Patients who have been diagnosed with Cervical Spondylotic Myelopathy will be asked to undergo an MRI using diffusion basis spectrum imaging (DBSI) technology. The patients will have this MRI preoperatively and at 24 months postop. The investigators believe that with this imaging, biomarkers will be able to be seen to assist in prediction of long term outcomes in patients with spinal cord compression. These patients will be compared to healthy cohorts who will also undergo an MRI using the DBSI technology.
CSM is the most common form of spinal cord injury and is the leading cause of progressive disability in patients over the age of 65. A major shortcoming limiting the clinical management of CSM is the lack of quantifiable metrics to 1) base clinical decisions and 2) predict potential for functional recovery following surgical intervention. DBSI MRI will provide imaging biomarkers to more reliably predict a patient's clinical course, response to therapy, and long-term prognosis. Patients who are diagnosed with CSM will have an MRI using the DBSI technology preoperatively and at 24 months. Surgical patients will be assessed with the Neck Disability Index (NDI), Disability of the Arm, Shoulder and Hand (DASH), hand grip dynamometer and Manual Muscle Testing (MMT), the modified Japanese Orthopaedic Association scale (mJOA), and the Major Depression Inventory (MDI), the Short Form-36 (SF-36) and Nurick scoring. A control group of healthy volunteers will have an MRI using the DBSI technology when enrolled and then again between 12-24 months later.
Study Type
OBSERVATIONAL
Enrollment
71
The MRI will be done with diffusion basis spectrum imaging
Washington University
St Louis, Missouri, United States
Accurate prediction of neurologic outcomes after surgery
Outcome measure will assess spinal cord DBSI pathological metrics at baseline and at 24 months.
Time frame: 24 months
Assessment of effects of blood flow deficits on spinal cord pathology
Outcome measure will assess effects of blood flow deficits on spinal cord pathology and determine the accuracy of axonal loss quantification in CSM
Time frame: 24 months
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