Jacob Alappatt1, Drew Parker1, Abdol Aziz Ould Ismail1, Junghoon Kim2, and Ragini Verma1
1Penn Patho-Connectomics Lab, Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Molecular, Cellular, and Biomedical Sciences, CUNY School of Medicine, The City College of New York, New York, NY, United States
Synopsis
As the prevalence of diffusion MRI for clinical use grows, it is important
to address the influence of injury-related extracellular water on the clinical
interpretation of diffusion measures in
conditions such as traumatic brain injury (TBI). The presence of extracellular free
water from edema pollutes the estimation of diffusion measures, leading to
flawed conclusions about the microstructure of the white matter. We demonstrate
that Fernet, a robust single-shell free-water elimination method, can be used
to decouple the effects of extracellular edema and tissue damage, to improve
clinical understanding of the effects of injury on underlying white matter
structure.
INTRODUCTION
Accurate estimation of measures obtained from diffusion MRI (dMRI)
studies of moderate to severe Traumatic Brain Injury (TBI) is a clinically
significant problem. The presence of increased water in the extracellular space
of the brain contaminates the dMRI signal, resulting in ambiguity in
interpretation of diffusion tensor (DT) measures1, and confounding
clinical interpretations of white matter (WM) integrity in TBI patients. Free-water
elimination (FWE) is an alternative to the common DT fit to dMRI data, which
divides the signal into isotropic extracellular compartment representing free
water (fw) and an anisotropic compartment representing tissue. Current
state-of-the-art FWE methods require advanced multi-shell diffusion sequences,
but single-shell acquisitions are still ubiquitous in the clinic. We propose
the use of Fernet2, a robust single-shell FWE protocol shown to
accurately estimate the fw compartment in simulated and human data, to aid in
characterization of the effects of injury and recovery in WM in a longitudinal
study of moderate to severe TBI patients. We hypothesize that Fernet enables interpretations
axonal swelling and damage after TBI via its free-water and tissue compartments,
that are ambiguous in a standard DT fit.METHODS
We used dMRI data of 45 moderate to severe TBI
patients (with at most 3 scans at 3, 6, 12 months post-injury) and 35 healthy controls
(Fig 1). dMRI was acquired at TR/TE=6,500/84
ms, 30 directions (b=1000s/mm2) and 7 b=0 images, repeated twice. Data
was denoised, eddy-, motion- and bias-corrected. A standard tensor model (std)
was fit to each voxel and diffusion measures of fractional anisotropy (FA-std)
and axial diffusivity (AX-std) were computed. Fernet was used to generate free
water (fw)-corrected diffusion measures FA-fw and AX-fw, and the free-water volume
fraction (VF). Voxelwise t-tests
(controlled for age and sex, corrected for multiple comparisons) on VF maps of
patients against controls were computed at all three time points to elucidate
the presence of extracellular water. Knowing that the presence of an isotropic
compartment would affect the diffusion measures, we repeated the same t-tests
on AX and FA maps, both ‘std’ and ‘fw’. RESULTS
VF maps represent the isotropic compartment ‘removed’ through FWE. VF
was significantly increased in patients at each time point (see Fig 2). Patients
had a significantly higher AX-std than controls. The number of significant
voxels increased over time with patients diverging from controls with time (Fig3
(a, b, c)). AX-fw maps showed a reduction in patients at the first time point
that continued to increase with time, tending towards the controls’ baseline (Fig3
(d, e, f)). FA-std was lower in patients than controls, that continued to
increase across time, tending to the controls’ baseline (Fig 4 (a,b,c)). FA-fw revealed a similar trend of decreased
FA-fw in patients increasing across time, but the number of WM voxels showing a
significant effect was lower than that of the FA-std maps (Fig 4 (d,e,f)). DISCUSSION
A major contributor to the neurocognitive deficits in TBI
patients is Diffuse Axonal Injury (DAI)3, which results in widespread
disruption in metabolic processes and architecture of axons. This eventually
leads to a buildup in free water around axonal bodies, making the interpretation
of diffusion measures challenging and unreliable.
Axial Diffusivity
reflects the underlying integrity and orientation of the WM fiber bundle. Thus,
an increased AX-std implies an increased fiber integrity in patients, which is
spurious as s DAI should manifest as a reduction in AX due to a breakdown in
fiber integrity. The increased VF in the patients could be attributed to
pathology related swelling and underlines the need for FWE. On doing so using
Fernet, patients showed a lower AX-fw tending towards the controls’ baseline
with time. VF is higher in patients and trends towards the controls as well.
This suggests that the effect of DAI-induced reduced AX seen in AX-fw, was obscured
in AX-std by the presence of extracellular water that drives diffusivity up. Fig
5 shows us that with each time point, the number of voxels with weaker effect
sizes reduces, possibly denoting recovery in regions that were not as severely
affected by the injury. The results in FA-std and FA-fw indicates the
free-water compartment was artificially lowering the FA values in the FA-std
maps, as well.CONCLUSION
Our results show that it is important to use free
water elimination in TBI studies, in order to recover and report true
underlying white matter microstructure. Additionally, free-water corrected AX
and VF maps are more sensitive to TBI-induced changes in WM than FA. Thus, FWE
paves the way for better TBI studies.Acknowledgements
This research was supported by the PA Department of Health award and the following National Institutes of Health (NIH) grants: 1R01NS096606 (PI: Ragini Verma) & R01NS092398 (PI: Junghoon John Kim).
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