Evidence map›Paper›PMID 33180553›Full record

ArticleThe British journal of radiology2021

Segmented quantitative diffusion tensor imaging evaluation of acute traumatic cervical spinal cord injury.

Mahmud Mossa-Basha, Daniel J Peterson, Daniel S Hippe, Justin E Vranic, Christoph Hofstetter, Maria Reyes, Charles Bombardier, Jeffrey G Jarvik

Abstract readEvaluation Study
In one paragraph

Article in The British journal of radiology, 2021. 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
–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

5 citing papers in PubMed.

  1. Article
  2. The use of diffusion tensor imaging in spinal pathology: a comprehensive literature review.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2024
    Review
  3. Review
  4. Article
  5. Role of diffusion tensor imaging and tractography in spinal cord injury.Journal of clinical orthopaedics and trauma · 2022
    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

8 authors.

Mahmud Mossa-BashaDepartment of Radiology, University of Washington, Seattle, WA, USA.
Daniel J PetersonDepartment of Radiology, University of Washington, Seattle, WA, USA.
Daniel S HippeDepartment of Radiology, University of Washington, Seattle, WA, USA.
Justin E VranicDepartment of Radiology, Massachusetts General Hospital, Boston, MA, USA.
Christoph HofstetterDepartment of Neurosurgery, University of Washington, Seattle, WA, USA.
Maria ReyesDepartment of Rehabilitation Medicine, University of Washington, Seattle, WA, USA.
Charles BombardierDepartment of Rehabilitation Medicine, University of Washington, Seattle, WA, USA.
Jeffrey G JarvikDepartment of Radiology, University of Washington, Seattle, WA, USA.

Funding

UW Core Center for Clinical Research of Musculoskeletal ConditionsP30AR072572 · NIAMS · UNIVERSITY OF WASHINGTON · PI JEFFREY G JARVIK, Pradeep Suri · 2017 to 2026
$8.3M
NIAMS NIH HHS P30 AR072572
6 · The paper itself

Abstract

objectivesTo evaluate segmented diffusion tensor imaging (DTI) white matter tract fractional anisotropy (FA) and mean diffusivity (MD) values in acute cervical spinal cord injury (CSCI).

methods15 patients with acute CSCI and 12 control subjects were prospectively recruited and underwent axial DTI as part of the spine trauma MRI. Datasets were put through a semi-automated probabilistic segmentation algorithm that analyzed white matter, motor and sensory tracts. FA and MD values were calculated for white matter, sensory (spinal lemniscal) and motor tracts (ventral/lateral corticospinal) at the level of clinical injury, levels remote from injury and in normal controls.

resultsThere were significant differences in FA between the level of injury and controls for total white matter (0.65 ± .09

conclusionAbnormalities in DTI metrics of DTI-segmented white matter tracts were detected at the neurological level of injury relative to normal controls and levels remote from the injury site, confirming its value in CSCI assessment. ADVANCES IN KNOWLEDGE: Segmented DTI analysis can help identify microstructural spinal cord abnormalities in the setting of traumatic cervical spinal cord injury.

Indexed as

Acute DiseaseAdultCervical CordDiffusion Tensor ImagingEvaluation Studies as TopicFemaleHumansMaleProspective StudiesSpinal Cord Injuries

Identifiers

PMID33180553
PMCPMC7934312

What OpenQuestion holds

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Registered trials

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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.