Evidence map›Paper›PMID 31357149›Full record

ArticleNeuroImage. Clinical2019

Diffusion kurtosis and quantitative susceptibility mapping MRI are sensitive to structural abnormalities in amyotrophic lateral sclerosis.

Thomas Welton, Jerome J Maller, R Marc Lebel, Ek T Tan, Dominic B Rowe, Stuart M Grieve

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 8% 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Potential Roles of Neuroimaging in Motor Neuron Disease.Current neurology and neuroscience reports · 2026
    Review
  4. Review
  5. Surface-based Analyses of Diffusional Kurtosis Imaging in Amyotrophic Lateral Sclerosis: Relationship with Onset Subtypes.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Article
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  8. Article
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  11. Review
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  13. Article
  14. Amyotrophic lateral sclerosis.Lancet (London, England) · 2022
    Review
  15. Article
  16. Review
  17. Article
  18. Essential tremor.Nature reviews. Disease primers · 2021
    Review
  19. Article
  20. 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

6 authors at 4 institutions in 3 countries.

Thomas WeltonSydney Translational Imaging Laboratory, Heart Research Institute, Charles Perkins Centre, University of Sydney, Australia. Electronic address: thomas.welton@sydney.edu.au.
Jerome J MallerSydney Translational Imaging Laboratory, Heart Research Institute, Charles Perkins Centre, University of Sydney, Australia; GE Healthcare, Richmond, Victoria, Australia. Electronic address: jerome.maller@ge.com.
R Marc LebelGE Healthcare, Calgary, Alberta, Canada. Electronic address: marc.lebel@ge.com.
Ek T TanGE Global Research, Niskayuna, NY, USA. Electronic address: ek.tan@ge.com.
Dominic B RoweMND Research Centre, Faculty of Medicine and Health Sciences, Macquarie University, NSW, Australia; Macquarie University Hospital, Macquarie, Australia.
Stuart M GrieveSydney Translational Imaging Laboratory, Heart Research Institute, Charles Perkins Centre, University of Sydney, Australia; Macquarie University Hospital, Macquarie, Australia; Department of Radiology, Royal Prince Alfred Hospital, Sydney, Australia. Electronic address: stuart.grieve@sydney.edu.au.
The University of Sydney · AUGE Global Research (United States) · USGeneral Electric (Spain) · ESMacquarie University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo construct a clinical diagnostic biomarker using state-of-the-art microstructural MRI in the motor cortex of people with amyotrophic lateral sclerosis (ALS).

methodsClinical and MRI data were obtained from 21 ALS patients (aged 54 ± 14 years, 33% female) and 63 age- and gender-matched controls (aged 48 ± 18 years, 43% female). MRI was acquired at 3T and included T1-weighted scan (for volumetrics), arterial spin labelling (for cerebral blood flow), susceptibility-weighted angiography (for iron deposition) and multiband diffusion kurtosis imaging (for tissue microstructure). Group differences in imaging measures in the motor cortex were tested by general linear model and relationships to clinical variables by linear regression.

resultsThe ALS group had mild-to-moderate impairment (disease duration: 1.8 ± 0.8 years; ALS functional rating scale 40.2 ± 6.0; forced vital capacity 83% ± 22%). No age or gender differences were present between groups. We found significant group differences in diffusion kurtosis metrics (apparent, mean, radial and axial kurtosis: p < .01) and iron deposition in the motor cortex (p = .03). Within the ALS group, we found significant relationships between motor cortex volume, apparent diffusion and disease duration (adjusted R

conclusionDiffusion kurtosis is sensitive to early changes present in the motor region in ALS. We propose a composite imaging biomarker reflecting tissue microstructural changes in early ALS that may provide clinically valuable diagnostic information.

Indexed as

AdultAgedAmyotrophic Lateral SclerosisBrain MappingCerebral AngiographyCerebrovascular CirculationDiffusion Tensor ImagingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMotor CortexAmyotrophic lateral sclerosis (178)Diffusion kurtosis imaging (additional)DWI (128)Magnetic resonance imaging (120)Motor cortex (311)

Identifiers

PMID31357149
PMCPMC6664242
OpenAlexW2962817143

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.