ClinicalTrials.gg
RecruitingNCT07502989Updated Apr 3, 2026

Muscle Health Measurements Using Electrical Impedance Myography

An observational study in Myopathy, Muscular Dystrophies and Myositis, sponsored by Beth Israel Deaconess Medical Center. Recruiting at 1 site in United States. Open to participants aged 18 Years to 89 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-04-03.

Sponsored by Beth Israel Deaconess Medical Center · Observational

From the registry’s dates

  • Started Apr 2025; still recruiting 1 year 7 months later.
Study type
Observational
Model
Case-control
Time perspective
Prospective
Enrollment
150
Ages
18 Years to 89 Years
Sex
All
01

Where this study stands

Counted across the records on this site · 2026-11-12

Among 99 studies in Muscular Diseases with a site in United States — 21 open to participants now, 29 under way, 5 of them phase 3. Muscular Diseases · United States.

Planned enrollment
11th of 30
150 · median 70
Started
2025
with 5 others
Observational
31 of 99
9 open now
Primary completion
2027-06
later than 7 of 25 live
Registered
96th of 99
by date
Lead sponsor
4 of 99
Beth Israel Deaconess Medical Center

Among the 99 studies in Muscular Diseases with a site in United States, this one is the 11th largest by planned enrollment of the 30 observational ones, is one of 6 that started in 2025, is one of 31 observational ones, reaches primary completion later than 7 of the 25 other live ones, and was the 96th registered.

By phase

99 studies; the count open now beside each. This study's row is marked.

Observationalthis study31 · 9 open
No phase20 · 1 open
Phase 314 · 1 open
Phase 110 · 3 open
Phase 210 · 3 open
Phase 1/26 · 2 open
Phase 44 · 0 open
Other kind2 · 2 open
Phase 2/32 · 0 open

By the year they started

First in 1984; this study’s year is marked. 6 started in 2025.

Size and results

Median enrollment 38 across the 66 interventional studies, 70 across the 30 observational. Of the 63 that completed or were terminated, 31 (49%) have results posted.

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Watch this landscapeDownload CSVWith an account: a weekly mail of what changed among 99 studies in Muscular Diseases with a site in United States, or all of them as a file.
02

Study summary

This study is being done to further develop a device, the mScan, to measure muscle health as compared to measurements of muscle health using MRI (magnetic resonance imaging). This device is held against the skin and uses Electrical Impedance Myography (EIM). EIM uses a very small, noninvasive (e.g. no needles), brief (about 6 seconds), and painless electrical current to measure the muscle. The investigators will look at how the mScan predicts the muscle measurements seen on MRI in people with and without muscle disease. The investigators hope that this can be used in the future as a quick, convenient and less time-consuming way than MRI to assess muscle health. This could be used to measure how well treatments for different muscle disorders are working over a period of time.

Read the detailed description

Magnetic resonance imaging (MRI) is an important clinical tool for tracking skeletal muscle disease and response to therapy in a variety of conditions ranging from muscular dystrophy to myositis. MRI can serve as a surrogate measure of skeletal muscle pathology; it can quantify atrophy, edema, fatty infiltration, and myofiber disorganization, obviating the need for biopsy. There is little question that tracking MRI changes will speed therapeutic clinical trials in many muscle diseases; its use has been strongly encouraged. Although MRI can provide excellent assessment of muscle condition, MRI has many drawbacks including high cost, general inconvenience, need for the subject to lie flat without moving, limited evaluation of upper extremity muscles, need for detailed image analysis to distill complex imaging data down to a simple value for disease tracking, difficulty obtaining repeated measurements in a clinical trial, and challenges in standardization of protocols across institutions. These limitations prevent MRI from being an easily applied biomarker for assessment of muscle health and disease status. A technology that offers compositional information similar to MRI but that overcomes MRI's many drawbacks could serve as an extraordinary powerful biomarker in regular patient care and clinical therapeutic trials.

