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Diffusion MRI in Cervical Spondylotic Myelopathy (CSM)

Predictive Value of Diffusion MRI in Cervical Spondylotic Myelopathy

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03296592
Acronym
CSM
Enrollment
71
Registered
2017-09-28
Start date
2018-01-29
Completion date
2025-12-29
Last updated
2026-03-17

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cervical Spondylotic Myelopathy

Keywords

myelopathy, diffusion MRI, spinal cord injury, spinal cord compression, spondylosis, cervical

Brief summary

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.

Detailed description

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.

Interventions

DIAGNOSTIC_TESTMRI with DBSI technology

The MRI will be done with diffusion basis spectrum imaging

Sponsors

Washington University School of Medicine
Lead SponsorOTHER
National Institute of Neurological Disorders and Stroke (NINDS)
CollaboratorNIH

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 75 Years
Healthy volunteers
Yes

Inclusion criteria

* History of ongoing spinal cord compression, * clinical evidence of CSM as determined by signs and symptoms including, but not limited to loss of manual dexterity, extremity weakness, sensory abnormalities, quadriparesis, loss of proprioception, and positive Babinski's or Hoffman's sign.

Exclusion criteria

* pregnant * having an MRI incompatible device * having a known diagnosis of amyotrophic lateral sclerosis, multiple sclerosis, rheumatoid arthritis, concomitant thoracic and/or lumbar stenosis, spine tumor or HIV-related myelopathy and having systemic instability or being deemed unable to tolerate standard MRI sequencing.

Design outcomes

Primary

MeasureTime frameDescription
Accurate prediction of neurologic outcomes after surgery24 monthsOutcome measure will assess spinal cord DBSI pathological metrics at baseline and at 24 months.

Secondary

MeasureTime frameDescription
Assessment of effects of blood flow deficits on spinal cord pathology24 monthsOutcome measure will assess effects of blood flow deficits on spinal cord pathology and determine the accuracy of axonal loss quantification in CSM

Countries

United States

Contacts

PRINCIPAL_INVESTIGATORWilson Z Ray, MD

Washington University School of Medicine

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 18, 2026