusion

In conclusion, if carefully conducted, MRS can be a powerful tool to non-invasively characterize biochemical-pathologic changes in multi-center clinical trials.

Acknowledgements

This work was supported by funding from the National Institutes of Health (NIH) (R01NS080816, U01NS104326, R01CA190901, U01CA079778 and U01CA080098).

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Figures

Vendor standardization of the semi-adiabatic localization by adiabatic selective refocusing (sLASER) sequence at 3 Tesla (Mean (blue) and SD (gray) of the sLASER spectra acquired from five brain regions on GE, Philips and Siemens 3 T scanners across all 5 different subjects on each scanner. Voxel locations (yellow) are shown on the T1-weighted images. This sequence is currently used in a clinical cohort of subjects with genetically-confirmed spinocerebellar ataxia type 3, a hereditary movement disorder. (Deelchand et al. NMR Biomed 2019:e4218)

Mean concentrations of the most prominent metabolites relative to tCr and CRLB as measured in PCC (5 subjects per platform). Error bars represent standard deviation. No statistically significant difference (one-way ANOVA) in concentrations and CRLBs were observed between platforms (Deelchand et al. NMR Biomed 2019:e4218).

Distinguishing actual tumor response to anti-angiogenic therapy from so-called “pseudo-response” can be challenging. A multicenter trial by the American College of Radiology Imaging Network demonstrated increased NAA/Cho levels in the tumor at 8 weeks post treatment are associated with six month progression free survival.

Changes in NAA/Cho from baseline in tumor voxels grouped by progression free survivors at 6 months (PFS > 6 months, blue) and non progression free survivors (PFS ≤ 6 months, red). Error bars represent standard error of the mean (Ratai et al. Neuro Oncol. 2013)


Proc. Intl. Soc. Mag. Reson. Med. 28 (2020)