Evidence map›Paper›PMID 24755826›Full record

ArticlePloS one2014

Multi-parametric spinal cord MRI as potential progression marker in amyotrophic lateral sclerosis.

Mohamed-Mounir El Mendili, Julien Cohen-Adad, Mélanie Pelegrini-Issac, Serge Rossignol, Régine Morizot-Koutlidis, Véronique Marchand-Pauvert, Caroline Iglesias, Sina Sangari, Rose Katz, Stéphane Lehericy and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 4 pooled it
9.0field-weighted citation impact, top 2% 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

53 citing papers in PubMed, 4 syntheses or guidelines pooled it, 101 citations in OpenAlex.

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  18. Combined brain and spinal FDG PET allows differentiation between ALS and ALS mimics.European journal of nuclear medicine and molecular imaging · 2020
    Article
  19. MRI Measurement of Upper Cervical Spinal Cord Cross-Sectional Area in Children.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2020
    Article
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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

12 authors at 7 institutions in 2 countries.

Mohamed-Mounir El MendiliSorbonne Universités, UPMC Univ Paris 06, UM CR 2, Laboratoire d'Imagerie Biomédicale, Paris, Île-de-France, France; CNRS, UMR 7371, Laboratoire d'Imagerie Biomédicale, Paris, Île-de-France, France; INSERM, U 1146, Laboratoire d'Imagerie Biomédicale, Paris, Île-de-France, France.
Julien Cohen-AdadEcole Polytechnique de Montréal, Département de Génie Électrique, Montréal, Québec, Canada.
Mélanie Pelegrini-IssacSorbonne Universités, UPMC Univ Paris 06, UM CR 2, Laboratoire d'Imagerie Biomédicale, Paris, Île-de-France, France; CNRS, UMR 7371, Laboratoire d'Imagerie Biomédicale, Paris, Île-de-France, France; INSERM, U 1146, Laboratoire d'Imagerie Biomédicale, Paris, Île-de-France, France.
Serge RossignolUniversité de Montréal, GRSNC, Faculty de Médecine, Montréal, Québec, Canada.
Régine Morizot-KoutlidisAP-HP, Groupe Hospitalier Pitié-Salpêtrière, Département d'Explorations Fonctionnelles Neurologiques, Paris, Île-de-France, France.
Véronique Marchand-PauvertSorbonne Universités, UPMC Univ Paris 06, UM CR 2, Laboratoire d'Imagerie Biomédicale, Paris, Île-de-France, France; CNRS, UMR 7371, Laboratoire d'Imagerie Biomédicale, Paris, Île-de-France, France; INSERM, U 1146, Laboratoire d'Imagerie Biomédicale, Paris, Île-de-France, France.
Caroline IglesiasSorbonne Universités, UPMC Univ Paris 06, UM CR 2, Laboratoire d'Imagerie Biomédicale, Paris, Île-de-France, France; CNRS, UMR 7371, Laboratoire d'Imagerie Biomédicale, Paris, Île-de-France, France; INSERM, U 1146, Laboratoire d'Imagerie Biomédicale, Paris, Île-de-France, France.
Sina SangariSorbonne Universités, UPMC Univ Paris 06, UM CR 2, Laboratoire d'Imagerie Biomédicale, Paris, Île-de-France, France; CNRS, UMR 7371, Laboratoire d'Imagerie Biomédicale, Paris, Île-de-France, France; INSERM, U 1146, Laboratoire d'Imagerie Biomédicale, Paris, Île-de-France, France.
Rose KatzSorbonne Universités, UPMC Univ Paris 06, UM CR 2, Laboratoire d'Imagerie Biomédicale, Paris, Île-de-France, France; CNRS, UMR 7371, Laboratoire d'Imagerie Biomédicale, Paris, Île-de-France, France; INSERM, U 1146, Laboratoire d'Imagerie Biomédicale, Paris, Île-de-France, France.
Stéphane LehericyInserm U975, UPMC Univ Paris 6, UMR-S975, CNRS UMR7225, Centre de recherche de l'Institut du Cerveau et de la Moelle épinière - CRICM, Centre de Neuroimagerie de Recherche - CENIR, Paris, Île-de-France, France; APHP, Groupe Hospitalier Pitié-Salpêtrière, Service de Neuroradiologie, Paris, Île-de-France, France.
Habib BenaliSorbonne Universités, UPMC Univ Paris 06, UM CR 2, Laboratoire d'Imagerie Biomédicale, Paris, Île-de-France, France; CNRS, UMR 7371, Laboratoire d'Imagerie Biomédicale, Paris, Île-de-France, France; INSERM, U 1146, Laboratoire d'Imagerie Biomédicale, Paris, Île-de-France, France.
Pierre-François PradatSorbonne Universités, UPMC Univ Paris 06, UM CR 2, Laboratoire d'Imagerie Biomédicale, Paris, Île-de-France, France; CNRS, UMR 7371, Laboratoire d'Imagerie Biomédicale, Paris, Île-de-France, France; INSERM, U 1146, Laboratoire d'Imagerie Biomédicale, Paris, Île-de-France, France; APHP, Groupe Hospitalier Pitié-Salpêtrière, Département des Maladies du système Nerveux, Paris, Île-de-France, France.
Centre National de la Recherche Scientifique · FRInserm · FRAssistance Publique – Hôpitaux de Paris · FRLaboratoire d’Imagerie Biomédicale · FRPolytechnique Montréal · CASorbonne Université · FRUniversité de Montréal · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate multimodal MRI of the spinal cord in predicting disease progression and one-year clinical status in amyotrophic lateral sclerosis (ALS) patients. MATERIALS AND

methodsAfter a first MRI (MRI1), 29 ALS patients were clinically followed during 12 months; 14/29 patients underwent a second MRI (MRI2) at 11±3 months. Cross-sectional area (CSA) that has been shown to be a marker of lower motor neuron degeneration was measured in cervical and upper thoracic spinal cord from T2-weighted images. Fractional anisotropy (FA), axial/radial/mean diffusivities (λ⊥, λ//, MD) and magnetization transfer ratio (MTR) were measured within the lateral corticospinal tract in the cervical region. Imaging metrics were compared with clinical scales: Revised ALS Functional Rating Scale (ALSFRS-R) and manual muscle testing (MMT) score.

resultsAt MRI1, CSA correlated significantly (P<0.05) with MMT and arm ALSFRS-R scores. FA correlated significantly with leg ALFSRS-R scores. One year after MRI1, CSA predicted (P<0.01) arm ALSFSR-R subscore and FA predicted (P<0.01) leg ALSFRS-R subscore. From MRI1 to MRI2, significant changes (P<0.01) were detected for CSA and MTR. CSA rate of change (i.e. atrophy) highly correlated (P<0.01) with arm ALSFRS-R and arm MMT subscores rate of change.

conclusionAtrophy and DTI metrics predicted ALS disease progression. Cord atrophy was a better biomarker of disease progression than diffusion and MTR. Our study suggests that multimodal MRI could provide surrogate markers of ALS that may help monitoring the effect of disease-modifying drugs.

Indexed as

Disease ProgressionMagnetic Resonance ImagingAmyotrophic Lateral SclerosisDemographyDisability EvaluationFemaleFollow-Up StudiesHumansLinear ModelsMaleMiddle AgedPyramidal TractsSpinal Cord

Identifiers

PMID24755826
PMCPMC3995720
OpenAlexW2034917579

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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.