Electrical impedance myography (EIM) is such a technology. In fact, EIM is currently being used as biomarker in a number of neuromuscular disorders. In EIM, using a small handheld device, a weak, directionally focused, multi-frequency electrical current is applied to a muscle, resulting surface voltages are measured, and impedance values are derived. Alterations in these values provide insight into the condition of muscle, including atrophy, edema, fatty infiltration, and myofiber disorganization. In addition to ALS, EIM has already shown considerable value as a biomarker in a number of disorders including muscular dystrophy, myositis, and simple deconditioning. In sum, the investigators hypothesize that EIM has the potential to serve as a proxy for MRI, providing much of the same information but with far greater speed and convenience, lower cost, smaller size, greater flexibility and tolerability and without the need for cumbersome image analysis.

While much data has been acquired showing EIM is sensitive to muscle health, there is only sparse data relating EIM directly to MRI. Given the complexity of both EIM and MRI, applying machine learning approaches to these data sets can serve as a means for establishing a relationship between these two technologies. This would allow EIM to serve as an extremely convenient tool for tracking muscle health and potentially as a biomarker in future clinical therapeutic trials and day-to-day patient care.

Research Question: Can EIM supplement and potentially substitute for MRI in the assessment of primary diseases of skeletal muscle (myopathies)?

03

Conditions studied

  • Myopathy
  • Muscular Dystrophies
  • Myositis
  • Myofibrillar Myopathy
  • Congenital Myopathy
  • Distal Myopathy
  • Myopathies

Keywords

  • Muscle Health
  • Myopathy
  • Device
  • Healthy control
  • MRI
  • Electrical Impedance Myography
  • EIM
04

Who can participate

Ages eligible
18 Years to 89 Years
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

Patients Diagnosed with Myopathies and Healthy Controls

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • 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

Exclusion criteria

Exclusion Criteria:

  • 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
  • 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 > 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
Terms in these criteria, in plain language(3)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Biopsy and archival tissue

A biopsy takes a small piece of tissue to examine. “Archival tissue” is a sample already taken, for example at diagnosis, and kept by the hospital.

Whether a stored sample will do depends on when it was taken, how much there is and what the study needs. Ask whether the study accepts your stored sample or needs a new biopsy.

Contraindication

A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.

BMI (body mass index)

Weight in kilograms divided by height in metres squared. Example: 70 kg and 1.75 m gives 70 ÷ (1.75 × 1.75) ≈ 22.9.

What counts as overweight or obesity differs between countries (some use lower cut-offs), so go by the range the study states.

05

Study design

Observational model
Case-control
Time perspective
Prospective
Enrollment
150 participants (estimated)
Target follow-up
1 Day
Patient registry
Yes

Groups and cohorts

  • Healthy Control

    Device: Electrical Impedance Myography

  • Myopathy

    Participants with Myopathies

    Device: Electrical Impedance Myography

Interventions

  • DeviceElectrical Impedance Myography

    EIM is an impedance-based technology in which an imperceptible, high-, multi-frequency (e.g., 1 kHz to 10 MHz) electrical current is applied across two electrodes; the resulting voltage signals are measured across two sense electrodes

06

What researchers measure

Primary outcomes

  1. 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.

