G70
Conditions
Interventions
Sponsors
Eligibility
Inclusion criteria
Inclusion criteria: Phase 1 (pilot phase): Inclusion criteria: 10 healthy controls aged 18 to 70 years: ? Absence of pathological changes in the musculature ? Voluntary participation, recruitment via notice board in the clinic 10 patients with NMD aged between 18 and 70 years: ? Confirmed NMD disease, e.g. via muscle biopsy or genetic testing, in close collaboration with the Friedrich Baur Institute (FBI; contact Prof Dr Benedikt Schoser) at LMU ? Voluntary participation, recruitment via the FBI Phase 2 (clinical phase): ? Confirmed NMD disease, e.g. via muscle biopsy or genetic testing, in close collaboration with the FBI ? Voluntary participation, all patients with NMD who receive an MRI of the musculature as part of routine clinical practice are eligible Phase 3 (longitudinal phase): ?Confirmed NMD disease, e.g. via muscle biopsy or genetic testing, in close collaboration with the FBI ? Voluntary participation, all patients with NMD who have already participated in the measurements in section 2 are eligible
Exclusion criteria
Exclusion criteria: Phase 1 (pilot phase): 10 healthy controls aged 18 to 70 years: ? Lack of capacity to consent ? General MRI contraindications 10 patients with NMD aged 18 to 70 years: ? Lack of capacity to consent ? General MRI contraindications ? Illness too severe to lie still in the MRI scanner for a longer period of time Phase 2 (clinical phase): Exclusion criteria: ? Lack of capacity to consent ? General MRI contraindications ? Illness too severe to lie still in the MRI scanner for a longer period of time Phase 3 (longitudinal phase): Exclusion criteria: ? Lack of capacity to consent ? General MRI contraindications ? Illness too severe to be able to lie still in the MRI scanner for a longer period of time
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The aim of our study is to establish quantitative muscle MR imaging in the clinical care of patients with NMD. To this end I. transfer the already developed quantitative MRI techniques to the clinical setting and evaluate their reproducibility in a clinical study. | — |
Secondary
| Measure | Time frame |
|---|---|
| II. investigate the diagnostic potential of quantitative MR biomarkers in correlation with clinical and histopathological parameters and analyse their predictive value in the longitudinal course. III. to develop an AI-supported, automatic segmentation and evaluation of the quantitative data in order to facilitate the clinical workflow. | — |
Countries
Germany
Contacts
Klinik und Poliklinik für Radiologie