Evidence map›Paper›PMID 38251658›Full record

ArticleJournal of neurotrauma2024

Diffusion Weighted Magnetic Resonance Imaging of Spinal Cord Injuries After Instrumented Fusion Stabilization.

Kevin M Koch, Andrew S Nencka, Shekar Kurpad, Matthew D Budde

Open access · greenAbstract read
In one paragraph

Article in Journal of neurotrauma, 2024. 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
0.4field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  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

4 authors at 1 institution in 1 country.

Kevin M KochDepartment of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Andrew S NenckaDepartment of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Shekar KurpadDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Matthew D BuddeDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Medical College of Wisconsin · US

Funding

Enabling Diffusion-Weighted MRI Near Metallic ImplantsR21EB023415 · NIBIB · MEDICAL COLLEGE OF WISCONSIN · PI KOCH, KEVIN M · 2017 to 2018
$422k
Advanced MRI of Spinal Cord InjuryI01RX002751 · VA · CLEMENT J. ZABLOCKI VA MEDICAL CENTER · PI KURPAD, SHEKAR N. · 2019 to 2023
–
NIBIB NIH HHS R21 EB023415RRD VA I01 RX002751
6 · The paper itself

Abstract

Diffusion-weighted magnetic resonance imaging (DW-MRI) is a promising technique for assessing spinal cord injury (SCI) that has historically been challenged by the presence of metallic stabilization hardware. This study leverages recent advances in metal-artifact resistant multi-spectral DW-MRI to enable diffusion quantification throughout the spinal cord even after fusion stabilization. Twelve participants with cervical spinal cord injuries treated with fusion stabilization and 49 asymptomatic able-bodied control participants underwent multi-spectral DW-MRI evaluation. Apparent diffusion coefficient (ADC) values were calculated in axial cord sections. Statistical modeling assessed ADC differences across cohorts and within distinct cord regions of the SCI participants (at, above, or below injured level). Computed models accounted for subject demographics and injury characteristics. ADC was found to be elevated at injured levels compared with non-injured levels (z = 3.2,

Indexed as

Diffusion Magnetic Resonance ImagingSpinal Cord InjuriesSpinal FusionAdultAgedCervical VertebraeFemaleHumansMaleMiddle AgedYoung Adultdiffusion-weightingMRIspinal cord injuryspinal fusion

Identifiers

PMID38251658
PMCPMC12056579
OpenAlexW4391103695

What OpenQuestion holds

Textmetadata
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.