Does diffusion tensor data reflect pathological changes in the spinal cord with chronic injury

Area of Science:

• Neuroscience
• Biomedical Engineering
• Radiology

Background:

• Chronic cervical spondylotic myelopathy involves progressive spinal cord damage.
• Magnetic resonance diffusion tensor imaging (DTI) offers quantitative insights into white matter integrity.
• Early detection of pathological changes is crucial for timely intervention.

Purpose of the Study:

• To establish a rat model of chronic cervical spondylotic myelopathy using epidural implantation.
• To evaluate the utility of DTI metrics in predicting pathological changes over time.
• To assess the potential of DTI for early diagnosis of cervical spondylotic myelopathy.

Main Methods:

• A rat model of chronic cervical spondylotic myelopathy was created by implanting spongy polyurethane material.
• Diffusion tensor imaging data were acquired at multiple time points post-implantation (4 hours to 1 week).
• Histopathological analysis using Hematoxylin-eosin and Luxol-fast-blue staining was performed.

Main Results:

• Fractional anisotropy values decreased in a time-dependent manner, indicating white matter damage.
• Average diffusion coefficient increased at later time points (72 hours and 1 week).
• Histopathology confirmed progressive neuronal loss and reduced nerve fiber density correlating with DTI findings.

Conclusions:

• DTI metrics, specifically fractional anisotropy and average diffusion coefficient, effectively reflect the degree of spinal cord compression injury.
• These DTI parameters show potential as reliable biomarkers for the early diagnosis of chronic cervical spondylotic myelopathy in preclinical models.