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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