Evidence map›Paper›PMID 29021778›Full record

ArticleFrontiers in neurology2017

The Combined Quantification and Interpretation of Multiple Quantitative Magnetic Resonance Imaging Metrics Enlightens Longitudinal Changes Compatible with Brain Repair in Relapsing-Remitting Multiple Sclerosis Patients.

Guillaume Bonnier, Benedicte Maréchal, Mário João Fartaria, Pavel Falkowskiy, José P Marques, Samanta Simioni, Myriam Schluep, Renaud Du Pasquier, Jean-Philippe Thiran, Gunnar Krueger and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 35 citations in OpenAlex.

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  4. Quantitative TEuropean radiology · 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

11 authors at 8 institutions in 3 countries.

Guillaume BonnierA.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States.
Benedicte MaréchalAdvanced Clinical Imaging Technology (HC CMEA SUI DI BM PI), Siemens Healthcare, Lausanne, Switzerland.
Mário João FartariaAdvanced Clinical Imaging Technology (HC CMEA SUI DI BM PI), Siemens Healthcare, Lausanne, Switzerland.
Pavel FalkowskiyAdvanced Clinical Imaging Technology (HC CMEA SUI DI BM PI), Siemens Healthcare, Lausanne, Switzerland.
José P MarquesDonders Centre for Cognitive Neuroimaging, Radbound University, Nijmegen, Netherlands.
Samanta SimioniNeuropsychology, Institution de Lavigny, Denens, Switzerland.
Myriam SchluepNeurology Service and Neuroimmunology Laboratory, Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Lausanne, Switzerland.
Renaud Du PasquierNeurology Service and Neuroimmunology Laboratory, Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Lausanne, Switzerland.
Jean-Philippe ThiranSignal Processing Laboratory 5 LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Gunnar KruegerSiemens Medical Solutions USA IM MR COL NEZ, Burlington, MA, United States.
Cristina GranzieraA.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States.
École Polytechnique Fédérale de Lausanne · CHUniversity Hospital of Lausanne · CHAthinoula A. Martinos Center for Biomedical Imaging · USHarvard University · USInstitution de Lavigny · CHRadboud University Nijmegen · NLSiemens (Switzerland) · CHSiemens (United States) · US

Funding

Swiss National Science Foundation 131914
6 · The paper itself

Abstract

objectiveQuantitative and semi-quantitative MRI (qMRI) metrics provide complementary specificity and differential sensitivity to pathological brain changes compatible with brain inflammation, degeneration, and repair. Moreover, advanced magnetic resonance imaging (MRI) metrics with overlapping elements amplify the true tissue-related information and limit measurement noise. In this work, we combined multiple advanced MRI parameters to assess focal and diffuse brain changes over 2 years in a group of early-stage relapsing-remitting MS patients.

methodsThirty relapsing-remitting MS patients with less than 5 years disease duration and nine healthy subjects underwent 3T MRI at baseline and after 2 years including T1, T2, T2* relaxometry, and magnetization transfer imaging. To assess longitudinal changes in normal-appearing (NA) tissue and lesions, we used analyses of variance and Bonferroni correction for multiple comparisons. Multivariate linear regression was used to assess the correlation between clinical outcome and multiparametric MRI changes in lesions and NA tissue.

resultsIn patients, we measured a significant longitudinal decrease of mean T2 relaxation times in NA white matter (

Indexed as

advanced magnetic resonance imaging techniquesbrain repairmagnetization transfer imagingmultiple sclerosisrelapsing-remittingrelaxometry

Identifiers

PMID29021778
PMCPMC5623825
OpenAlexW2758901537

What OpenQuestion holds

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LicenceCC BY
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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.