Elodie A. Pérès1,2, Fawzi Boumezbeur1, Olivier Etienne2, Antoine Grigis1, François D. Boussin2, and Denis Le Bihan1
1UNIRS, NeuroSpin, I2BM, Life Sciences Division, Commissariat à l’Energie Atomique, Gif-sur-Yvette, France, 2Laboratoire de Radiopathologie, SCSR, iRCM, UMR 967, Life Sciences Division, Commissariat à l’Energie Atomique, Fontenay-aux-Roses, France
Synopsis
Patients frequently
suffer from cognitive impairments following brain radiotherapy. Ionizing
radiations are known to induce various brain alterations and impair
neurogenesis. Following whole cerebral irradiation (3X5 Gy), we found significant changes in non-Gaussian water diffusion
parameters (ADC0 and kurtosis) and related S-index, a new diffusion biomarker
sensitive to changes in tissue microstructure, in the subventricular zone, a
site of adult neurogenesis and in the olfactory bulbs. MRS exhibited a
longitudinal decrease in taurine specifically in the olfactory bulbs. These
results suggest that diffusion MRI and MRS could be used to monitor changes induced
by radiation injury.
Introduction
Radiotherapy (RT) is
commonly used for the treatment of primary brain tumors and metastases but cause
cognitive impairments
1. Several preclinical studies have shown that
radiation-induced memory and attention deficits are related to demyelination
and necrosis, blood-brain barrier and neurogenesis alterations
2.
Therefore, non-invasive and sensitive biomarkers of radiation-induced injury
are needed to monitor brain damage and help in optimizing RT protocols. Previous
studies showed that diffusion MRI is sensitive to brain radiation-injury
3-7.
Here we aimed at establishing the time-courses of structural and metabolic
changes occurring in a mouse model of brain irradiation using
1H MRS
and S-index, a new diffusion biomarker
sensitive to changes in tissue microstructure.
Material and Methods
The heads of 3-months old male C57BL/6RJ mice (n=15 for both control and
irradiated groups) were exposed to a radiation dose of 15Gy (3 times 5Gy every
48h) from a 60Co source8. MR acquisitions were performed one week before irradiation and at
different times post-irradiation on a 11.7 T Bruker
BioSpec MRI scanner equipped with a CryoProbe. Animals
were anesthetized using isoflurane (1-2%). Body temperature was monitored and
maintained at 37°C±0.5°C. Whole-brain anatomical (T2w-TurboRare, resolution=0.05x0.05x0.450mm; 16
slices) and DWI images (PGSE-EPI, TE/TR=24/2500ms, 16 slices, δ/Δ=4/11.5ms, 34 b-values from
10 to 3500 s/mm2, 3 orthogonal directions) were acquired as well as 1H
MR spectra (LASER, TE/TR=25/3500ms, 128 averages) from the hippocampus,
striatum and olfactory bulbs (volumes = 5.6, 7.5 and 6µL respectively).
Non-Gaussian diffusion
parameters, ADC0 (Apparent Diffusion Coefficient) and K (kurtosis),
and IVIM parameters fIVIM (flowing blood volume fraction) and
D* (pseudo-diffusion coefficient) were estimated on a voxel-by-voxel basis and
in selected ROIs by fitting the signal obtained at all b values according to
the IVIM/non Gaussian (kurtosis) diffusion model9. Moreover, a newly
developed diffusion composite marker, S-index10, aimed at directly
detecting minute changes in the diffusion-weighted MRI signals acquired at key
b values was also calculated. This composite index was calibrated using
databases of diffusion and IVIM parameters previously established on brain of
healthy mice. MR spectra were analyzed using LCModel11and a set of simulated
spectra. The signal of macromolecules (MM) was parameterized as
described elsewhere12 and implemented in LCModel. Metabolite concentrations were derived
using the total Creatine (Cr+PCr) signal as an internal reference of
concentration ([Cr+PCr]=8mmol/L).
All data were presented
as mean ± SD. Statistical analyses
were obtained using Student’s t-test (*p<0.05, **p<0.01 and
***p<0.0001) or two-ways analysis of variance (ANOVA) with multiple
comparisons using Bonferroni post-hoc test ($p<0.05, $$p<0.01 and $$$p<0.0001).
Results
No obvious anatomical lesions, such as edema or necrosis were observed at
any time (Fig. 1A), beside a slight brain atrophy (5% in the irradiated group
relative to control animals, p<10
-4) from 2 months after
radiation until the end of experiment (Fig. 1B). A significant decrease in
S-index values was observed transiently 3 days after radiation in the
hippocampus (Fig.2). The S-index remained persistently lower in the subventricular
zone (SVZ) (Fig. 2) and in the olfactory bulbs of irradiated mice compared to control
(Fig. 3). Those S-index drops were mirrored by increases in ADC
0
and/or decreases in K, but those changes were less or not
significant (Fig. 3). No significant changes were found for fIVIM and D* in those
neurogenic areas, and no differences in diffusion and perfusion parameters were
observed in other regions (especially the cortex, the thalamus and the
striatum) (Fig. 2). MRS revealed a longitudinal decrease in taurine in the
olfactory bulb of irradiated mice compared to control group (p<0.01) (Fig.
4). The other metabolite concentrations in hippocampus were relatively similar
between the groups, apart from a decrease in neuronal (NAA and GABA) and glial
metabolites (myo-inositol) only at 1 month after irradiation.
Discussion
The observed decrease
in S-index values in the olfactory bulbs and SVZ of irradiated mice are consistent
with the neurogenesis decline induced by high-dose irradiation
8,13. SVZ
is one of the few regions in the brain in which neurogenesis continues
throughout adulthood (cells from this region can proliferate and migrate via
the rostral migratory stream to the olfactory bulbs where they differentiate
into neurons). Taurine is also a likely factor in neurogenesis
14,15 and
its specific decrease in the olfactory bulbs is consistent with a weakened neurogenesis.
The decrease in S-index reflects a decrease in diffusion hindrance and suggests
a decrease in the cell population of affected areas. Immunohistological assays are
underway to investigate changes in cell density post-irradiation.
Conclusion
This preclinical study
suggests that DWI, especially the composite S-index, could be a relevant biomarker
to monitor non-invasively brain radiation injury and probe structural changes
underlying the radiation-induced cognitive deficits.
Acknowledgements
This work was
supported by the Life Sciences Division of CEA. The authors wish to thank
Boucif Djemai and Erwan Selingue for their technical support during MRI
acquisitions.References
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