Poster No:
2382
Submission Type:
Abstract Submission
Authors:
Mayan Bedggood1, Christi Essex1, Samantha Holdsworth2,3, Amabelle Voice-Powell1, Richard Faull3, Alice Theadom1, Mangor Pedersen1
Institutions:
1Auckland University of Technology, Auckland, New Zealand, 2Mātai Medical Research Institute, Gisborne, New Zealand, 3Centre for Brain Research, University of Auckland, Auckland, New Zealand
First Author:
Mayan Bedggood
Auckland University of Technology
Auckland, New Zealand
Co-Author(s):
Christi Essex
Auckland University of Technology
Auckland, New Zealand
Introduction:
Magnetic resonance imaging (MRI)-based T2 relaxometry is a quantitative technique measuring transverse components of the magnetisation dephase during an MRI scan. Importantly, T2 relaxation time increases as tissue water content increases (Liu et al., 2018). This indication of elevated fluid can indicate things such as gliosis (the proliferation of glial cells in injured brain areas), and increased inflammation (Cheng et al., 2012). This novel method can assess microstructural tissue alterations, such as inflammation, accompanying neurological conditions, such as mild traumatic brain injury (mTBI) (Pedersen et al., 2020). In the current study we aim to (1) investigate the utility of this objective method in discovering potential indicators of inflammation in individuals with acute mTBI (compared to healthy control estimates), and (2) link the findings to what their clinical radiologist report indicates about their brain health.
Methods:
This is a case series with two groups of male participants: those with acute sports-related mTBI sustained within 14 days, (mean age = 21.4 years, n = 20) and controls with no mTBI in the last 12 months (mean age = 22.4 years, n = 44). MR images were acquired using a 3T Siemens MAGNETOM Vida fit scanner located at the Centre for Advanced Magnetic Resonance Imaging at The University of Auckland. T2 maps were acquired using a multi-echo relaxometry sequence and with 8 echoes (TE = 29.0, 58.0, 87.0, 120.0, 140.0, 170.0, 200.0, 230.0 ms, TR = 6s, voxel size = 2x 2x 2mm, FA = 180°. T1-weighted anatomical images were collected for quality control and normalisation using a magnetization-prepared rapid gradient echo (MPRAGE) sequence (TR = 1.94s, TE = 2.49ms, voxel size = 0.9x 0.9x 0.9 mm, FA = 9°). Processing and analyses were conducted using Matlab version 9.13.0 (R2022b; MathWorks Inc., Natick, MA), including skullstripping, coregistering and normalising the images to MNI152 space. A monoexponential function with a baseline at each voxel was fitted to calculate the T2 relaxation time for each participant (Pedersen et al., 2020; Pell et al., 2004). Voxel-wise z-scores were obtained reflecting T2 relaxometry times between single mTBI participants and average T2 relaxometry times of all 44 controls, after applying a rank-based normalisation invariant algorithm. A False Discovery Rate at p < .05 was applied to derive statistically significant voxels for individual mTBI participants.
Results:
19/20 (95%) of mTBI participants had at least one voxel cluster with significantly higher T2 relaxometry times than controls (Figure 1). Although the majority of significant regions were unique to specific participants, we also observed areas common to several individuals, including the cingulate cortex, insula and superior parietal cortex (seen across ~1/3 of mTBI individuals, Figure 2). Furthermore, these potential pathologies were not aligned with the radiologist reports, that were all indicated to have either (a) no findings, or (b) incidental findings were not deemed to be clinically significant.
Conclusions:
Increased T2 relaxometry in individuals with mTBI suggests the presence of acute inflammatory processes, despite no gross brain abnormalities on radiologist reports. As well as individual variation in T2 relaxometry times, there were significant voxel clusters that multiple participants had in common, including the cingulate cortex, insula, cerebellum and superior partietal cortex. This could indicate that certain regions are more susceptible to accumulated fluid content following mTBI. Understanding the role that inflammation plays acutely post-mTBI could have implications for individualised treatment and improved recovery outcome. T2 relaxometry provides individual, detailed maps of potential brain abnormalities and may offer new insights into a patient's injury. Future research would benefit from repeating all MRI scans to evaluate whether T2 relaxometry normalises at clinical recovery.
Neuroanatomy, Physiology, Metabolism and Neurotransmission:
Anatomy and Functional Systems
Cortical Anatomy and Brain Mapping
Neuroanatomy Other
Novel Imaging Acquisition Methods:
Imaging Methods Other 1
Physiology, Metabolism and Neurotransmission :
Neurophysiology of Imaging Signals 2
Keywords:
MRI
Neurological
STRUCTURAL MRI
Structures
Trauma
Other - Neuroinflammation
1|2Indicates the priority used for review
Provide references using author date format
Cheng, H. L. M., Stikov, N., Ghugre, N. R., & Wright, G. A. (2012). Practical medical applications of quantitative MR relaxometry. Journal of Magnetic Resonance Imaging, 36(4), 805-824. https://doi.org/10.1002/jmri.23718
Liu, L. I., Yin, B. O., Shek, K., Geng, D., Lu, Y., Wen, J., Kuai, X., & Peng, W. (2018). Role of quantitative analysis of T2 relaxation time in differentiating benign from malignant breast lesions. Journal of International Medical Research, 46(5), 1928-1935. doi: 10.1177/0300060517721071
Pedersen, M., Makdissi, M., Parker, D. M., Barbour, T., Abbott, D. F., McCrory, P., & Jackson, G. D. (2020). Quantitative MRI as an imaging marker of concussion: evidence from studying repeated events. European Journal of Neurology, 27(10), e53-e54. https://doi.org/10.1111/ene.14377
Pell, G. S., Briellmann, R. S., Waites, A. B., Abbott, D. F. & Jackson, G. D. (2004). Voxel-based relaxometry: A new approach for analysis of T2 relaxometry changes in epilepsy. NeuroImage 21(2), 707–713. https://doi.org/10.1016/j.neuroimage.2003.09.059