Mohammed Salman Shazeeb1, Robert King1, Zeynep Vardar1, Josephine Kolstad1, Anna Kuhn1, Vania Anagnostakou1, Christopher Raskett1, Jonathan Winger2, Ana Krtolica3, Nils Henninger1, and Matthew Gounis1
1University of Massachusetts Chan Medical School, Worcester, MA, United States, 2Omniox, Inc., Palo Alto, CA, United States, 3Oryn Therapeutics, Redwood City, CA, United States
Synopsis
Keywords: Stroke, Diffusion/other diffusion imaging techniques
In
acute ischemic stroke due to large vessel occlusion (LVO), information about
the penumbral tissue can be vital in making decisions on how to treat ischemic
stroke patients in the clinic. This study investigated the use of intravoxel
incoherent motion (IVIM) MRI in a canine LVO model to quantify the perfusion
information in penumbral tissue of fast and slow progressors that received an
oxygen carrier drug. The IVIM parameters were assessed to predict the onset of penumbral
tissue death. The IVIM parameters showed a better utility in predicting
penumbral tissue death in fast progressors compared to slow progressors.
Introduction
In
acute ischemic stroke, the penumbra constitutes of viable tissue that can be
rescued and surrounds the area of the ischemic region. Depending on progression
of the stroke, information about the penumbra can be vital in making decisions
on how to treat ischemic stroke patients in the clinic. A major factor
determining the speed by which the penumbra is converted into the infarct core
is the existence and recruitment of collateral vessels1. A recent
study demonstrated that the robustness of collaterals modified the efficacy of a
novel oxygen carrier drug in delaying the ischemic lesion evolution in a canine
stroke model2. In this study, we sought to employ intravoxel
incoherent motion (IVIM)3 MRI to quantify microvascular perfusion to
define tissue at risk for irreversible injury in the canine stroke model. Specifically,
we quantified the perfusion information in the penumbral tissue of fast progressors
(FP; poor collaterals) versus slow progressors (SP; good collaterals) to
understand the microvascular physiology and its effect on the macroscopic
infarct expansion. This information could be used to determine whether the IVIM
parameters can predict the onset of penumbral tissue death and identify
subjects likely to benefit from pharmaceutical or mechanical interventions
aimed at improving tissue perfusion and neuronal survival.Methods
An
autologous clot was injected into the middle cerebral artery (MCA) of 12 dogs to
cause an occlusion and subsequent infarction as previously described4,5.
After confirming the MCA occlusion (MCAO) using angiography, each dog was
imaged using MRI. Imaging protocol included perfusion-weighted MRI (PW-MRI, TR/TE=1500/20.1ms,
FA=40o, 60 dynamics, matrix=144x201), which was performed using Magnevist
(0.2 mmol/kg) at ~30 min post-MCAO, and diffusion-weighted MRI (DW-MRI, TR/TE=3200/76ms,
FA=90o, b-values = 0, 50, 100, 150, 200, 250, 300, 500, 700, and 900
s/mm2, NEX=4, matrix=128x128), which was performed after PW-MRI and
every 30 min up to 5 h post-MCAO. Each dog received an oxygen carrier drug, which
involved an intravenous bolus at ~45 min post-MCAO followed by slow infusion
for ~2 h. Histology was performed post-mortem using triphenyltetrazolium
chloride (TTC) to confirm the brain infarct region. IVIM analysis was performed
in a two-step fitting approach6 using: S(b)/S0=(1-f)*exp[-bD]+f*exp[-b(D*+D)], where S(b) is the signal intensity at the respective b value, S0 is the signal at b = 0, f is the perfusion
fraction, D is the molecular
diffusion coefficient, and D* is the
pseudo-diffusion coefficient related to microvascular perfusion. Infarct regions of interest (ROI) were based
on apparent diffusion coefficient (ADC) maps where ADC values < 0.533 × 10-3 mm2/s was considered infarcted tissue. The ROIs from later timepoints were superimposed
