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Guven AE, Chiapparelli E, Camino-Willhuber G, Zhu J, Schönnagel L, Amoroso K, Caffard T, Erduran A, Shue J, Sama AA, Girardi FP, Cammisa FP, Hughes AP. Assessing paraspinal muscle atrophy with electrical impedance myography: Limitations and insights. J Orthop Res 2024; 42:2072-2079. [PMID: 38594874 DOI: 10.1002/jor.25848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 03/21/2024] [Accepted: 03/27/2024] [Indexed: 04/11/2024]
Abstract
Paraspinal muscle atrophy is gaining attention in spine surgery due to its link to back pain, spinal degeneration and worse postoperative outcomes. Electrical impedance myography (EIM) is a noninvasive diagnostic tool for muscle quality assessment, primarily utilized for patients with neuromuscular diseases. However, EIM's accuracy for paraspinal muscle assessment remains understudied. In this study, we investigated the correlation between EIM readings and MRI-derived muscle parameters, as well as the influence of dermal and subcutaneous parameters on these readings. We retrospectively analyzed patients with lumbar spinal degeneration who underwent paraspinal EIM assessment between May 2023 to July 2023. Paraspinal muscle fatty infiltration (FI) and functional cross-sectional area (fCSA), as well as the subcutaneous thickness were assessed on MRI scans. Skin ultrasound imaging was assessed for dermal thickness and the echogenicities of the dermal and subcutaneous layers. All measurements were performed on the bilaterally. The correlation between EIM readings were compared with ultrasound and MRI parameters using Spearman's correlation analyses. A total of 20 patients (65.0% female) with a median age of 69.5 years (IQR, 61.3-73.8) were analyzed. The fCSA and FI did not significantly correlate with the EIM readings, regardless of frequency. All EIM readings across frequencies correlated with subcutaneous thickness, echogenicity, or dermal thickness. With the current methodology, paraspinal EIM is not a valid alternative to MRI assessment of muscle quality, as it is strongly influenced by the dermal and subcutaneous layers. Further studies are required for refining the methodology and confirming our results.
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Affiliation(s)
- Ali E Guven
- Department of Orthopaedic Surgery, Hospital for Special Surgery, Weill Cornell Medicine, New York, USA
| | - Erika Chiapparelli
- Department of Orthopaedic Surgery, Hospital for Special Surgery, Weill Cornell Medicine, New York, USA
| | - Gaston Camino-Willhuber
- Department of Orthopaedic Surgery, Hospital for Special Surgery, Weill Cornell Medicine, New York, USA
| | - Jiaqi Zhu
- Biostatistics Core, Hospital for Special Surgery, New York, USA
| | - Lukas Schönnagel
- Department of Orthopaedic Surgery, Hospital for Special Surgery, Weill Cornell Medicine, New York, USA
- Center for Musculoskeletal Surgery, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Krizia Amoroso
- Department of Orthopaedic Surgery, Hospital for Special Surgery, Weill Cornell Medicine, New York, USA
| | - Thomas Caffard
- Department of Orthopaedic Surgery, Hospital for Special Surgery, Weill Cornell Medicine, New York, USA
- Universitätsklinikum Ulm, Klinik für Orthopädie, Ulm, Germany
| | - Ada Erduran
- Department of Electrical Engineering, Technical University Berlin, Berlin, Germany
| | - Jennifer Shue
- Department of Orthopaedic Surgery, Hospital for Special Surgery, Weill Cornell Medicine, New York, USA
| | - Andrew A Sama
- Department of Orthopaedic Surgery, Hospital for Special Surgery, Weill Cornell Medicine, New York, USA
| | - Federico P Girardi
- Department of Orthopaedic Surgery, Hospital for Special Surgery, Weill Cornell Medicine, New York, USA
| | - Frank P Cammisa
- Department of Orthopaedic Surgery, Hospital for Special Surgery, Weill Cornell Medicine, New York, USA
| | - Alexander P Hughes
- Department of Orthopaedic Surgery, Hospital for Special Surgery, Weill Cornell Medicine, New York, USA
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2
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Rutkove SB. Advancing electrical impedance myography one small step at a time. Muscle Nerve 2024; 69:257-259. [PMID: 38126551 DOI: 10.1002/mus.28030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 11/08/2023] [Accepted: 12/10/2023] [Indexed: 12/23/2023]
Abstract
See article on pages 288–294 in this issue.
