Nicholas J Sisco1, Aimee Borazanci1, Richard Dortch1, and Ashley M Stokes1
1Neuroimaging Research, Barrow Neuroimaging Innovation Center, Phoenix, AZ, United States
Synopsis
The objective of this study is to
develop magnetic resonance imaging (MRI) biomarkers that can probe complementary
vascular function and myelin content. The development of biomarker assays to
quantitatively probe both perfusion and myelin content is critical to assessing
acute inflammatory activity and regenerative potential. We anticipate that this
biomarker will give insight into the underlying pathophysiology of reversible
and irreversible myelin damage.
Introduction
Multiple sclerosis (MS) is a
demyelinating disease that affects the central nervous system. MS lesions are
known to form around small cerebral blood vessels.1 Altered cerebral perfusion can be detected using MRI with
dynamic susceptibility contrast (DSC) imaging.2 Thus far, MR-related DSC imaging has focused on global
perfusion analysis using standard gradient echo sequences. Recent advances in
MRI sequence development have paved the way to measure global perfusion and capillary-sized
vessel perfusion metrics using spin- and gradient- echo (SAGE) DSC.3 Myelin loss may influence, or be
influenced by, cerebral perfusion changes in MS patients therefore measuring
perfusion could be a useful biomarker to report on myelin status.
If successful, perfusion
biomarkers could be used to assess acute inflammatory activity and predict
regenerative potential in RRMS. The purpose of this study is to determine the
correlations between SAGE-DSC cerebral perfusion metrics and myelin content measured
by the ratio of T1w images to T2w images. Methods
A total of 48 patients (mean age:
37.3; 29 female) with relapsing remitting MS (RRMS) and average FAMS = 117.3 — typical
of moderate impairment — were enrolled in this study. MRI was performed on an Ingenia
3-T Scanner (Philips). Standard T1-weighted images were acquired pre- and post-contrast, as well as T2-weighted
images. Imaging parameters are summarized in Table 1.
Perfusion was quantified using an
advanced spin- and gradient-echo method (SAGE) during contrast injection to
calculate complementary macro- and microvasculature perfusion parameters,
including cerebral blood volume (CBV) and cerebral blood flow (CBF). For SAGE,
after 45 s of baseline images, a
standard dose (0.1 mmol/kg) of gadolinium-based contrast agent (Gadobutrol,
Gadavist) was injected intravenously at 3 mL/s using a power injector. SAGE-DSC
acquisition lasted 4.5 minutes. Following SAGE-DSC,
The SAGE echoes were combined to compute dynamic ∆R2*
and ∆R2 time series, as previously described.4,5 The gradient-echo-based ∆R2*
and spin-echo-based ∆R2 were subsequently used to quantify global
and capillary-sized perfusion,
respectively.3,4,6
The ∆R2*
and ∆R2 time-courses were converted to contrast agent concentration,3 while the arterial input function (AIF)
was determined using automated methods specifically designed for multi-echo
acquisitions.3 Gradient- and
spin-echo-based CBV maps were determined from the ratio of the scaled integral
between the tissue CA concentration curves and the AIF.3 Gradient- and spin-echo-based CBF maps
were calculated as the maximum value of the impulse response function
determined from deconvolution of the AIF and tissue CA concentration using
block-circulant singular value decomposition.5 Gradient- and spin-echo-based MTT maps were calculated as CBV:CBF
ratio. Accounting for differential vessel size sensitivity of gradient-echo and
spin-echo,3 the
capillary-sized-sensitive spin-echo perfusion measures are referred to with
“-SE”, e.g. CBF-SE; otherwise the parameter refers to the globally-sensitive
gradient-echo, e.g. CBF.
Per patient, a standardized ratio
of T1w and T2w images (sT1w/T2w) were calculated as markers of myelin content,
which has been previously described.7–12
Perfusion and myelin were
compared across tissue types — normal-appearing white matter (NAWM) and gray
matter (NAGM), and lesion regions of interest (ROIs). Correlation between
perfusion and myelin was assessed in NAWM and lesions.
Images were registered to
T1w-MPRAGE space and central tendency
for SAGE-DSC parameters and sT1w/T2w ratio ROI voxel intensity values are
reported as the median values at the subject level. Correction for multiple
comparisons was performed using FDR method with threshold for significance of p
≤ 0.05.Results
Figure 1 shows the structural
images used in this study as well as the SAGE-derived perfusion parameters.
Figure 2 shows how tissue ROI median values from each image differ. Significant
differences in cerebral perfusion were observed across ROIs, with lesions
(macrovascular CBF/CBV = 32.7±3.1/2.7±0.2, microvascular CBF/CBV = 19.5±1.5/CBV
= 1.5±0.1) showing significantly decreased perfusion relative to NAGM and NAWM
with both microvascular (p ≤ 0.0001)
and macrovascular (p ≤ 0.0001)
metrics. Figure 3 represents the scatter plot for Spearman rank correlations. Lesion
ROIs (mean ± SD) also exhibited significantly lower myelin content (p ≤ 0.0001), as quantified by sT1w/T2w,
relative to NAWM — Lesion = -0.001 ± 0.001 NAWM = 0.23 ± 0.007.
Microvasculature CBV and CBF showed significant positive Spearman correlations
with myelin content in lesions (CBV, ρ = 0.33, p ≤ 0.05; CBF, ρ = 0.31, p ≤ 0.05). No
perfusion metrics correlated with myelin in NAWM.Conclusions
Decreases in microvascular blood
flow and volume are associated with concomitant reductions in myelination in
lesions in patients with RRMS. This association was only observed with the
unique microvascular perfusion provided by SAGE, while macrovascular perfusion
was less sensitive to myelin changes. This supports the hypothesis that microvascular
perfusion and myelin are intrinsically linked, possibly through mechanisms
related to myelinating oligodendrocytes. This exploratory study in RRMS shows
that SAGE-DSC perfusion has potential to be a useful tool in detecting small
vascular changes, which may be critical for understanding damaging demyelination
and reparative remyelination. This work was supported by the Barrow Neurological Foundation, NIH R01NS097821, and Philips Healthcare.Acknowledgements
The authors thank Charrid Simpson, RN, MSN, FNP-C, MSCN, and
Ashley Nespodzany, MS, for help with patient recruitment, and Maurizio
Bergamino, PhD, and Laura Bell, PhD, for many helpful discussions. This work
was supported by the Barrow Neurological Foundation and NIH R01NS097821. References
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