Babak Moghadas1, Jonathan Scirone1, Matthew Scarpelli2, Alberto Fuentes2, C. Chad Quarles2, and Vikram D. Kodibagkar3
1Arizona State University, Tempe, AZ, United States, 2Barrow Neurological Institute, Phoenix, AZ, United States, 3School of Biological and Systems Engineering, Arizona State University, Tempe, AZ, United States
Synopsis
In this study we have used the hypoxia-targeting MRI contrast agent
GdDO3NI, (a nitroimidazole-based T1 contrast agent) to image the development of
hypoxia in two types of rodent brain tumor models. Our results indicate a range
of signal enhancements from 0-17% over baseline in the C6 and 9L tumors using
GdDO3NI with clearance from contralateral brain and muscle tissue. This study
further demonstrates the utility of GdDO3NI in non-invasive imaging of tissue
hypoxia with high resolution.
Introduction
Glioblastoma
multiforme (GBM) is the most common and deadliest type of primary malignant
brain tumor. A chronic hypoxic microenvironment in solid tumors, i.e. deficit
of oxygen, leads to changes in tumor cell metabolism and upregulating
pro-survival proteins which in turn increase angiogenesis, proliferation,
invasion, and metastases. The importance of hypoxia as a key factor in choosing
therapy for patients, and personalized treatments has led development of
imaging methods to assess tissue hypoxia in brain tumors [1,2]. Here, we
determined the tumor hypoxia in 2 rat orthotopic glioma models using GdDO3NI a nitroimidazole-based T1 contrast agent
for MRI in dynamic contrast enhancement (DCE) method. The hypoxia targeting contrast agent, GdDO3NI, had been synthesized as
described previously [3]. Materials and methods
All
animal studies were performed in accordance with Institutional Animal Care and
Use Committee approved animal protocol. Female Fischer rats were inoculated
with 9L and Wister rats with C6 tumor models as described previously[1]. Imaging was performed
after 25 days or more post implantation at 7 T with a preclinical MR scanner.
Anatomical imaging was performed using a T2-weighted spin echo
sequence with the following parameters: TR= 6.4s, TE= 50ms, averages= 4, matrix
= 128x128, FOV=3.2cm×3.2cm,
thickness = 1mm. The DCE study was performed using a FLASH sequence with
TR=100ms, TE=2.5ms and a flip angle of 40 degree pre and post 2h after injection
of 0.1 mmol/kg GdDO3NI. Image
analysis was performed using built in-house algorithms with MATLAB. Data
analysis was performed on regions of interest (ROIs) drawn on MR images. To normalize the data with the
amount of delivered contrast agent for each animal, normalized differential
enhancement (NDE) was calculated. The NDE is defined as the difference in
percentage enhancement between the tumor region and the contralateral brain and
the result is divided by the maximum value of the muscle enhancement for each
data set. Results are presented as means ± standard deviation
for rats. Individual groups were statistically compared with t-test and results
with p<0.05 were considered significant.Results and Discussion
Figure 1 shows the time course contrast enhancement for three different
ROIs: tumor, contralateral brain, and muscle on the representative animals. Our results indicate the signal enhancements of 0-17%
in the tumors at 2hr post contrast using GdDO3NI with complete clearance from
contralateral brain and muscle tissue. The comparison between
enhanced MR imaging in the two cohorts with similar tumor sizes shows the 9L tumor have little to no hypoxia, while the C6 tumor exhibits considerable enhancement
i.e. higher retention of contrast agent at 2hr post contrast. Table
1 summarize the tumor volume and the NDE value for the respective animal in
each cohort. To study if there was any correlation between
tumor size and the NDE value the correlation graphs were generated as Figure 2.
There was no correlation between the tumor size and NDE in C6 group with a weak
correlation for 9L (r2=0.53); however, the 9L cohort showed a good correlation between
the tumor size and the NDE value for tumors with positive NDE values (r2= 0.99). This indicates that
the C6 tumors develop hypoxic regions early and is not correlated with its
size, which is in good agreement with the published reports[1]. Conclusion
GdDO3NI allowed imaging of hypoxia in two brain
tumor models using T1 wt DCE MRI. Our results indicate the presence of hypoxia
in C6 tumors at a range of sizes as well as in large (> 20 mm3) 9L
tumors. Acknowledgements
No acknowledgement found.References
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