Evidence map›Paper›PMID 29527473›Full record

ArticleNeuroImage. Clinical2018

Fibre-specific white matter changes in multiple sclerosis patients with optic neuritis.

Sanuji Gajamange, David Raffelt, Thijs Dhollander, Elaine Lui, Anneke van der Walt, Trevor Kilpatrick, Joanne Fielding, Alan Connelly, Scott Kolbe

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 63 citations in OpenAlex.

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  8. Diffusion-derived parameters in lesions, peri-lesion and normal-appearing white matter in multiple sclerosis using tensor, kurtosis and fixel-based analysis.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
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  14. Astrocyte metabolism in multiple sclerosis investigated by 1-C-11 acetate PET.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
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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

9 authors at 4 institutions in 1 country.

Sanuji GajamangeDepartment of Anatomy and Neuroscience, University of Melbourne, Australia.
David RaffeltThe Florey Institute of Neuroscience and Mental Health, Melbourne, Australia.
Thijs DhollanderThe Florey Institute of Neuroscience and Mental Health, Melbourne, Australia.
Elaine LuiDepartment of Radiology, Royal Melbourne Hospital, University of Melbourne, Australia.
Anneke van der WaltDepartment of Medicine, University of Melbourne, Australia.
Trevor KilpatrickDepartment of Anatomy and Neuroscience, University of Melbourne, Australia.
Joanne FieldingSchool of Psychological Sciences, Monash University, Australia.
Alan ConnellyThe Florey Institute of Neuroscience and Mental Health, Melbourne, Australia; The Florey Department of Neuroscience and Mental Health, University of Melbourne, Australia.
Scott KolbeDepartment of Anatomy and Neuroscience, University of Melbourne, Australia; The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia. Electronic address: kolbes@unimelb.edu.au.
The University of Melbourne · AUFlorey Institute of Neuroscience and Mental Health · AUMonash University · AUThe Royal Melbourne Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long term irreversible disability in multiple sclerosis (MS) is thought to be primarily driven by axonal degeneration. Axonal degeneration leads to degenerative atrophy, therefore early markers of axonal degeneration are required to predict clinical disability and treatment efficacy. Given that additional pathologies such as inflammation, demyelination and oedema are also present in MS, it is essential to develop axonal markers that are not confounded by these processes. The present study investigated a novel method for measuring axonal degeneration in MS based on high angular resolution diffusion magnetic resonance imaging. Unlike standard methods, this novel method involved advanced acquisition and modelling for improved axonal sensitivity and specificity. Recent work has developed analytical methods, two novel axonal markers, fibre density and cross-section, that can be estimated for each fibre direction in each voxel (termed a "fixel"). This technique, termed fixel-based analysis, thus simultaneously estimates axonal density and white matter atrophy from specific white matter tracts. Diffusion-weighted imaging datasets were acquired for 17 patients with a history of acute unilateral optic neuritis (35.3 ± 10.2 years, 11 females) and 14 healthy controls (32.7 ± 4.8 years, 8 females) on a 3 T scanner. Fibre density values were compared to standard diffusion tensor imaging parameters (fractional anisotropy and mean diffusivity) in lesions and normal appearing white matter. Group comparisons were performed for each fixel to assess putative differences in fibre density and fibre cross-section. Fibre density was observed to have a comparable sensitivity to fractional anisotropy for detecting white matter pathology in MS, but was not affected by crossing axonal fibres. Whole brain fixel-based analysis revealed significant reductions in fibre density and fibre cross-section in the inferior fronto-occipital fasciculus (including the optic radiations) of patients compared to controls. We interpret this result to indicate that this fixel-based approach is able to detect early loss of fibre density and cross-section in the optic radiations in MS patients with a history of optic neuritis. Fibre-specific markers of axonal degeneration should be investigated further for use in early stage therapeutic trials, or to monitor axonal injury in early stage MS.

Indexed as

AdultAnisotropyCorrelation of DataDiffusion Magnetic Resonance ImagingFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedMultiple SclerosisNerve FibersOptic NeuritisWhite MatterYoung AdultApparent fibre densityAxonal degenerationDiffusionFC, fibre cross-sectionFDC, fibre density and cross-sectionFD, fibre densityILF, inferior longitudinal fasciculusMRIMS, multiple sclerosisMultiple sclerosisOptic neuritisSS3T-CSD, single-shell 3-tissue constrained spherical deconvolution

Identifiers

PMID29527473
PMCPMC5842545
OpenAlexW2756672827

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.