Evidence map›Paper›PMID 38182729›Full record

ArticleCommunications medicine2024

Tethered spinal cord tension assessed via ultrasound elastography in computational and intraoperative human studies.

Max J Kerensky, Abhijit Paul, Denis Routkevitch, Andrew M Hersh, Kelley M Kempski Leadingham, A Daniel Davidar, Brendan F Judy, Joshua Punnoose, Autumn Williams, Avisha Kumar and 9 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Communications medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.3field-weighted citation impact, top 6% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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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

19 authors at 2 institutions in 2 countries.

Max J KerenskyDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID http://orcid.org/0009-0008-0138-8218
Abhijit PaulDiscipline of Biological Engineering, Indian Institute of Technology Gandhinagar, Gujarat, India.
Denis RoutkevitchDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Andrew M HershHEPIUS Innovation Laboratory, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID http://orcid.org/0000-0003-1755-3974
Kelley M Kempski LeadinghamHEPIUS Innovation Laboratory, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
A Daniel DavidarHEPIUS Innovation Laboratory, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Brendan F JudyDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Joshua PunnooseHEPIUS Innovation Laboratory, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Autumn WilliamsDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Avisha KumarHEPIUS Innovation Laboratory, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Kurt LehnerDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Beth SmithHEPIUS Innovation Laboratory, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Jennifer K SonHEPIUS Innovation Laboratory, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Javad R AzadiHEPIUS Innovation Laboratory, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Himanshu ShekharDiscipline of Electrical Engineering, Indian Institute of Technology Gandhinagar, Gujarat, India.
Karla P Mercado-ShekharDiscipline of Biological Engineering, Indian Institute of Technology Gandhinagar, Gujarat, India.
Nitish V ThakorDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Nicholas TheodoreDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Amir ManbachiDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Amir.Manbachi@jhu.edu.ORCID http://orcid.org/0000-0003-0206-5230
Johns Hopkins University · USIndian Institute of Technology Gandhinagar · IN

Funding

Medical Scientist Training ProgramT32GM136577 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI ANDREA L COX · 2020 to 2026
$13.4M
NIGMS NIH HHS T32 GM136577
6 · The paper itself

Abstract

backgroundTension in the spinal cord is a trademark of tethered cord syndrome. Unfortunately, existing tests cannot quantify tension across the bulk of the cord, making the diagnostic evaluation of stretch ambiguous. A potential non-destructive metric for spinal cord tension is ultrasound-derived shear wave velocity (SWV). The velocity is sensitive to tissue elasticity and boundary conditions including strain. We use the term Ultrasound Tensography to describe the acoustic evaluation of tension with SWV.

methodsOur solution Tethered cord Assessment with Ultrasound Tensography (TAUT) was utilized in three sub-studies: finite element simulations, a cadaveric benchtop validation, and a neurosurgical case series. The simulation computed SWV for given tensile forces. The cadaveric model with induced tension validated the SWV-tension relationship. Lastly, SWV was measured intraoperatively in patients diagnosed with tethered cords who underwent treatment (spinal column shortening). The surgery alleviates tension by decreasing the vertebral column length.

resultsHere we observe a strong linear relationship between tension and squared SWV across the preclinical sub-studies. Higher tension induces faster shear waves in the simulation (R

conclusionsThis study presents a physical, clinical metric of spinal cord tension. Strong agreement among computational, cadaveric, and clinical studies demonstrates the utility of ultrasound-induced SWV for quantitative intraoperative feedback. This technology is positioned to enhance tethered cord diagnosis, treatment, and postoperative monitoring as it differentiates stretched from healthy cords.

Identifiers

PMID38182729
PMCPMC10770351
OpenAlexW4390617269

What OpenQuestion holds

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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.