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Affiliation(s)
- Seward B Rutkove
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
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3
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Zubair AS, Salam S, Dimachkie MM, Machado PM, Roy B. Imaging biomarkers in the idiopathic inflammatory myopathies. Front Neurol 2023; 14:1146015. [PMID: 37181575 PMCID: PMC10166883 DOI: 10.3389/fneur.2023.1146015] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 04/03/2023] [Indexed: 05/16/2023] Open
Abstract
Idiopathic inflammatory myopathies (IIMs) are a group of acquired muscle diseases with muscle inflammation, weakness, and other extra-muscular manifestations. IIMs can significantly impact the quality of life, and management of IIMs often requires a multi-disciplinary approach. Imaging biomarkers have become an integral part of the management of IIMs. Magnetic resonance imaging (MRI), muscle ultrasound, electrical impedance myography (EIM), and positron emission tomography (PET) are the most widely used imaging technologies in IIMs. They can help make the diagnosis and assess the burden of muscle damage and treatment response. MRI is the most widely used imaging biomarker of IIMs and can assess a large volume of muscle tissue but is limited by availability and cost. Muscle ultrasound and EIM are easy to administer and can even be performed in the clinical setting, but they need further validation. These technologies may complement muscle strength testing and laboratory studies and provide an objective assessment of muscle health in IIMs. Furthermore, this is a rapidly progressing field, and new advances are going to equip care providers with a better objective assessment of IIMS and eventually improve patient management. This review discusses the current state and future direction of imaging biomarkers in IIMs.
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Affiliation(s)
- Adeel S. Zubair
- Division of Neuromuscular Diseases, Department of Neurology, Yale University School of Medicine, New Haven, CT, United States
| | - Sharfaraz Salam
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Mazen M. Dimachkie
- Department of Neurology, The University of Kansas Medical Center, Kansas City, KS, United States
| | - Pedro M. Machado
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
- Centre for Rheumatology, Division of Medicine, University College London, London, United Kingdom
| | - Bhaskar Roy
- Division of Neuromuscular Diseases, Department of Neurology, Yale University School of Medicine, New Haven, CT, United States
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4
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Gong Z, Lo WLA, Wang R, Li L. Electrical impedance myography combined with quantitative assessment techniques in paretic muscle of stroke survivors: Insights and challenges. Front Aging Neurosci 2023; 15:1130230. [PMID: 37020859 PMCID: PMC10069712 DOI: 10.3389/fnagi.2023.1130230] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 02/27/2023] [Indexed: 03/18/2023] Open
Abstract
Aging is a non-modifiable risk factor for stroke and the global burden of stroke is continuing to increase due to the aging society. Muscle dysfunction, common sequela of stroke, has long been of research interests. Therefore, how to accurately assess muscle function is particularly important. Electrical impedance myography (EIM) has proven to be feasible to assess muscle impairment in patients with stroke in terms of micro structures, such as muscle membrane integrity, extracellular and intracellular fluids. However, EIM alone is not sufficient to assess muscle function comprehensively given the complex contributors to paretic muscle after an insult. This article discusses the potential to combine EIM and other common quantitative methods as ways to improve the assessment of muscle function in stroke survivors. Clinically, these combined assessments provide not only a distinct advantage for greater accuracy of muscle assessment through cross-validation, but also the physiological explanation on muscle dysfunction at the micro level. Different combinations of assessments are discussed with insights for different purposes. The assessments of morphological, mechanical and contractile properties combined with EIM are focused since changes in muscle structures, tone and strength directly reflect the muscle function of stroke survivors. With advances in computational technology, finite element model and machine learning model that incorporate multi-modal evaluation parameters to enable the establishment of predictive or diagnostic model will be the next step forward to assess muscle function for individual with stroke.
