Study Results
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Basic Information
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ENROLLING_BY_INVITATION
40 participants
OBSERVATIONAL
2024-11-30
2026-11-30
Brief Summary
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The primary objective is to characterize the distribution and severity of muscle degeneration using magnetic resonance imaging (MRI) and correlate these findings with motor functionality profiles in a cohort of FSHD patients.
Secondary objectives include:
Describing gait and posture through the analysis of functional parameters using 3D-motion capture technologies.
Quantifying changes in gait and posture parameters before and after personalized orthopedic interventions, assessed with functional clinical scales and 3D-motion capture analysis.
This single-center, observational study will recruit 40 genetically confirmed FSHD patients from routine clinical follow-ups at the Policlinico Gemelli. Patients will undergo MRI to assess the degree of muscle fatty replacement (T1-score) and 3D Gait Analysis to capture biomechanical parameters such as kinematics, ground reaction forces, and muscle activation. Functional assessments will include tests like the Six-Minute Walk Test (6MWT) and Timed Up \& Go Test (TUG), alongside standardized scales for balance, fatigue, pain, and quality of life.
The study seeks to identify novel clinical and biomechanical outcome measures that can stratify FSHD patients and evaluate therapeutic interventions. By correlating MRI patterns with motor deficits and analyzing the impact of orthopedic devices, the study aims to inform personalized rehabilitation strategies and support the design of clinical trials.
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Detailed Description
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This study is designed to explore the relationship between structural changes observed on MRI and functional motor performance in a cohort of adult FSHD patients. By combining whole-body MRI with standardized clinical evaluations and advanced 3D motion analysis, the project aims to provide a multidimensional characterization of motor impairment in FSHD.
The protocol foresees the acquisition of MRI scans and gait analysis data within a defined temporal window, ensuring comparability of structural and functional information. MRI data will be analyzed to derive a semiquantitative T1-score reflecting the burden of fatty infiltration, as well as STIR sequences for signs of muscle inflammation. These imaging findings will then be correlated with clinical outcome measures, including validated severity scales, timed functional tests, and motion capture-derived biomechanical parameters.
An additional exploratory component concerns the assessment of personalized orthopedic interventions, with pre- and post-application gait analysis sessions. This approach will allow the evaluation of the short-term functional impact of targeted assistive devices, generating insights for individualized rehabilitation strategies.
The expected contribution of this study is twofold: first, to validate MRI-based biomarkers and biomechanical metrics as reliable outcome measures for FSHD; and second, to establish an integrated framework for assessing motor impairment that may be applied in future interventional trials and in routine clinical management.
Conditions
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Study Design
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CASE_ONLY
OTHER
Eligibility Criteria
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Inclusion Criteria
Availability of:
Muscle MRI images. 3D Gait Analysis data (with or without personalized orthopedic aids). Both MRI and Gait Analysis performed within a maximum interval of 6 months from each other.
Regular neurological follow-ups as part of routine clinical care. Signed informed consent for participation in the study.
Exclusion Criteria
Unavailability of:
Muscle MRI images. 3D Gait Analysis data performed within a maximum interval of 6 months from each other.
Refusal or inability to provide signed informed consent for participation in the study.
18 Years
ALL
No
Sponsors
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Fondazione Policlinico Universitario Agostino Gemelli IRCCS
OTHER
Responsible Party
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Principal Investigators
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Enzo Ricci
Role: PRINCIPAL_INVESTIGATOR
Fondazione Policlinico Universitario A. Gemelli, IRCCS
Locations
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UOC Neurologia
Rome, , Italy
Countries
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Other Identifiers
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6687
Identifier Type: -
Identifier Source: org_study_id
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