    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

    Time frame: Two years

07

Study locations

1 of 1 sites recruiting
08

References and documents

Publications

  • Marty B, Baudin PY, Reyngoudt H, Azzabou N, Araujo EC, Carlier PG, de Sousa PL. Simultaneous muscle water T2 and fat fraction mapping using transverse relaxometry with stimulated echo compensation. NMR Biomed. 2016 Apr;29(4):431-43. doi: 10.1002/nbm.3459. Epub 2016 Jan 27. PubMed 26814454 ↗
  • Rutkove SB, Geisbush TR, Mijailovic A, Shklyar I, Pasternak A, Visyak N, Wu JS, Zaidman C, Darras BT. Cross-sectional evaluation of electrical impedance myography and quantitative ultrasound for the assessment of Duchenne muscular dystrophy in a clinical trial setting. Pediatr Neurol. 2014 Jul;51(1):88-92. doi: 10.1016/j.pediatrneurol.2014.02.015. Epub 2014 Feb 28. PubMed 24814059 ↗
  • McDonald CM, Henricson EK, Abresch RT, Florence J, Eagle M, Gappmaier E, Glanzman AM; PTC124-GD-007-DMD Study Group; Spiegel R, Barth J, Elfring G, Reha A, Peltz SW. The 6-minute walk test and other clinical endpoints in duchenne muscular dystrophy: reliability, concurrent validity, and minimal clinically important differences from a multicenter study. Muscle Nerve. 2013 Sep;48(3):357-68. doi: 10.1002/mus.23905. Epub 2013 Jul 17. PubMed 23674289 ↗
  • Narayanaswami P, Weiss M, Selcen D, David W, Raynor E, Carter G, Wicklund M, Barohn RJ, Ensrud E, Griggs RC, Gronseth G, Amato AA; Guideline Development Subcommittee of the American Academy of Neurology; Practice Issues Review Panel of the American Association of Neuromuscular & Electrodiagnostic Medicine. Evidence-based guideline summary: diagnosis and treatment of limb-girdle and distal dystrophies [RETIRED]: report of the guideline development subcommittee of the American Academy of Neurology and the practice issues review panel of the American Association of Neuromuscular & Electrodiagnostic Medicine. Neurology. 2014 Oct 14;83(16):1453-63. doi: 10.1212/WNL.0000000000000892. PubMed 25313375 ↗
  • Goemans N, Wong B, Van den Hauwe M, Signorovitch J, Sajeev G, Cox D, Landry J, Jenkins M, Dieye I, Yao Z, Hossain I, Ward SJ; Collaborative Trajectory Analysis Project (cTAP). Prognostic factors for changes in the timed 4-stair climb in patients with Duchenne muscular dystrophy, and implications for measuring drug efficacy: A multi-institutional collaboration. PLoS One. 2020 Jun 18;15(6):e0232870. doi: 10.1371/journal.pone.0232870. eCollection 2020. PubMed 32555695 ↗
  • Govindarajan R, Narayanaswami P. Evidence-based medicine for every day, everyone, and every therapeutic study. Muscle Nerve. 2018 Oct;58(4):486-496. doi: 10.1002/mus.26142. Epub 2018 May 18. PubMed 29665019 ↗
  • Pandeya SR, Nagy JA, Riveros D, Semple C, Taylor RS, Mortreux M, Sanchez B, Kapur K, Rutkove SB. Estimating myofiber cross-sectional area and connective tissue deposition with electrical impedance myography: A study in D2-mdx mice. Muscle Nerve. 2021 Jun;63(6):941-950. doi: 10.1002/mus.27240. Epub 2021 Apr 7. PubMed 33759456 ↗
  • Kapur K, Nagy JA, Taylor RS, Sanchez B, Rutkove SB. Estimating Myofiber Size With Electrical Impedance Myography: a Study In Amyotrophic Lateral Sclerosis MICE. Muscle Nerve. 2018 Nov;58(5):713-717. doi: 10.1002/mus.26187. Epub 2018 Sep 2. PubMed 30175407 ↗
  • Rutkove SB, Wu JS, Zaidman C, Kapur K, Yim S, Pasternak A, Madabusi L, Szelag H, Harrington T, Li J, Pacheck A, Darras BT. Loss of electrical anisotropy is an unrecognized feature of dystrophic muscle that may serve as a convenient index of disease status. Clin Neurophysiol. 2016 Dec;127(12):3546-3551. doi: 10.1016/j.clinph.2016.09.017. Epub 2016 Oct 13. PubMed 27825055 ↗
  • Garmirian LP, Chin AB, Rutkove SB. Discriminating neurogenic from myopathic disease via measurement of muscle anisotropy. Muscle Nerve. 2009 Jan;39(1):16-24. doi: 10.1002/mus.21115. PubMed 19058193 ↗
  • Esper GJ, Shiffman CA, Aaron R, Lee KS, Rutkove SB. Assessing neuromuscular disease with multifrequency electrical impedance myography. Muscle Nerve. 2006 Nov;34(5):595-602. doi: 10.1002/mus.20626. PubMed 16881067 ↗
  • Pons C, Borotikar B, Garetier M, Burdin V, Ben Salem D, Lempereur M, Brochard S. Quantifying skeletal muscle volume and shape in humans using MRI: A systematic review of validity and reliability. PLoS One. 2018 Nov 29;13(11):e0207847. doi: 10.1371/journal.pone.0207847. eCollection 2018. PubMed 30496308 ↗
  • Kornegay JN, Childers MK, Bogan DJ, Bogan JR, Nghiem P, Wang J, Fan Z, Howard JF Jr, Schatzberg SJ, Dow JL, Grange RW, Styner MA, Hoffman EP, Wagner KR. The paradox of muscle hypertrophy in muscular dystrophy. Phys Med Rehabil Clin N Am. 2012 Feb;23(1):149-72, xii. doi: 10.1016/j.pmr.2011.11.014. PubMed 22239881 ↗