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Affiliation(s)
- Ze Gong
- Research & Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen, China
- Institute of Medical Research, Northwestern Polytechnical University, Xi’an, China
| | - Wai Leung Ambrose Lo
- Department of Rehabilitation Medicine, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Ruoli Wang
- KTH MoveAbility Lab, Department of Engineering Mechanics, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Le Li
- Research & Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen, China
- Institute of Medical Research, Northwestern Polytechnical University, Xi’an, China
- *Correspondence: Le Li,
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5
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Kwon H, Park HC, Barrera AC, Rutkove SB, Sanchez B. On the measurement of skeletal muscle anisotropic permittivity property with a single cross-shaped needle insertion. Sci Rep 2022; 12:8494. [PMID: 35589764 PMCID: PMC9120124 DOI: 10.1038/s41598-022-12289-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 05/09/2022] [Indexed: 11/10/2022] Open
Abstract
Application of minimally invasive methods to enable the measurement of tissue permittivity in the neuromuscular clinic remain elusive. This paper provides a theoretical and modeling study on the measurement of the permittivity of two-dimensional anisotropic tissues such as skeletal muscle with a multi-electrode cross-shaped needle. For this, we design a novel cross-shaped needle with multiple-electrodes and analyse apparent impedance corresponding to the measured impedance. In addition, we propose three methods of estimate anisotropic muscle permittivity. Compared to existing electrical impedance-based needle methods that we have developed, the new needle design and numerical methods associated enable estimating in vivo muscle permittivity values with only a single needle insertion. Being able to measure muscle permittivity directly with a single needle insertion could open up an entirely new area of research with direct clinical application, including using these values to assist in neuromuscular diagnosis and to assess subtle effects of therapeutic intervention on muscle health.
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Affiliation(s)
- Hyeuknam Kwon
- Division of Software, Yonsei University, Wonju, Republic of Korea.
| | - Hyoung Churl Park
- Department of Mathematics, Yonsei University, Wonju, Republic of Korea
| | - Albert Cheto Barrera
- Department of Electrical and Computer Engineering, University of Utah, Salt Lake City, UT, 84112, USA
| | - Seward B Rutkove
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02215, USA
| | - Benjamin Sanchez
- Department of Electrical and Computer Engineering, University of Utah, Salt Lake City, UT, 84112, USA.
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6
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Luo X, Wang S, Sanchez B. Modeling and simulation of needle electrical impedance myography in nonhomogeneous isotropic skeletal muscle. IEEE JOURNAL OF ELECTROMAGNETICS, RF AND MICROWAVES IN MEDICINE AND BIOLOGY 2022; 6:103-110. [PMID: 35434441 PMCID: PMC9012450 DOI: 10.1109/jerm.2021.3091515] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Objective Needle electrical impedance myography (EIM) is a recently developed technique for neuromuscular evaluation. Despite its preliminary successful clinical application, further understanding is needed to aid interpreting EIM outcomes in nonhomogeneous skeletal muscle measurements. Methods The framework presented models needle EIM measurements in a bidomain isotropic model. Finite element method (FEM) simulations verify the validity of our model predictions studying two cases: a spherical volume surrounded by tissue and a two-layered tissue. Results Our models show that EIM is influenced by the vicinity of tissue with different electrical properties. The apparent resistance, reactance and phase relative errors between our theoretical predictions and FEM simulations in the spherical volume case study are ≤0.2%, ≤1.2% and ≤1.0%, respectively. For the two-layered tissue model case study, the relative errors are ≤2%. Conclusions We propose a bio-physics driven analytical framework describing needle EIM measurements in a nonhomogeneous bidomain tissue model. Clinical impact Our theoretical predictions may lead to new ways for interpreting needle EIM data in neuromuscular diseases that cause compositional changes in muscle content, e.g. connective tissue deposition within the muscle. These changes will manifest themselves by changing the electric properties of the conductor media and will impact impedance values.
