Evidence map›Paper›PMID 37714920›Full record

ArticleScientific reports2023

Assessment of spinal cord injury using ultrasound elastography in a rabbit model in vivo.

Songyuan Tang, Bradley Weiner, Francesca Taraballi, Candice Haase, Eliana Stetco, Shail Maharshi Mehta, Peer Shajudeen, Matthew Hogan, Enrica De Rosa, Philip J Horner and 5 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Neurochemical atlas of the rabbit spinal cord.Brain structure & function · 2024
    Article
  4. Review
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

15 authors at 7 institutions in 2 countries.

Songyuan TangDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA.
Bradley WeinerOrthopedics and Sports Medicine, Houston Methodist Hospital, Houston, TX, USA.
Francesca TaraballiOrthopedics and Sports Medicine, Houston Methodist Hospital, Houston, TX, USA.
Candice HaaseOrthopedics and Sports Medicine, Houston Methodist Hospital, Houston, TX, USA.
Eliana StetcoOrthopedics and Sports Medicine, Houston Methodist Hospital, Houston, TX, USA.
Shail Maharshi MehtaDepartment of Bioengineering, Rice University, Houston, TX, USA.
Peer ShajudeenDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA.
Matthew HoganDepartment of Neurosurgery, Center for Neuroregeneration, Houston Methodist Research Institute, Houston, TX, USA.
Enrica De RosaOrthopedics and Sports Medicine, Houston Methodist Hospital, Houston, TX, USA.
Philip J HornerDepartment of Neurosurgery, Center for Neuroregeneration, Houston Methodist Research Institute, Houston, TX, USA.
K Jane Grande-AllenDepartment of Bioengineering, Rice University, Houston, TX, USA.
Zhaoyue ShiTranslational Imaging Center, Houston Methodist Research Institute, Houston, TX, USA.
Christof KarmonikTranslational Imaging Center, Houston Methodist Research Institute, Houston, TX, USA.
Ennio TasciottiDepartment of Human Sciences and Promotion of Quality of Life, San Raffaele Roma Open University and IRCCS San Raffaele Pisana, 00166, Rome, Italy.
Raffaella RighettiDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA. righetti@ece.tamu.edu.
Houston Methodist · USTexas A&M University · USMethodist Hospital · USMethodist Hospital · USRice University · USImaging Center · USIstituto di Ricovero e Cura a Carattere Scientifico San Raffaele

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effect of the mechanical micro-environment on spinal cord injury (SCI) and treatment effectiveness remains unclear. Currently, there are limited imaging methods that can directly assess the localized mechanical behavior of spinal cords in vivo. In this study, we apply new ultrasound elastography (USE) techniques to assess SCI in vivo at the site of the injury and at the time of one week post injury, in a rabbit animal model. Eleven rabbits underwent laminectomy procedures. Among them, spinal cords of five rabbits were injured during the procedure. The other six rabbits were used as control. Two neurological statuses were achieved: non-paralysis and paralysis. Ultrasound data were collected one week post-surgery and processed to compute strain ratios. Histologic analysis, mechanical testing, magnetic resonance imaging (MRI), computerized tomography and MRI diffusion tensor imaging (DTI) were performed to validate USE results. Strain ratios computed via USE were found to be significantly different in paralyzed versus non-paralyzed rabbits. The myelomalacia histologic score and spinal cord Young's modulus evaluated in selected animals were in good qualitative agreement with USE assessment. It is feasible to use USE to assess changes in the spinal cord of the presented animal model. In the future, with more experimental data available, USE may provide new quantitative tools for improving SCI diagnosis and prognosis.

Indexed as

Elasticity Imaging TechniquesLagomorphaSpinal Cord InjuriesAnimalsDiffusion Tensor ImagingRabbits

Identifiers

PMID37714920
PMCPMC10504274
OpenAlexW4386769149

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.