Multiple sclerosis
Conditions
Brief summary
The respective proportion of lesions classified as homogeneously active, rim active and inactive for every single patient with MS. Classification of lesions will be based on predefined data-driven threshold of activity in lesions subareas (Hamzaoui et al, 2023).
Detailed description
- Regional mean and voxel wise individual maps of innate immune cells activation derived from baseline [18F]-DPA-714 PET : they will be expressed as mean DVR values and as percentage of voxel classified as “DPA+”, for each region of interest: whole brain, NAWM, grey matter, cortex, thalami, deep grey matter, white matter T2 lesions, white matter T1 lesions. - Clinical and neuropsychological scores collected at baseline - An accessible pipeline for the processing of DPA-714 data - MRI data
Interventions
Sponsors
Eligibility
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The respective proportion of lesions classified as homogeneously active, rim active and inactive for every single patient with MS. Classification of lesions will be based on predefined data-driven threshold of activity in lesions subareas (Hamzaoui et al, 2023). | — |
Secondary
| Measure | Time frame |
|---|---|
| - Regional mean and voxel wise individual maps of innate immune cells activation derived from baseline [18F]-DPA-714 PET : they will be expressed as mean DVR values and as percentage of voxel classified as “DPA+”, for each region of interest: whole brain, NAWM, grey matter, cortex, thalami, deep grey matter, white matter T2 lesions, white matter T1 lesions. - Clinical and neuropsychological scores collected at baseline - An accessible pipeline for the processing of DPA-714 data - MRI data | — |
Countries
France