- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07502989
Muscle Health Measurements Using Electrical Impedance Myography
Convenient Quantification of Myopathic Change in Muscle Via Electrical Impedance Myography
Study Overview
Status
Conditions
Intervention / Treatment
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)?
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Locations
-
-
Massachusetts
-
Boston, Massachusetts, United States, 02215
- Recruiting
- Beth Israel Deaconess Medical Center
-
Contact:
- Amy Lewandowski
- Phone Number: 617-667-2545
- Email: alewand2@bidmc.harvard.edu
-
Principal Investigator:
- Pushpa Narayanaswami, M.D.
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
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 biopsy
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
- 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
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Healthy Control
|
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
|
|
Myopathy
Participants with Myopathies
|
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
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
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.
Time Frame: 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 |
Two years
|
Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Pushpa Narayanaswami, M.D., Beth Israel Deaconess Medical Center
Publications and helpful links
General Publications
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Helpful Links
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Musculoskeletal Diseases
- Nervous System Diseases
- Neuromuscular Diseases
- Genetic Diseases, Inborn
- Neurodegenerative Diseases
- Heredodegenerative Disorders, Nervous System
- Muscular Disorders, Atrophic
- Myotonic Disorders
- Congenital, Hereditary, and Neonatal Diseases and Abnormalities
- Muscular Dystrophies
- Muscular Diseases
- Myositis
- Distal Myopathies
- Myotonia Congenita
- Myofibrillar Myopathy
Other Study ID Numbers
- 24P000762
- 1R44AR083316-01A1 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ICF
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
Clinical Trials on Muscular Dystrophies
-
Assistance Publique - Hôpitaux de ParisRecruitingLimb Girdle Muscular DystrophiesFrance
-
aTyr Pharma, Inc.CompletedLimb-Girdle Muscular Dystrophies | Facioscapulohumeral Muscular DystrophyUnited States, Denmark, France
-
Wake Forest University Health SciencesMuscular Dystrophy AssociationCompletedMuscular Dystrophies, Limb-Girdle (GENETICALLY CONFIRMED)United States
-
ML Bio Solutions, Inc.Virginia Commonwealth UniversityCompletedMuscular Dystrophies | Limb Girdle Muscular DystrophyUnited States, Denmark
-
Neurogen Brain and Spine InstituteWithdrawn
-
Rigshospitalet, DenmarkRecruitingLimb Girdle Muscular DystrophyDenmark
-
Assiut UniversityNot yet recruitingLimb-girdle Muscular Dystrophy
-
Rigshospitalet, DenmarkCompleted
-
Nationwide Children's HospitalNational Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) and other collaboratorsCompletedLimb-Girdle Muscular DystrophyUnited States
-
Rigshospitalet, DenmarkFunding: Toyota Foundation; Funding: Grosserer L. F. Foghts Foundation; Funding... and other collaboratorsActive, not recruiting
Clinical Trials on Electrical Impedance Myography
-
Yale UniversityCompletedInclusion Body Myositis | IBMUnited States
-
Beth Israel Deaconess Medical CenterUnited States Department of DefenseRecruitingAmyotrophic Lateral SclerosisUnited States
-
Duke UniversityGenzyme, a Sanofi CompanyCompleted
-
McGill University Health Centre/Research Institute...UnknownLower Limb Injury | Injury TraumaCanada
-
Skulpt, Inc.CompletedMultiple Sclerosis | Charcot-Marie-Tooth Disease | Motor Neuron Disease | Amyotrophic Lateral SclerosisUnited States
-
Skulpt, Inc.National Institute of Neurological Disorders and Stroke (NINDS); National Institutes...CompletedAmyotrophic Lateral Sclerosis (ALS)United States
-
University of Kansas Medical CenterNational Institute of Neurological Disorders and Stroke (NINDS); University... and other collaboratorsActive, not recruitingFacioscapulohumeral Muscular DystrophyUnited States, France, Germany, Italy, Netherlands, United Kingdom
-
Yale UniversityCompletedIdiopathic Inflammatory MyopathiesUnited States
-
Beth Israel Deaconess Medical CenterMassachusetts General HospitalActive, not recruitingMyofascial Pain | Trigger Point Pain, MyofascialUnited States
-
Montefiore Medical CenterCompleted