Julie Constanzo1, Matthieu Dumont2, Luc Tremblay1, Philippe Sarret3, Jean-Michel Longpré3, Karyn Kirby3, Sameh Geha4, Laurence Masson-Côté1, Benoit Paquette1, and Maxime Descoteaux2
1Nuclear Medicine and Radiobiology, Sherbrooke University, Sherbrooke, QC, Canada, 2Computing Science, Sherbrooke University, Sherbrooke, QC, Canada, 3Pharmacology and biophysics, Sherbrooke University, Sherbrooke, QC, Canada, 4Pathology, Sherbrooke University, Sherbrooke, QC, Canada
Synopsis
Despite its high efficiency for treating brain tumors
and metastases, stereotactic radiosurgery (SRS) may lead to brain swelling, necrosis,
and neuronal dysfunction, thus inducing delayed adverse effects such as
cognitive decline and stroke-like symptoms. Altogether, our results revealed that SRS treatment
induces region-specific plasticity (i.e. structural and function changes), as
demonstrated by neuronal matrix remodeling using diffusion MRI and appropriate
HARDI reconstruction, corresponding to histopathological modifications and changes
in behavioral responses.PURPOSE
Stereotactic radiosurgery (SRS) is
a well-established treatment for many types of brain tumors. However, surrounding
healthy tissues may also receive a significant radiation dose during SRS. This
can lead to brain swelling, necrosis, and neuronal dysfunction, thus inducing delayed
adverse effects such as cognitive decline and stroke-like symptoms. We propose
to use diffusion MRI (dMRI) tractography and behavioral assessment tools to
enhance our understanding of the neuroplasticity changes associated with brain
irradiation.
METHODS
Thirty male Fisher rats (protocol
# 363-14) were
irradiated using a targeted irradiation in the primary somatosensory area (S1),
hippocampus and primary motor cortex (M1) of the right hemisphere, as previously
described [1]. Using the Leksell Gamma Knife Perfexion®, the mean deposited
dose into the S1, M1 and hippocampus (Fig. 1) structures were respectively, 113
± 4 Gy, 41 ± 8 Gy, 24 ± 10 Gy,. Before and at different time points after
irradiation, rats were scanned with a small animal MRI scanner (Varian Inc.,
Palo Alto, CA) with a dedicated rat head-coil (RAPID MR International, OH), based on a single b-value dMRI acquisition to assess the integrity of
neuronal interconnections. Diffusion weighted images were acquired using a
multi-slice spin echo sequence with 15 non-collinear diffusion (+b0) gradient directions and b = 977 s/mm². Other imaging parameters
were: TR/TEeff = 3500 ms/35 ms, FOV = 38.4×38.4 mm² covering 25
coronal slices with no gap and 0.3×0.3×0.35 mm3 resolution, and a 2 h
total scan duration. For registration purposes, a spin echo T2-weighted
sequence was performed with the following parameters: repetition time TR/TEeff
= 3000 ms/48 ms; 8 echos; echo spacing
12 ms; field of view (FOV) = 32 × 32 mm2,
25 slices, 0.7 mm axial slice thickness. The methodology used to analyze
dMRI images was, first a denoising step [2] followed by computation of fODF [3]. Tractography
algorithms and visualization of streamlines were used to reveal displacements
and breakdown in neuronal pathways by studying different diffusion metrics as
FA, MD, AD, RD, but also advanced metrics such as fiber crossing characterization
(Nufo) and maximum apparent fiber density (afd max) [4] for more appropriate
fiber-density mapping [5]. All this analysis was done in Dipy [6]. Moreover, to correlate dMRI results, brain-region
specific sensitivity to irradiation was determined using different behavioral
tests. In
addition, myelin sheath damage
(Luxol Fast Blue staining), astrocytosis reaction (chicken anti-GFAP antibody
staining, #AB5541, Millipore, CA, USA), and tissue inflammatory response (rabbit
anti-Iba1 staining, #019-19741, Wako Chemicals, VA, USA) were characterized by immunohistochemistry.
RESULTS
Fig. 2 shows corpus callosum
fiber bundles disruption (surrounded by neocortex and hippocampus) at day 110
following irradiation, which were confirmed by histology (Fig. 3). Other regions
of interest showed significant tract-density (tdi) decrease in irradiated
fimbria of hippocampus (white matter), neocortex and M1 but no changes in
hippocampus. The significant tdi decrease into irradiated neocortex and M1 was
confirmed by afd max, which is not tracking-dependent. On the other hand, behavioral
tests showed that: i) motor function (Rotarod and Actimetry), revealed that brain
irradiation did not affect motor performances (M1-related) while neuronal disorganization
were also observed by histology, and ii) the anxiety-like behaviors and learning/memory
performances (measured by Elevated plus maze and Morris water maze assays) were significantly
decreased. This result probably reflects right amygdala and hippocampus alterations,
although they received respectively no and lower radiation dose than the M1.
DISCUSSION AND CONCLUSIONS
Our
results revealed that sensitivity of some brain areas is not only associated to
the radiation doses received. A high
single dose of targeted irradiation can induce a region-specific plasticity
(i.e. structural and function changes), as demonstrated by neuronal matrix
remodeling using dMRI and an appropriate HARDI reconstruction, that were partially
validated by behavioral assays. Brain structures are highly interconnected,
thus prevention of axonal damage may be important to preserve the reserve
capacity. The current interpretation of radiation-induced cognitive impairments
in clinic may be overly simplistic. This study suggests that treatment planning
may be improved by a better understanding of the brain response to radiation,
which would take into account of its reserve capacity associated to plasticity,
and also the sensitivity of white matter and not only of gray matter/functional
structures.
Acknowledgements
Supported by the Fonds de Recherche Québécois Nature
et Technologies (Grant No 172009). Maxime Descoteaux, Laurence Masson-Côté, Benoit
Paquette and Philippe Sarret are members of the
FRQS-funded Centre de recherche CHUS. The authors thank the Electron
Microscopy & Histology Research Core of the FMSS at the Université de
Sherbrooke for their histology services.References
[1] Constanzo et al., Med. Phys,
2015 [2] Descoteaux et al., Med Image
Comput Comput Assist Interv., 2008;11(Pt 2):122-30 [3] Descoteaux, IEEE Trans Med Imaging, 2009 Feb;28(2):269-86. [4] Dell’acqua et
al., Human Brain Mapping, 2013;
34:2464–2483 [5] Calamante et al., Neuroimage, 2015 [6] Garyfallidis et al.,
Frontiers in Neuroinformatics, 2014.