Evidence map›Paper›PMID 28560158›Full record

ArticleNeuroImage. Clinical2017

Application and evaluation of NODDI in the cervical spinal cord of multiple sclerosis patients.

Samantha By, Junzhong Xu, Bailey A Box, Francesca R Bagnato, Seth A Smith

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in NeuroImage. Clinical, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
10.5field-weighted citation impact, top 1% 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

55 citing papers in PubMed, 1 synthesis or guideline pooled it, 104 citations in OpenAlex.

  1. Pooled it
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  12. The apparent diffusion coefficient based on small-field DWI is superior to T2-weighted imaging in evaluating neurological dysfunction of degenerative cervical myelopathy.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
    Article
  13. Leukodystrophy Imaging: Insights for Diagnostic Dilemmas.Medical sciences (Basel, Switzerland) · 2024
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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

5 authors at 2 institutions in 1 country.

Samantha ByDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA; Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.
Junzhong XuDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA; Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
Bailey A BoxVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.
Francesca R BagnatoDepartment of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA.
Seth A SmithDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA; Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA. Electronic address: seth.smith@vanderbilt.edu.
Vanderbilt University Medical Center · USVanderbilt University · US

Funding

Microstructural Characterization of the Optic Nerve in Optic NeuritisR01EY023240 · NEI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SMITH, SETH A · 2014 to 2017
$1.0M
In Vivo Macromolecular and Protein-Based MRI in the Spinal Cord of MS PatientsR21NS087465 · NINDS · VANDERBILT UNIVERSITY · PI SMITH, SETH A · 2014 to 2015
$431k
NEI NIH HHS R01 EY023240NINDS NIH HHS R21 NS087465
6 · The paper itself

Abstract

introductionThere is a need to develop imaging methods sensitive to axonal injury in multiple sclerosis (MS), given the prominent impact of axonal pathology on disability and outcome. Advanced multi-compartmental diffusion models offer novel indices sensitive to white matter microstructure. One such model, neurite orientation dispersion and density imaging (NODDI), is sensitive to neurite morphology, providing indices of apparent volume fractions of axons (v

methodsNODDI was applied in the cervical spinal cord in a cohort of 8 controls and 6 MS patients. Statistical analyses were performed to test the sensitivity of NODDI-derived indices to pathology in MS (both lesion and normal appearing white matter NAWM). Diffusion kurtosis imaging (DKI) and diffusion tensor imaging (DTI) analysis were also performed to compare with NODDI.

resultsA decrease in NODDI-derived v

conclusionNODDI provides unique contrast that is not available with DKI or DTI, enabling improved characterization of the spinal cord in MS.

Indexed as

NeuritesAdultCervical CordDiffusion Magnetic Resonance ImagingFeasibility StudiesFemaleHumansImage Interpretation, Computer-AssistedMiddle AgedMultiple Sclerosis, Relapsing-RemittingReproducibility of ResultsAxonDiffusionMultiple sclerosisNODDISpinal cordVolume fraction

Identifiers

PMID28560158
PMCPMC5443965
OpenAlexW2614895229

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.