  • Stevens AM, Sullivan KM, Nelson JL. Polymyositis as a manifestation of chronic graft-versus-host disease. Rheumatology (Oxford). 2003 Jan;42(1):34-9. doi: 10.1093/rheumatology/keg025. PubMed 12509610 ↗
  • Hamel J, Lee P, Glenn MD, Burka T, Choi IY, Friedman SD, Shaw DWW, McCalley A, Herbelin L, Dimachkie MM, Lemmers R, van der Maarel SM, Barohn RJ, Tawil R, Statland JM. Magnetic resonance imaging correlates with electrical impedance myography in facioscapulohumeral muscular dystrophy. Muscle Nerve. 2020 May;61(5):644-649. doi: 10.1002/mus.26792. Epub 2020 Jan 22. PubMed 31884698 ↗
  • Wu JS, Li J, Greenman RL, Bennett D, Geisbush T, Rutkove SB. Assessment of aged mdx mice by electrical impedance myography and magnetic resonance imaging. Muscle Nerve. 2015 Oct;52(4):598-604. doi: 10.1002/mus.24573. Epub 2015 Jun 3. PubMed 25597760 ↗
  • Li J, Jafarpoor M, Bouxsein M, Rutkove SB. Distinguishing neuromuscular disorders based on the passive electrical material properties of muscle. Muscle Nerve. 2015 Jan;51(1):49-55. doi: 10.1002/mus.24270. Epub 2014 Nov 19. PubMed 24752678 ↗
  • Rutkove SB, Sanchez B. Electrical Impedance Methods in Neuromuscular Assessment: An Overview. Cold Spring Harb Perspect Med. 2019 Oct 1;9(10):a034405. doi: 10.1101/cshperspect.a034405. PubMed 30291145 ↗
  • Sanchez B, Rutkove SB. Electrical Impedance Myography and Its Applications in Neuromuscular Disorders. Neurotherapeutics. 2017 Jan;14(1):107-118. doi: 10.1007/s13311-016-0491-x. PubMed 27812921 ↗
  • Shefner JM, Rutkove SB, Caress JB, Benatar M, David WS, Cartwright MS, Macklin EA, Bohorquez JL. Reducing sample size requirements for future ALS clinical trials with a dedicated electrical impedance myography system. Amyotroph Lateral Scler Frontotemporal Degener. 2018 Nov;19(7-8):555-561. doi: 10.1080/21678421.2018.1510008. Epub 2018 Sep 28. PubMed 30265154 ↗
  • Nichols C, Jain MS, Meilleur KG, Wu T, Collins J, Waite MR, Dastgir J, Salman A, Donkervoort S, Duong T, Keller K, Leach ME, Lott DJ, McGuire MN, Nelson L, Rutkowski A, Vuillerot C, Bonnemann CG, Lehky TJ. Electrical impedance myography in individuals with collagen 6 and laminin alpha-2 congenital muscular dystrophy: a cross-sectional and 2-year analysis. Muscle Nerve. 2018 Jan;57(1):54-60. doi: 10.1002/mus.25629. Epub 2017 Apr 25. PubMed 28224647 ↗
  • Schwartz DP, Dastgir J, Salman A, Lear B, Bonnemann CG, Lehky TJ. Electrical impedance myography discriminates congenital muscular dystrophy from controls. Muscle Nerve. 2016 Mar;53(3):402-6. doi: 10.1002/mus.24770. Epub 2015 Aug 13. PubMed 26179210 ↗
  • Rutkove SB, Kapur K, Zaidman CM, Wu JS, Pasternak A, Madabusi L, Yim S, Pacheck A, Szelag H, Harrington T, Darras BT. Electrical impedance myography for assessment of Duchenne muscular dystrophy. Ann Neurol. 2017 May;81(5):622-632. doi: 10.1002/ana.24874. Epub 2017 May 4. PubMed 28076894 ↗
  • Leitner ML, Kapur K, Darras BT, Yang M, Wong B, Dalle Pazze L, Florence J, Buck M, Freedman L, Bohorquez J, Rutkove S, Zaidman C. Electrical impedance myography for reducing sample size in Duchenne muscular dystrophy trials. Ann Clin Transl Neurol. 2020 Jan;7(1):4-14. doi: 10.1002/acn3.50958. Epub 2019 Dec 25. PubMed 31876124 ↗
  • Roy B, Rutkove SB, Nowak RJ. Electrical impedance myography as a biomarker of inclusion body myositis: A cross-sectional study. Clin Neurophysiol. 2020 Feb;131(2):368-371. doi: 10.1016/j.clinph.2019.10.030. Epub 2019 Dec 6. PubMed 31865137 ↗
  • Noseworthy MD, Davis AD, Elzibak AH. Advanced MR imaging techniques for skeletal muscle evaluation. Semin Musculoskelet Radiol. 2010 Jun;14(2):257-68. doi: 10.1055/s-0030-1253166. Epub 2010 May 18. PubMed 20486033 ↗
  • Willis TA, Hollingsworth KG, Coombs A, Sveen ML, Andersen S, Stojkovic T, Eagle M, Mayhew A, de Sousa PL, Dewar L, Morrow JM, Sinclair CD, Thornton JS, Bushby K, Lochmuller H, Hanna MG, Hogrel JY, Carlier PG, Vissing J, Straub V. Quantitative magnetic resonance imaging in limb-girdle muscular dystrophy 2I: a multinational cross-sectional study. PLoS One. 2014 Feb 28;9(2):e90377. doi: 10.1371/journal.pone.0090377. eCollection 2014. PubMed 24587344 ↗
  • Li GD, Liang YY, Xu P, Ling J, Chen YM. Diffusion-Tensor Imaging of Thigh Muscles in Duchenne Muscular Dystrophy: Correlation of Apparent Diffusion Coefficient and Fractional Anisotropy Values With Fatty Infiltration. AJR Am J Roentgenol. 2016 Apr;206(4):867-70. doi: 10.2214/AJR.15.15028. Epub 2016 Feb 11. PubMed 26866848 ↗
  • Leung DG. Advancements in magnetic resonance imaging-based biomarkers for muscular dystrophy. Muscle Nerve. 2019 Oct;60(4):347-360. doi: 10.1002/mus.26497. Epub 2019 May 14. PubMed 31026060 ↗

