Diffusion tensor imaging as an additional postoperative prognostic predictor factor in cervical myelopathy patients:...

Area of Science:

• Neurology
• Radiology
• Biomedical Engineering

Background:

• Degenerative cervical myelopathy diagnosis relies on imaging like MRI, CT, and X-rays.
• Diffusion tensor imaging (DTI) maps water diffusion in spinal cord tracts, offering unique insights.
• Changes in anisotropy at stenotic levels may predict surgical outcomes.

Purpose of the Study:

• To evaluate the prognostic value of DTI in predicting postoperative outcomes for degenerative cervical myelopathy.
• To establish the predictive accuracy of DTI parameters for clinical improvement.

Main Methods:

• 30 patients with degenerative compressive cervical myelopathy underwent pre- and postoperative DTI.
• Fractional anisotropy (FA) and apparent diffusion coefficient (ADC) values were measured.
• Pre- and postoperative modified Japanese Orthopedic Association (mJOA) scores were calculated to assess clinical status.

Main Results:

• FA values significantly improved postoperatively.
• Preoperative FA and ADC correlated with neurological status; postoperative FA remained significant.
• Regression models using FA and ADC predicted postoperative mJOA scores with notable accuracy (FA: 66.7%, ADC: 28.7%).

Conclusions:

• DTI tractography serves as a valuable objective prognostic tool for surgical planning in cervical myelopathy.
• Larger studies are needed to enhance the precision of regression coefficient determination.