Evidence map›Paper›PMID 33759456›Full record

ArticleMuscle & nerve2021

Estimating myofiber cross-sectional area and connective tissue deposition with electrical impedance myography: A study in D2-mdx mice.

Sarbesh R Pandeya, Janice A Nagy, Daniela Riveros, Carson Semple, Rebecca S Taylor, Marie Mortreux, Benjamin Sanchez, Kush Kapur, Seward B Rutkove

2 registry-linked trialsAbstract read
In one paragraph

Article in Muscle & nerve, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06491732 recruitingnot on this mapstarted 2025, after this paper: background citation

Electrical Impedance Myography Via the Myolex mScan as an ALS Biomarker

TypeobservationalSponsorBeth Israel Deaconess Medical CenterRan2025 to 2027Enrolled80ConditionsAmyotrophic Lateral SclerosisArmsElectrical Impedance Myography
NCT07502989 recruitingnot on this mapstarted 2025, after this paper: background citation

Convenient Quantification of Myopathic Change in Muscle Via Electrical Impedance Myography

Typeobservational_patient_registrySponsorBeth Israel Deaconess Medical CenterRan2025 to 2027Enrolled150ConditionsMyopathy, Muscular Dystrophies, Myositis, Myofibrillar MyopathyArmsElectrical Impedance Myography
3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Sarbesh R PandeyaDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Janice A NagyDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Daniela RiverosDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Carson SempleDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Rebecca S TaylorDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Marie MortreuxDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0001-8567-8184
Benjamin SanchezDepartment of Electrical and Computer Engineering, University of Utah, Salt Lake City, Utah, USA.ORCID 0000-0002-1594-9847
Kush KapurDepartment of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Seward B RutkoveDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-6375-3312

Funding

Electrical Impedance Myography in an Animal ModelR01NS055099 · NINDS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI RUTKOVE, SEWARD B. · 2007 to 2022
$5.1M
Next generation electrical impedance myography: the virtual muscle biopsyR01NS091159 · NINDS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI RUTKOVE, SEWARD B. · 2015 to 2019
$1.9M
NINDS NIH HHS R01 NS055099NINDS NIH HHS R01 NS091159
6 · The paper itself

Abstract

introductionSurface electrical impedance myography (sEIM) has the potential for providing information on muscle composition and structure noninvasively. We sought to evaluate its use to predict myofiber size and connective tissue deposition in the D2-mdx model of Duchenne muscular dystrophy (DMD).

methodsWe applied a prediction algorithm, the least absolute shrinkage and selection operator, to select specific EIM measurements obtained with surface and ex vivo EIM data from D2-mdx and wild-type (WT) mice (analyzed together or separately). We assessed myofiber cross-sectional area histologically and hydroxyproline (HP), a surrogate measure for connective tissue content, biochemically.

resultsUsing WT and D2-mdx impedance values together in the algorithm, sEIM gave average root-mean-square errors (RMSEs) of 26.6% for CSA and 45.8% for HP, which translate into mean errors of ±363 μm DISCUSSION: Surface EIM combined with a predictive algorithm can provide estimates of muscle pathology comparable to values obtained using ex vivo EIM, and can be used as a surrogate measure of disease severity and progression and response to therapy.

Indexed as

AnimalsConnective TissueElectric ImpedanceElectromyographyMiceMice, Inbred mdxMuscle Fibers, SkeletalMuscle, SkeletalMuscular Dystrophy, Duchenneelectrical impedance myographyLASSO prediction algorithmmuscle hydroxyproline contentmuscular dystrophymyofiber atrophymyofiber size

Identifiers

PMID33759456
PMCPMC8883327

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.