Individual participant data

Plan to share: Yes — Deidentified data which is not considered proprietary per SBIR allowances will be shared publicly through existing websites (such as the Dryad database). Investigators will include relevant clinical and demographic information (all deidentified). The Digital Object Identifier (DOI) will be referenced in any publication to allow the research community easy access to the exact data used in the publication. The results of the study will also be shared via publication and at national and international scientific meetings in the neurology and engineering fields as well as in conferences focused on primary neuromuscular diseases.

Supporting information: Study protocol, Statistical analysis plan, Informed consent form

Time frame: Upon completion and primary analysis of the study

Access criteria: Public

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Started Apr 2025 (actual). Primary completion is estimated for Jun 2027, 25 months after the start.

Of 36 observational studies under Muscular Diseases, half reached primary completion within 75 months of starting (the median), counting those still running; a quarter within 20 and three quarters within 159. This study's planned 25 months is below that.

How these figures are worked out, and which studies are left out of them.

Registered
Mar 25, 2026
First posted
Mar 31, 2026
StartActual
Apr 9, 2025
Primary completionEst.
Jun 1, 2027
CompletionEst.
Sep 2027
Last update
Apr 3, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Apr 3, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07502989
Responsible party
Pushpa Narayanaswami (Vice-Chair of Clinical Operations; Professor of Neurology, Beth Israel Deaconess Medical Center) — Principal investigator
First posted
Mar 31, 2026
Start date
Apr 9, 2025
Primary completion
Jun 1, 2027 (estimated)
Completion
Sep 2027 (estimated)
Last update
Apr 3, 2026

Study contacts

Pushpa Narayanaswami, M.D.
principal investigator · Beth Israel Deaconess Medical Center

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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