on earlier timepoints to delineate the penumbra region (Fig. 1). The time it
took for the ADC values of the penumbra to reduce to 0.533 × 10-3 mm2/s was considered to be the time prior to penumbral death. Normal tissue was
assessed by selecting contralateral ROIs in the unaffected hemisphere. Analysis of variance
(ANOVA) for mixed models was used to determine if there was a significant
change in the IVIM parameters between FP/SP and across timepoints.Results and Discussion
Of
the 12 dogs, 9 were FP and 3 were SP with final DWI infarct sizes of 6.9±2.8 cm3
and 2.1±0.4 cm3, respectively. Figure 2 shows examples of FP/SP with
an infarct region as indicated in the PW-MRI, DW-MRI, and histology. Figure 3 depicts
the infarct growth as assessed by ADC maps of FP/SP. Figure 4 indicates the correlation
of IVIM parameters with the final infarct distribution seen in the FP ADC map
with the colormap
indicating time to tissue death (Fig. 4A). Figures 4BCD show the f, D*, and fD* values,
respectively, in the penumbral region at the first 0.5 h timepoint, where f (microvascular
volume fraction) and fD* (microvascular perfusion) show a good prediction of infarct
progression. In the SP, homogeneous delay of infarct in the ADC map (Fig. 4E)
makes the IVIM parameter maps (Fig. 4FGH) less reliable in predicting the
infarct delay pattern. Figure 5 shows the quantification of all
IVIM parameters in the penumbra and normal tissue of FPs/SPs grouped by time
prior to penumbral death. The normal tissue shows a horizontal line indicating
minimal changes. The FP penumbra shows a decrease in all IVIM parameters as penumbra
tissue got closer to penumbral death (ANOVA p<0.01). In comparison, the SPs
show a relatively low and constant level from the onset for f and fD* perhaps due
to vasoconstriction induced by the oxygen carrier7. This might
indicate that the oxygen carrier was more active in the hypoxic tissue of FPs
compared to that of SPs in the microvascular level, which resulted in a greater
effect of delaying stroke onset in FPs compared to SPs2.Conclusion
The perfusion information obtained from IVIM identified differential
microvascular behavior in the ischemic penumbra of FP versus SP treated with an
oxygen carrier. The FPs demonstrated a favorable utility of IVIM parameters in
predicting the timeline of decline in the penumbral tissue compared to the SPs,
which can be useful information in patient selection for interventions.Acknowledgements
This
work was funded by NINDS 5R44NS076272-03. The content is solely the
responsibility of the authors and does not represent the official views of the
NIH.References
1. Leibeskind DS, Saber
H, Xiang Bm et al. Collateral Circulation in Thrombectomy for Stroke After 6 to
24 Hours in the DAWN Trial. Stroke. 2021; doi: 10.1161/STROKEAHA.121.034471.
2. Shazeeb MS, King RM,
Anagnostakou V et al. Novel oxygen carrier slows infarct growth in large vessel
occlusion dos model based on magnetic Resonance Imaging Analysis. Stroke.
2022;53:1363-1372.
3. Le Bihan D, Breton E, Lallemand D et al.
MR imaging of intravoxel incoherent motions: applications to diffusion and
perfusion in neurologic disorders. Radiology. 1986;161:401-407.
4. Kang BT, Lee JH, Jung
DI et al. Canine model of ischemic stroke with permanent middle cerebral artery
occlusion: clinical and histopathological findings. J Vet Sci. 2007;8:369-376.
5. Shazeeb MS, King RM,
Brooks OW et al. Infarct Evolution in a Large Animal Model of Middle Cerebral
Artery Occlusion. Transl Stroke Res. 2019; doi: 10.1007/s12975-019-00732-9.
6. Zhu G,
Federau C, Wintermark M et
al. Comparison of MRI IVIM and MR perfusion imaging in acute ischemic stroke
due to large vessel occlusion. Int J Stroke. 2019; doi:
10.1177/1747493019873515.
7. Taverne YJ, de Wijs-Meijler D, Hekkert ML et al. Normalization of
hemoglobin-based oxygen carrier-201 induced vasoconstriction: targeting nitric
oxide and endothelin. J Appl Physiol. 2017;122:1227-1237.