Evidence map›Paper›PMID 38184676›Full record

ArticleScientific reports2024

Non-contrast ultrasound image analysis for spatial and temporal distribution of blood flow after spinal cord injury.

Denis Routkevitch, Zoe Soulé, Nicholas Kats, Emily Baca, Andrew M Hersh, Kelley M Kempski-Leadingham, Arjun K Menta, Meghana Bhimreddy, Kelly Jiang, A Daniel Davidar and 4 more

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

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

14 authors at 2 institutions in 1 country.

Denis RoutkevitchDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Zoe SouléDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Nicholas KatsDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Emily BacaDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Andrew M HershDepartment of Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Kelley M Kempski-LeadinghamDepartment of Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Arjun K MentaDepartment of Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Meghana BhimreddyDepartment of Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Kelly JiangDepartment of Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
A Daniel DavidarDepartment of Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Constantin SmitHEPIUS Innovation Laboratory, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Nicholas TheodoreDepartment of Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Nitish V ThakorDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Amir ManbachiDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA. amir.manbachi@jhu.edu.
Johns Hopkins University · USJohns Hopkins Medicine · US

Funding

Medical Scientist Training ProgramT32GM136577 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI ANDREA L COX · 2020 to 2026
$13.4M
Institutional Career Development CoreKL2TR003099 · NCATS · JOHNS HOPKINS UNIVERSITY · PI GEBO, KELLY A · 2019 to 2023
$7.9M
Translational Technologies for Ameliorating Brain InjuryR01HL139158 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI KANNAN, SUJATHA, THAKOR, NITISH VYOMESH · 2018 to 2021
$2.1M
NCATS NIH HHS KL2 TR003099NIGMS NIH HHS T32 GM136577NIH HHS HL139158-01A1NIH HHS KL2 TR003099NIH HHS T32GM136577
6 · The paper itself

Abstract

Ultrasound technology can provide high-resolution imaging of blood flow following spinal cord injury (SCI). Blood flow imaging may improve critical care management of SCI, yet its duration is limited clinically by the amount of contrast agent injection required for high-resolution, continuous monitoring. In this study, we aim to establish non-contrast ultrasound as a clinically translatable imaging technique for spinal cord blood flow via comparison to contrast-based methods and by measuring the spatial distribution of blood flow after SCI. A rodent model of contusion SCI at the T12 spinal level was carried out using three different impact forces. We compared images of spinal cord blood flow taken using both non-contrast and contrast-enhanced ultrasound. Subsequently, we processed the images as a function of distance from injury, yielding the distribution of blood flow through space after SCI, and found the following. (1) Both non-contrast and contrast-enhanced imaging methods resulted in similar blood flow distributions (Spearman's ρ = 0.55, p < 0.0001). (2) We found an area of decreased flow at the injury epicenter, or umbra (p < 0.0001). Unexpectedly, we found increased flow at the periphery, or penumbra (rostral, p < 0.05; caudal, p < 0.01), following SCI. However, distal flow remained unchanged, in what is presumably unaffected tissue. (3) Finally, tracking blood flow in the injury zones over time revealed interesting dynamic changes. After an initial decrease, blood flow in the penumbra increased during the first 10 min after injury, while blood flow in the umbra and distal tissue remained constant over time. These results demonstrate the viability of non-contrast ultrasound as a clinical monitoring tool. Furthermore, our surprising observations of increased flow in the injury periphery pose interesting new questions about how the spinal cord vasculature reacts to SCI, with potentially increased significance of the penumbra.

Indexed as

ContusionsSpinal Cord InjuriesHumansImage Processing, Computer-AssistedUltrasonography

Identifiers

PMID38184676
PMCPMC10771432
OpenAlexW4390640211

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.