Raj Swaroop Lavadi, Kainen L Utt, Stephen N Housley, Sirisha Nouduri, Tsen-Hsuan Lin, Jacob Blum, Brenton H Pennicooke, Sheng-Kwei Song, Nitin Agarwal
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引用次数: 0
Abstract
Purpose: To utilize diffusion basis spectrum imaging (DBSI), an advanced imaging modality that has been shown to distinguish between co-occurring white matter pathologies, to discern changes in the optic nerves among patients with traumatic brain injury (TBI).
Methods: Seven patients with TBI were prospectively recruited to undergo a 3 T magnetic resonance imaging brain scan within two months of injury, and follow-up scans at 6- and 12-months. The optic nerve was considered the region of interest. Manual alignment of the optic nerve slices was performed, followed by the deployment of an in-house script to obtain post-processed data. Diffusion tensor imaging and DBSI-derived axial (AD) and radial diffusivity (RD), reflecting axon and myelin integrity, respectively, were compared. DBSI-derived signal intensities were also compared. The Kruskal-Wallis test was performed to determine significance (p < 0.05).
Results: Fourteen optic nerves from patients were compared with 18 optic nerves from control patients. The values of DTI RD were significantly greater among patients than controls (p < 0.05) across all timepoints, with no corresponding differences in the AD. However, a decrease in DBSI AD (p < 0.01) observed only at the initial scan, coupled with a stable RD, was observed among patients. Comparisons between DBSI signal intensities among patients showed no appreciable differences; however, the fiber fraction was significantly lower (p < 0.05) at all timepoints.
Conclusion: Acute reductions in DBSI-derived AD and sustained reductions in fiber fraction can serve as a potential biomarker for axonal injury in the optic nerves of patients with TBI.
期刊介绍:
Magnetic Resonance Imaging (MRI) is the first international multidisciplinary journal encompassing physical, life, and clinical science investigations as they relate to the development and use of magnetic resonance imaging. MRI is dedicated to both basic research, technological innovation and applications, providing a single forum for communication among radiologists, physicists, chemists, biochemists, biologists, engineers, internists, pathologists, physiologists, computer scientists, and mathematicians.