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Affiliation(s)
- Xuesong Luo
- Department of Automation Science and Electric Engineering, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100083, China,Sanchez Research Lab, Department of Electrical and Computer Engineering, Sorenson Molecular Biotechnology Building, 36 South Wasatch Drive, University of Utah, Salt Lake City, UT 84112, USA
| | - Shaoping Wang
- Department of Automation Science and Electric Engineering, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100083, China
| | - Benjamin Sanchez
- Sanchez Research Lab, Department of Electrical and Computer Engineering, Sorenson Molecular Biotechnology Building, 36 South Wasatch Drive, University of Utah, Salt Lake City, UT 84112, USA
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Ghasemi M, Emerson CP, Hayward LJ. Outcome Measures in Facioscapulohumeral Muscular Dystrophy Clinical Trials. Cells 2022; 11:687. [PMID: 35203336 PMCID: PMC8870318 DOI: 10.3390/cells11040687] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 02/11/2022] [Accepted: 02/15/2022] [Indexed: 02/04/2023] Open
Abstract
Facioscapulohumeral muscular dystrophy (FSHD) is a debilitating muscular dystrophy with a variable age of onset, severity, and progression. While there is still no cure for this disease, progress towards FSHD therapies has accelerated since the underlying mechanism of epigenetic derepression of the double homeobox 4 (DUX4) gene leading to skeletal muscle toxicity was identified. This has facilitated the rapid development of novel therapies to target DUX4 expression and downstream dysregulation that cause muscle degeneration. These discoveries and pre-clinical translational studies have opened new avenues for therapies that await evaluation in clinical trials. As the field anticipates more FSHD trials, the need has grown for more reliable and quantifiable outcome measures of muscle function, both for early phase and phase II and III trials. Advanced tools that facilitate longitudinal clinical assessment will greatly improve the potential of trials to identify therapeutics that successfully ameliorate disease progression or permit muscle functional recovery. Here, we discuss current and emerging FSHD outcome measures and the challenges that investigators may experience in applying such measures to FSHD clinical trial design and implementation.
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Affiliation(s)
- Mehdi Ghasemi
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA; (C.P.E.J.); (L.J.H.)
- Wellstone Muscular Dystrophy Program, Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA
| | - Charles P. Emerson
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA; (C.P.E.J.); (L.J.H.)
- Wellstone Muscular Dystrophy Program, Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA
| | - Lawrence J. Hayward
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA; (C.P.E.J.); (L.J.H.)
- Wellstone Muscular Dystrophy Program, Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA
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8
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Hobson-Webb LD, Zwelling PJ, Raja SS, Pifer AN, Kishnani PS. Quantitative muscle ultrasound and electrical impedance myography in late onset Pompe disease: A pilot study of reliability, longitudinal change and correlation with function. Mol Genet Metab Rep 2021; 28:100785. [PMID: 34401343 PMCID: PMC8348861 DOI: 10.1016/j.ymgmr.2021.100785] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 07/26/2021] [Indexed: 01/23/2023] Open
Abstract
Background/objectives Late-onset Pompe disease (LOPD) is slowly progressive, making it difficult to assess clinical change and response to interventions. In this study, quantitative muscle ultrasonography (QMUS) and electrical impedance myography (EIM) were evaluated as potential biomarkers. Methods 25 patients with confirmed LOPD were recruited from the Duke Pompe Clinic and evaluated with standard clinical measures, QMUS, standard EIM (sEIM) and hand-held EIM (hEIM). Patients were evaluated at baseline, 12 months and 24 months. MUS, sEIM and hEIM were compared with the clinical data. Five patients were given hEIM devices to perform measurements at home. Results QMUS and hEIM had good reliability as measures of muscle structure and conduction properties. Home, patient-performed hEIM measurements did not differ significantly from those performed in the clinic setting. Thirteen patients completed all follow-up measures. Most measures did not change over the study period, however, vastus lateralis echointensity increased 27%, a sign of declining muscle health. Additionally, significant correlations between QMUS, hEIM and measures of muscle strength and function were present. Conclusions QMUS and hEIM may provide useful outcome measures for future studies in LOPD with hEIM providing an opportunity to collect data at home. Larger, multicenter studies are needed to explore these possibilities.
