Albert M. Isaacs1, Harri Merisaari2, Tsen-Hsuan Abby Lin2, James (Pat) James McAllister3, David D Limbrick3, and Sheng-Kwei (Victor) Song2
1Neuroscience, Washington University School of Medicine, St. Louis, MO, United States, 2Radiology, Washington University School of Medicine, St. Louis, MO, United States, 3Neurosurgery, Washington University School of Medicine, St. Louis, MO, United States
Synopsis
This
study is the first of its kind, and uses diffusion basis spectrum imaging
(DBSI) to quantify, as well as differentiate the complex pathologies that underlies
the white matter injury in post-hemorrhagic hydrocephalus (PHH) in neonates,
using a ferret model of PHH.
Introduction:
Post-hemorrhagic hydrocephalus (PHH) is a
debilitating neurological disorder, characterized by abnormal dilatation of the
ventricles, following intraventricular hemorrhage (IVH). Up to 50% of
preemie-IVH infants develop PHH, and suffer the worst neurologic outcomes in all newborn medicine, with
cognitive deficits in 85% and cerebral palsy in 70% of cases. Most of PHH’s
symptoms are attributed to periventricular white matter (PVWM) injury, and recent
efforts have focused on Diffusion Tensor Imaging (DTI) as a biomarker. However,
DTI has been shown to lack sensitivity and specificity for differentiating complex
WM pathologies such as inflammation, edema, axonal injury, axonal loss and demyelination, which significantly
limits its utility in PHH. We have utilized a novel multi-tensor
technique, Diffusion Basis Spectrum Imaging (DBSI), which unlike DTI, can
separate
anisotropic from isotropic tensors. The DBSI anisotropic tensors model and
resolve crossing fibers, and assess injured axons and demyelination. The
isotropic tensor spectrum further categorizes restricted and non-restricted
components, reflecting cellularity and edema respectively.Methods:
Autologous
blood (n=7) or sham CSF (n=6) was injected into the ventricles of 20-day-old
ferrets. Extracted brains at 50-day-old were scanned ex vivo in 4% PFA in an Agilent® 4.7 Tesla magnet. T2-Weighted images, and multi-echo
spin echo diffusion weighted sequence in 99 diffusion directions (TR 3000 ms,
TE 60 ms, Matrix = 192 x 192, b-value
max = 3000 s/mm2) was acquired. The datasets were processed with
in-house analysis package running on Matlab. Regions of Interest (ROIs) of PVWM
and ventricular volume (VV) were delineated
using ITK-SNAP. PVWM included: corpus callosum (CC)
and anterior (ALIC) and posterior (PLIC) limbs of internal capsule. Voxel
intensity values of all ROIs were extracted, and statistically analyzed using
in-house Python v2.7 and R package v3.4.1 scripts. Parameter map (PM)
intensity of ROIs, and VVs were analyzed with Shapiro-Wilk test for normality, non-paired
t-tests for comparisons and 1-Way ANOVA for heteroskedastic data.Results
PHH was successfully induced (Figure 1). While
the average VVs of the PHH group were larger than controls, it was not
statistically significant (Figure 2). However, the PHH group had 68% (p<0.0004) proportional increase the
hindered fraction, which included 120% (p=0.0006)
and 51% (p=0.0005) in the CC and ALIC
respectively (Figure 3). There was no significant change in PLIC. Assessing
intrinsic PVWM injury, CC and ALIC sustained the most impact, demonstrating proportionally
decreased fiber density by 7% (p=0.007)
and 10% (p=0.03) respectively. ALIC also
demonstrated evidence of axonal injury with decreased axial diffusivity of 8%
(p=0.008), which is attributed in part to axonal loss, given the decrease in
fiber fraction axial diffusivity of 9% (p=0.006).
While similar trends were observed in the PLIC, none was statistically
significant. Representative histological evidence of the PVWM inflammation is
shown on Figure 4. Discussion:
PVWM injury is critical in PHH, and accounts for
its most debilitating symptoms. Our findings agree with published literature
that the corpus callosum (CC) and internal capsule are impacted the most. In
our model, the hindered fractions of CC and ALIC of the PHH ferrets were
doubled or increased by 50% respectively, when compared to controls. Given that
there is no significant difference in their respective water fractions, the
increase likely represents edema due to inflammation, induced by the IVH and/or
progressive hydrocephalus. The finding of inflammation is also supported by the
relatively high astrocytosis on histology in PHH than controls (Figure 4). We found
similar evidence in postmortem brain specimen of human PHH. In humans, PVWM
axonal integrity is also compromised in PHH. In our model, ALIC axons were most
susceptible. In fact, over 7% of ALIC axons were lost, while 1 in every 10
fibers demonstrated axonal injury in the PHH group. Similar trends were seen in
the CC and PLIC, but were not statistically significant.Conclusion
Our ferret PHH model mimics the human disease in
four important ways: 1) evolution of PHH following IVH; 2) PVWM disruption in
the CC and internal capsule; 3) WM injury occurs even when ventriculomegaly is
not significantly apparent; 4) inflammation and edema plays a major role. DBSI
is a versatile tool for differentiating and quantifying the different
components of WM disruption in PHH. This experiment is the first of its kind to
utilize any neuroimaging, specifically as a biomarker to differentiate and
quantify PVWM inflammation from free water extravasation in hydrocephalus.
Perhaps, more notably is DBSIs ability to differentiate PVWM axonal loss from
injury. Further testing of DBSI in PHH both in
vivo, and in humans is required to transition the modality from the bench
to the bedside in PHH.Acknowledgements
Special thanks to all members of the Song and Limbrick lab for their support and help with this project.References
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