Clinical Trial Details
— Status: Enrolling by invitation
Administrative data
NCT number |
NCT04952831 |
Other study ID # |
M2020408 |
Secondary ID |
|
Status |
Enrolling by invitation |
Phase |
|
First received |
|
Last updated |
|
Start date |
September 1, 2020 |
Est. completion date |
September 1, 2024 |
Study information
Verified date |
September 2020 |
Source |
Peking University Third Hospital |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
diffusion MRI in evaluates and predicts prognosis in CSM
Description:
Cervical spondylotic myelopathy (CSM) is a spinal dysfunction disease common in the elderly
population caused by cervical spine degeneration, spinal canal stenosis, and spinal cord
compression. It may result in reduced quality of life or even disability. With the increased
life expectancy of today's population, the incidence of CSM is increasing. Surgery is
recommended to reduce compression of the spinal cord. However, due to individual differences
and variations in spinal cord injury severity, the prognosis after surgery is often
unpredictable. Therefore, proper evaluation of spinal cord function and prognosis prediction
are important considerations for the clinical decision of whether to operate and selection of
appropriate operation time. To achieve this goal, medical images are used to correctly
evaluate the damage and recovery potential of neurons. Magnetic resonance imaging (MRI)
provides spinal cord macrostructure details and can detect spinal cord damage. Clinically,
conventional MRI is often used to confirm a CSM diagnosis and predict prognosis. However, MRI
assessments, including increased signal intensity (ISI) and T1 hypo-intensity, might not be
consistent with clinical manifestations or prognostic expectations.
Diffusion MRI (dMRI) enables early diagnoses and prognostic predictions due to its
microstructure assessment advantages. The diffusion of water molecules is restricted due to
structural barriers, such as axon membranes and myelin sheaths. Using the microscopic
movement of water molecules, dMRI can detect microstructures indirectly using a model with
specific underlying probability distribution function of diffusion. Three models are widely
applied clinically: diffusion tensor imaging (DTI), diffusional kurtosis imaging (DKI), and
neurite orientation dispersion and density imaging (NODDI). DTI assumes the diffusion
distribution function to be Gaussian, DKI assumes it to be non-Gaussian, and NODDI assumes it
to be multi-compartmental (intracellular pool, extracellular pool, and free water). Previous
studies suggested the potential application value of DTI and DKI in patients with CSM;
however, these models had limited specificity and were not sufficient to diagnose CSM in a
clinical setting. Compared with DTI and DKI, NODDI has been shown to characterize spinal cord
microstructure better.