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Affiliation(s)
- Lisa D Hobson-Webb
- Department of Neurology/Neuromuscular Division, Duke University, Durham, NC, USA
| | - Paul J Zwelling
- Department of Neurology/Neuromuscular Division, Duke University, Durham, NC, USA
| | - Shruti S Raja
- Department of Neurology/Neuromuscular Division, Duke University, Durham, NC, USA
| | - Ashley N Pifer
- Department of Medicine/Infectious Disease, Duke University, Durham, NC, USA
| | - Priya S Kishnani
- Department of Pediatrics, Division of Medical Genetics, Duke University School of Medicine, Durham, NC, USA
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9
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Cohen J, DeSimone A, Lek M, Lek A. Therapeutic Approaches in Facioscapulohumeral Muscular Dystrophy. Trends Mol Med 2021; 27:123-137. [PMID: 33092966 PMCID: PMC8048701 DOI: 10.1016/j.molmed.2020.09.008] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 09/14/2020] [Accepted: 09/15/2020] [Indexed: 01/13/2023]
Abstract
Facioscapulohumeral muscular dystrophy (FSHD) is one of the most common types of muscular dystrophy, affecting roughly one in 8000 individuals. The complex underlying genetics and poor mechanistic understanding has caused a bottleneck in therapeutic development. Until the discovery of DUX4 and its causal role in FSHD, most trials were untargeted with limited results. Emerging approaches can learn from these early trials to increase their chance of success. Here, we explore the evolution of FSHD clinical trials from nonspecific anabolic or anti-inflammatory/oxidant strategies to cutting-edge molecular therapies targeting DUX4, and we discuss the importance of clinical outcome measures. With combined advances across multiple facets of FSHD research, the field is now poised to accelerate the process of therapeutic discovery and testing.
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Affiliation(s)
- Justin Cohen
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA
| | - Alec DeSimone
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA
| | - Monkol Lek
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA
| | - Angela Lek
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA.
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10
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Sanchez B, Martinsen OG, Freeborn TJ, Furse CM. Electrical impedance myography: A critical review and outlook. Clin Neurophysiol 2020; 132:338-344. [PMID: 33450556 DOI: 10.1016/j.clinph.2020.11.014] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Revised: 10/31/2020] [Accepted: 11/18/2020] [Indexed: 12/30/2022]
Abstract
Electrical impedance myography (EIM) technology is finding application in neuromuscular disease research as a tool to assess muscle health. Correlations between EIM outcomes, functional, imaging and histological data have been established in a variety of neuromuscular disorders; however, an analytical discussion of EIM is lacking. This review presents an explanation for clinicians and others who are applying EIM and interpreting impedance outcomes. The background of EIM is presented, including the relation between EIM, volume conduction properties, tissue structure, electrode configuration and conductor volume. Also discussed are technical considerations to guide the reader to critically evaluate EIM and understand its limitations and strengths.
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Affiliation(s)
- Benjamin Sanchez
- Sanchez Research Lab, Department of Electrical and Computer Engineering, University of Utah, Salt Lake City, UT 84112, USA.
| | - Orjan G Martinsen
- Department of Physics, University of Oslo, 0371 Oslo, Norway; Department of Clinical and Biomedical Engineering, Oslo University Hospital, Oslo 0372, Norway
| | - Todd J Freeborn
- Department of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL 35487, USA
| | - Cynthia M Furse
- Department of Electrical and Computer Engineering, University of Utah, Salt Lake City, UT 84112, USA
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11
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Rutkove SB. Electrical impedance myography: MRI-like data without the need for MRI. Muscle Nerve 2020; 61:554-556. [PMID: 32052459 DOI: 10.1002/mus.26832] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Revised: 02/03/2020] [Accepted: 02/09/2020] [Indexed: 11/11/2022]
Affiliation(s)
- Seward B Rutkove
- Department of Neurology, Beth Israel Deaconess Medical Center, Boston, Massachusetts
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