Whitney D. Perez1, Ilektra Athanasiadi2, David A. Edmondson1, Jeannie Plantenga2,3, and Carlos J. Perez-Torres1,3
1School of Health Sciences, Purdue University, West Lafayette, IN, United States, 2Department of Veterinary Clinical Sciences, Purdue University, West Lafayette, IN, United States, 3Center for Cancer Research, Purdue University, West Lafayette, IN, United States
Synopsis
Radiation-induced
brain injury (RIBI) is an irreversible and progressive long-term effect of
radiation therapy. Current pre-clinical experiments use mouse models, which do
not accurately replicate the pathology as seen in humans. We chose to simulate
RIBI within a swine model because its brain structures are more comparable to
human brain structures. Our preliminary findings show similar resemblances to
the pathologies seen in human patients affected by RIBI.
Purpose
With the prognosis for childhood brain cancer patients
constantly improving, renewed attention has been placed on the long-term
effects of radiotherapy, such as cognitive impairment and white matter necrosis1.
To develop treatments for this radiation-induced brain injury (RIBI), animal
models are critical to understand its pathological mechanism. Although
prevalently used, mouse models do not replicate the MRI changes observed
clinically because their brain structures are not similar to human brain
structures. We chose to develop a pig model because its brain structures are
more comparable to human brain structures and can therefore be used to
accurately model the development of RIBI.Methods
Two male 3-month old Yucatan mini-pigs were used to
create our swine model. The animals were treated in a manner consistent with
pediatric brain tumor patients. Intensity modulated radiation therapy (IMRT)
was utilized for the radiation treatment planning based on CT images (GE Light
Speed VCT, GE Medical Systems, Milwaukee, WI). A single-fraction dose of 25 Gy was delivered
with a clinical 6 MV linear accelerator (Varian Medical Systems, Palo Alto, CA)
to the left hemisphere of each mini-pig brain (not including the brain stem),
while the right hemisphere was kept unirradiated as a control. MR images of the
brain were acquired 1 week before irradiation, 3 months post-irradiation, and 4
months post-irradiation on a 3T Siemens MAGNETOM Prisma MRI scanner. T1-weighted
and T2-weighted images were first acquired using a 3D MP-RAGE sequence and 3D
FSE sequence, respectively. MR spectroscopy data was acquired using semi-LASER
localization with the acquired T1-weighted and T2-weighted images as a reference
for voxel placement. The mini-pig was then given an intravenous injection of 0.2
mL/kg of MultiHance, after which diffusion-weighted images were acquired using
a SE EPI sequence to allow the contrast enough time to diffuse. Finally, we ran
MP-RAGE again to acquire T1-weighted post-contrast images.Results
Behavioral and neurological deficits (left head tilt and
left circling) were observed as early as 2 months post-irradiation. There was
observable pathology on MRI at our 3-month scan which matched the severity of
neurological impairment. These neurological deficits progressed over time,
leading to balance loss and inability to stand which ultimately led to early
euthanasia of both pigs. After euthanizing one mini-pig at 3 months
post-irradiation and the other at 4 months post-irradiation, the brains were
processed for histological analysis. MRI and DWI scans of the last surviving
mini-pig taken at 3 and 4 months post-irradiation are shown in Figure 1 and 2, respectively.
An MRS spectrum of the same animal at 3 months post-irradiation is displayed in
Figure 3. Discussion
The progression of the morphological changes seen in
our model is comparable to the disease development seen in humans after
receiving radiotherapy for head-related cancers2. White matter
lesions were detected at 3 months post-irradiation (Figures 1a-c) and
characterized by increased signal intensity in the T2-weighted image with no
contrast enhancement in the T1-weighted post-contrast image3. An
area of low signal intensity could be seen in the left hemisphere of the T1-weighted
image that was not present in the contralateral hemisphere. This decrease in
signal intensity could be interpreted as increased fluid due to edema. To
support this finding, ADC and FA maps (Figures 1d-e) showed increased diffusion
and decreased anisotropy, respectively. An overall midline shift to the right could
be seen, assuming due to the edema. By 4 months post-irradiation, areas of
radiation necrosis have also begun to form alongside the white matter lesions
(Figures 2a-c). Necrotic areas were characterized by increased signal intensity
in the T2-weighted image along with contrast enhancement in the T1-weighted
post-contrast image. The edema previously observed at 3 months post-irradiation
has worsened over the time span of a month, as indicated by the ADC and FA maps
(Figures 2d-e), which further intensified the midline shift. An interesting
discovery from our 3-month MRS scan of the irradiated hemisphere (Figure 3) was
the detection of a lactate peak along with a decreased N-acetyl aspartate peak
in relation to creatine. While this evidence typically points to infarct tissue4,
the lactate concentration measured in our spectrum is not significant enough to
conclude the presence of infarction, but rather suggests this region has
sustained vascular injury. Additional optimization of the semi-LASER sequence is
needed to improve SNR in our spectra to confirm this finding. Further work also
needs to be done in determining the appropriate dose to specifically induce the
long-term effects of radiation injury. Nevertheless, our preliminary data
suggests that a swine model can replicate the development RIBI similarly to the
clinical disease seen in humans.Acknowledgements
We want to acknowledge the support of the Pre-Clinical Research Laboratory
(particularly Robyn McCain and Christa Crain) and the Purdue Life Science MRI
facility (particularly Xiaopeng Zhou) for their help in performing all the
procedures.References
[1] Greene-Schloesser et al. “Radiation-Induced Brain Injury: A Review.”
Frontiers in Oncology 2 (2012). [2] Lee et al. “Radiation-Induced Brain Injury:
Retrospective Analysis of Twelve Pathologically Proven Cases.” Radiation
Oncology Journal 29, no. 3 (2011). [3] Wang et al. “Evolution of
Radiation-Induced Brain Injury: MR Imaging–Based Study.” Radiology 254, no. 1
(2010). [4] Saunders, Dawn E. “MR Spectroscopy in Stroke.” British Medical
Bulletin, no. 2 (2000).