Roxana Gabriela Burciu1, Edward Ofori1, Derek Archer1, Samuel Wu2, Ofer Pasternak3,4, Michael Okun5,6,7, and David Vaillancourt1,5,8
1Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States, 2Department of Biostatistics, University of Florida, Gainesville, FL, United States, 3Department of Psychiatry, Harvard Medical School, Boston, MA, United States, 4Department of Radiology, Harvard Medical School, Boston, MA, United States, 5Department of Neurology, University of Florida, Gainesville, FL, United States, 6Department of Neurosurgery, University of Florida, Gainesville, FL, United States, 7Center for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, United States, 8Department of Biomedical Engineering, University of Florida, Gainesville, FL, United States
Synopsis
We
used a bi-tensor model to calculate free-water (FW) in the substantia nigra
(SN) from diffusion MRI scans obtained from the Parkinson’s Progression Marker
Initiative (PPMI) database with the goal of monitoring disease progression over
1 year and 4 years in Parkinson’s disease (PD). Results confirm previous
single-site findings by showing an increase in FW in the posterior SN over 1
year in a large multi-site study, and extend the literature by showing that FW
levels in this structure continue to increase over 4 years.
Purpose
Thus
far, a breakthrough in Parkinson’s disease (PD) therapeutics has been slowed,
in part, by the lack of a biomarker which can objectively detect brain changes
related to PD and sensitively monitor these changes as the disease progresses. Prior
work from our group demonstrated that free-water (FW) in the posterior
substantia nigra (PSN), a novel metric derived from diffusion MRI (dMRI), is
elevated in PD compared to controls across single- and multi-site cohorts,
increases over 1 year in PD but not in controls, and predicts changes in
parkinsonian symptoms1,2. Here, we used data from the Parkinson’s
Progression Marker Initiative (PPMI) database, a multicenter study aimed to
identify biomarkers in de novo PD, to test the feasibility of FW in PSN as a
measure of disease progression in PD patients with a 4-year follow-up.Methods
We included baseline and follow-up dMRI scans from
patients with PD who
had undergone nuclear imaging to confirm striatal dopamine deficit and
were
drug naïve at enrollment. PD patients were grouped into three cohorts:
1) PD imaged
at baseline and 12 months (N = 103), 2) PD imaged at baseline, 12
months, 24
months, and 48 months (N = 46), and 3) a subset of PD who underwent both
dMRI and DaTscan SPECT imaging at baseline, 12 months, 24 months, and
48 months
(N = 30). Diffusion MRI scans were acquired at various sites using a
Siemens 3T
scanner and had the following parameters: b
= 1000 s/mm2, 64 diffusion gradient directions with one b0 image, image
matrix = 116 x 116 x 72,
flip angle = 90º, and a voxel resolution of 1.98 x 1.98 x 2 mm. Upon
preprocessing, a bi-tensor model was used, which calculates the signal
attenuation
as the sum of attenuations arising from two compartments: one that
models FW
and a tissue compartment that models either gray matter or a single
bundle of
white matter3. Using this model, FW and FW-corrected fractional
anisotropy (FAt) maps were computed. Next, the b0 image was
registered to a standardized T2-weighted template, and the resulting
transformation matrix was then applied to the FW and FAt maps. Bilateral
regions
of interest (ROIs) were hand-drawn in the anterior substantia nigra
(ASN) and
posterior substantia nigra (PSN) on the b0
image of each subject in MNI space at each time point, and used to
extract
values from the corresponding FW and FAt maps1,2. We examined: a)
1-year changes in FW/FAt in 103 PD, b) 4-year changes in FW/FAt in the
subset
of 46 PD who were imaged 4 times over 4 years, and c) the relation
between
4-year changes in FW and striatal binding ratio (SBR) in 30 PD who had
undergone both diffusion MRI and DaTscan at each time point. We also
report
required sample size at 90% power for future clinical trials that would
use relative
changes in FW in the PSN.Results
Results
demonstrate that 1) FW in PSN increases over 1 year, 2) FW in PSN steadily
increases over 4 years, 3) sex and baseline FW predict 4-year changes in FW, 4)
4-year changes in FW correlate with changes in SBR in the putamen. There was no
time by site interaction. Also, no changes were detected in FW in ASN, or in
FAt measures in ASN/PSN. The power analysis for a 2-arm drug study using
relative change in FW in PSN over 2 years as an outcome measure indicated that
to detect a significant effect of a neuroprotective agent with 90% power and
50% predicted change, 176 subjects are required across groups.Discussion
Results extend previous single-site longitudinal
findings in PD by showing that FW levels in PSN increase over 1 year in a large
multi-site study of de novo PD. Importantly, FW in PSN continues to increase
with disease progression over the course of 4 years., and results are consistent
across PPMI sites, validating the feasibility and reliability of FW imaging as
a progression marker of PD. Current findings also encourage sex as a factor to
consider in the conduct of future clinical trials and most importantly suggest
that imaging-based sample sizes are smaller than those based on clinical
outcomes previously used in clinical trials in PD (e.g.1176 subjects for the
ADAGIO study4, 336 subjects in the ongoing STEADY-PD trial NCT02168842).Conclusion
We
validate FW in PSN as a non-invasive imaging marker of disease progression in
PD in a multi-site 4-year study, a measure which could be used in clinical
trials of disease-modifying therapies.Acknowledgements
The authors would like to thank the PD patients
participating in the Parkinson’s Progression Marker Initiative
(PPMI), an international multicenter study funded by the Michael J. Fox
Foundation for Parkinson’s Research and funding partners including GE
Healthcare, Pfizer, Genentech, Merck, Abbvie, Biogen, Covance, TEVA, UCB (http://www.ppmi-info.org/about-ppmi/who-we-are/study-sponsors/).References
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