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NCT07502989

Muscle Health Measurements Using Electrical Impedance Myography

Recruiting
Not specifiedAges 18–89Observational
Beth Israel Deaconess Medical Center
~150 participants
Updated 2026-04-03 on ClinicalTrials.gov
What's tested:Electrical Impedance Myography

At a glance

Recruiting sites
1 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Pathology-specific penalized regression development. Predictive algorithms connecting EIM data sets to MRI outcomes representative of muscle pathology, including muscle cross-sectional area, fat content, edema, and fiber disorganization.
Measured over Two years

Conditions

Myopathy
Muscular Dystrophies
Myositis
Myofibrillar Myopathy
Congenital Myopathy
Distal Myopathy
Myopathies

Explore related trials

Congenital myopathyDistal Muscular DystrophyHealthy controlMuscular DystrophyMyofibrillar MyopathyMyopathyMyositis

Where it's being run

1 sites across 1 states
Massachusetts1

Study leadership

  • Pushpa Narayanaswami, M.D. · PRINCIPAL_INVESTIGATOR · Beth Israel Deaconess Medical Center

Who to contact

Amy Lewandowski
[email protected]
617-667-2545
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Eligibility criteria

Inclusion

Ages 18-89
Evidence of a primary myopathic condition as determined by detailed chart review, including results of genetic testing, serological data, or previous muscle biopsy

Exclusion

Inability to lie flat or history of claustrophobia
\>1+ lower extremity edema
Presence of multiple other pathologies affecting lower extremity muscles to be studied
Pregnancy
Contraindications for MRI scanning - e.g. MRI incompatible pacemaker, deep brain stimulator, or lower extremity hardware
Contraindications to undergo DXA Scan
Any studies/scans with a radioisotope within the past 15 days
Any imaging with radiographic contrast in the past 7 days
Weight greater than 450 lbs
Calcium supplements or antacids containing calcium in the past 24 hours
Severe obesity with BMI \> 35 kg/m2, given difficulties fitting in MRI scanner and impact of severe obesity on EIM data
Chronic skin conditions with ulcerations which would interfere with EIM electrode contact or be uncomfortable for the participant

What this trial measures

  • Pathology-specific penalized regression development. Predictive algorithms connecting EIM data sets to MRI outcomes representative of muscle pathology, including muscle cross-sectional area, fat content, edema, and fiber disorganization.Two years

    A. EIM data preparation: Outputs including resistance, reactance, and phase values at 41 frequencies between 10 kHz to 10 MHz in both longitudinal and transverse directions, will be used. Raw EIM data will be filtered using an automated algorithm that deletes statistically defined errant individual frequency points. B. MRI analysis of data after preparation C. Penalized regression approach-basic approach using least absolute shrinkage and selection operator (Lasso)21 for assessing the entire multifrequency set up to 10 MHz will be used to develop predictive models of EIM with further nested cross validation. D: This trained model will then be applied specifically to the remaining 20% of data which will serve as the test set and final values in RMSE will then be calculated for this second data set. The investigators will define success as achieving an R value 0.6 or greater, which is considered a moderate-to-strong association for most clinical outcomes