Evidence map›Paper›PMID 35589764›Full record

ArticleScientific reports2022

On the measurement of skeletal muscle anisotropic permittivity property with a single cross-shaped needle insertion.

Hyeuknam Kwon, Hyoung Churl Park, Albert Cheto Barrera, Seward B Rutkove, Benjamin Sanchez

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

5 authors.

Hyeuknam KwonDivision of Software, Yonsei University, Wonju, Republic of Korea. hyeuknamkwon@yonsei.ac.kr.
Hyoung Churl ParkDepartment of Mathematics, Yonsei University, Wonju, Republic of Korea.
Albert Cheto BarreraDepartment of Electrical and Computer Engineering, University of Utah, Salt Lake City, UT, 84112, USA.
Seward B RutkoveDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02215, USA.
Benjamin SanchezDepartment of Electrical and Computer Engineering, University of Utah, Salt Lake City, UT, 84112, USA. benjamin.sanchez@utah.edu.

Funding

Electrical Impedance Myography in an Animal ModelR01NS055099 · NINDS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI RUTKOVE, SEWARD B. · 2007 to 2022
$5.1M
NINDS NIH HHS R01 NS055099NINDS NIH HHS R41 RNS112029A
6 · The paper itself

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.

Indexed as

Muscle, SkeletalNeedlesAnisotropyElectric ImpedanceElectrodes

Identifiers

PMID35589764
PMCPMC9120124

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.