Facioscapulohumeral Muscular Dystrophy (FSHD) is one of the most frequent muscular dystrophies in the adulthood. Multi-spectral optoacoustic tomography (MSOT) is an innovative imaging technique able to non-invasively characterize the molecular composition of the muscle tissue. With this pilot study we will explore the performance of MSOT imaging in FSHD patients and correlate the findings with clinical and MRI data, with the final aim to identify new disease biomarkers.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
OTHER
Masking
NONE
Enrollment
20
Imaging of muscles applying Multi-spectral optoacoustic tomography (MSOT)
Fondazione Policlinico Gemelli IRCCS
Rome, Italy
RECRUITINGOptoacoustic Absorption Spectrum (peaks at different wavelengths in arbitrary units) in FSHD muscles
Definition of the Optoacoustic Absorption Spectrum (glycogen, lipid, collagen, hemo/myoglobin peaks at different wavelengths in arbitrary units) of muscles of FSHD patients and evaluation of the differences compared to healthy volunteers.
Time frame: 6 months
Medical Research Council (MRC) Muscle Strength Grades
Correlation of spectra detected by MSOT with clinical scores
Time frame: 6 months
Disease severity (Clinical Severity Scale CSS)
Correlation of spectra detected by MSOT with Clinical Severity Scale(CSS), a global index of disease severity specific for FSHD (from 0 to 5 points).
Time frame: 6 months
Phenotyping (FSHD Comprehensive Clinical Evaluation Form CCEF)
Correlation of spectra detected by MSOT with the phenotype classification derived applying the FSHD Comprehensive Clinical Evaluation Form CCEF (4 categories)
Time frame: 6 months
Dynamometer test of muscle strength
Correlation of spectra detected by MSOT with muscle strength (in N) assessed using a hand held dynamometer
Time frame: 6 months
Magnetic resonance imaging
Correlation of spectra detected by MSOT with magnetic resonance imaging parameters (presence of fatty replacement in T1-weighted sequences, presence of increased signal in short-tau inversion recovery sequences)
Time frame: 6 months
Intraclass correlation coefficient
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Evaluation of intra and inter-observer agreement in the estimate of Optoacoustic Absorption Spectra using Intraclass correlation coefficient (ICC) of the repeated measurements
Time frame: 6 months