Gavin Hanson1, Prateek Prasanna1, Jay Patel1, Anant Madabhushi1, and Pallavi Tiwari1
1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States
Synopsis
Glioblastoma Multiforme (GBM) is very aggressive form of primary brain tumor, and a key part of GBM
pathogenesis is the mass effect of the tumor within the ridge container of the
brain vault. Mass effect is strongly associated with mortality in patients with
GBM. In this work, we seek to quantify the extent of mass effect throughout the brain
volume as manifested on MRI to predict patient survival in GBM patients. We
use a MRI-driven tensor based morphometry approach, combined with
statistical mapping to allow the identification of regions where the
deformation associated with mass effect is correlated with overall survival
after diagnosis. Purpose
Despite
multimodal aggressive treatment, the median survival time after diagnosis for Glioblastoma
Multiforme (GBM) patients is only 12 months, with 5-10% of the patients
surviving for more than 3 years (long-term survivors). Within the confined
environment of the brain vault, tumor growth, especially in an aggressive tumor
such as GBM, forces the compression of surrounding brain tissue resulting in
increased intracranial pressure, exacerbation of vasogenic edema, and brain
herniation
1. A study on GBM pathology identified herniation or gross
distortion of the brainstem as the proximal cause of death in 60% of GBM cases
2.
In light of these observations, a few efforts have been made to identify a
relationship between extent of tumor mass effect as manifested on MRI and
overall survival. However, the results have been conflicting and ambiguous
3,
4, partly on account of a simplistic 2-dimensional distance-to-the-midline
measurement used to capture midline shift due to mass effect on MRI. More
recently, several efforts have been made to explore radiomics-based approaches
to capture per-voxel textural differences across enhancing and edematous
regions between long-term and short-term GBM survivors
5, 6. In this work, we present
the first attempt of its kind, to statistically identify and characterize neuro-anatomical
differences on MRI caused due to mass effect, in populations of GBM patients
with long-term versus short-term survival characteristics. The anatomical
differences are captured using tensor-based morphometry (TBM), a neuroimaging tool
that involves computing a deformation field to identify differences in the
relative positions of brain sub-structures across the two populations (with
respect to a healthy template). The deformations are computed as a log
(Jacobian) measurement to measure the expansion (log (Jacobian)> 0) or contraction
(log (Jacobian)< 0) of local brain matter, relative to the healthy template.
The hypothesis of this work is that mass effect as manifested on anatomical MRI,
differentially deforms the neighboring structures in the brain, and will lead
to significantly higher deformations in patients with more aggressive GBM
(short-lived), from those with less aggressive disease (long-lived).
Methods
A total of 40 pre-operative Gadolinium (Gd)-contrast
T1w, T2w, and FLAIR MRI studies with pathologically
proven GBM were retrospectively obtained from The Cancer Imaging Archive. Our cohort
had a median survival of 15.1 months, and was used as a cutoff to divide the
population into long-lived and short-lived studies (Table 1). Pre-processing steps
included co-registration of all protocols from a given study, bias field
correction, intensity standardization, and skull stripping. Enantiomorphic
normalization was used to remove tumor lesions from T1w images to
allow for the creation of a minimum deformation population template. This
template was then used within GLISTR, a tumor-aware registration tool that is
driven by healthy and tumor tissue segmentations obtained from multi-parametric
MRI, to register every patient study with respect to the template
7. Warp
fields generated from the registration were converted to Jacobian determinant
images, and were used in a voxel-wise two-tailed t-test with a highly
conservative cluster-mass based family-wise error correction with a
cluster-forming threshold of t=3.3, to identify areas of the brain where
deformation associated significantly with overall survival. To decrease the
potential confounding effects of age and the large deformations in the
immediate vicinity of tumors, these factors were included in the statistical model
as nuisance regressors, to mitigate their effect as outliers.
Results
and Discussion
Figure 1 shows the per-voxel quantitative statistical
map as quantified via the t-statistics (cluster corrected with p(cluster) < 0.001, at a conservative
cluster forming threshold of t=3.3) demonstrating
areas that show marked decrease in volume in short-lived relative to long-lived
studies (yellow-red) and areas that show marked increase in volume in
short-lived relative to long-lived studies (blue-light blue). Relative compression
of cerebrospinal fluid (CSF) was observed in short-lived patient population
around the cerebellum, which may imply that subarachnoid space is being
compressed to a significantly greater extent in individuals with poor outcomes,
and may ultimately be a cause of brain herniation. Similarly, the expansion of
cortical volume at the medial surface of the cerebral hemispheres and around
the ventricles in short-lived patients is consistent with deformation of the
cortex across the midline (midline-shift) and into the ventricles.
Conclusion
We presented the initial results of a tensor
based morphometry approach to understand the impact of mass effect on different
substructures in the brain as observed on treatment-naïve MRI, and its
association with patient survival in GBM patients. Our preliminary results
suggest that prominent deformation changes in CSF in cerebellum and the medial
cortical surfaces at the central fissures on treatment-naïve MRI may serve as
early indicators of poor survival in Glioblastoma.
Acknowledgements
No acknowledgement found.References
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