Diffusion Tensor Imaging, MRI, Radiculopathy Lumbar
Conditions
Keywords
Radiculopathy Lumbar, MRI, Diffusion tensor imaging, Multiband technique
Brief summary
Diffusion tensor imaging (DTI) is a non-invasive MRI technique offering a functional approach that provides morphological information about the microstructures of the nerve roots. DTI is a widely used neuroimaging technique and is a current topic of research in the field of peripheral nerve imaging. The aim of this work is therefore to improve DTI sequences by specifically evaluating the contribution of the multiband technique in healthy volunteers.
Detailed description
For every healthy volunteer will be acquired: * a morphological sequence * a reference diffusion tensor sequence covering three lumbar stages (reference DTI), * a diffusion tensor sequence acquired in multiband technique, covering three lumbar stages (optimized DTI), * a diffusion tensor sequence acquired in a multiband technique, covering a lumbar stage, of higher spatial resolution (centred DTI)
Interventions
DIAGNOSTIC_TESTOptimisation of DTI sequences
Optimisation of DTI sequences in the study of lumbar roots by MRI
Sponsors
Lille Catholic University
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to 40 Years
Healthy volunteers
Yes
Inclusion criteria
* Person without history of lumbar surgery * Person who has previously consented
Exclusion criteria
* MRI contraindications (pace maker, cardiac defibrillator,...) * Claustrophobia * Pregnant woman * Person without social security * Person with a guardianship * Person carrying metallic surgical material (spine, pelvis, abdomen)
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Image quality measured as signal-to-noise ratio and contrast-to-noise ratio | Day 0 | Comparison of the image quality between DTI optimized and DTI of reference. The signal-to-noise ratio is a measure that compares the level of a desired signal to the level of background noise. Mathematically, the signal-to-noise ratio is the quotient of the (mean) signal intensity measured in a region of interest and the standard deviation of the signal intensity in a region outside the anatomy of the object being imaged. The contrast-to-noise ratio is a measure of image quality based on a contrast rather than the raw signal. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Fraction of anisotropy and apparent diffusion coefficient | Day 0 | Comparison of fraction of anisotropy, and apparent diffusion coefficient between DTI optimized and DTI of reference. The measurement of fraction of anisotropy, and apparent diffusion coefficient provides robust values for quantifying the degree of microstructural abnormalities of nerves. |
| Concordance of observed agreement measured by Cohen's kappa coefficient | Day 0 | Evaluation of interobserver accordance for multiband acquisitions (optimized DTI) |
| Concordance of observed agreement measured by Intra-class correlation coefficient | Day 0 | Evaluation of interobserver accordance for multiband acquisitions (optimized DTI) |
Countries
France
Outcome results
None listed