Evidence map›Paper›PMID 26526531›Full record

ReviewNature reviews. Neurology2015

Nonconventional MRI and microstructural cerebral changes in multiple sclerosis.

Christian Enzinger, Frederik Barkhof, Olga Ciccarelli, Massimo Filippi, Ludwig Kappos, Maria A Rocca, Stefan Ropele, Àlex Rovira, Torben Schneider, Nicola de Stefano and 5 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neurology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
9.1field-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

58 citing papers in PubMed, 1 synthesis or guideline pooled it, 132 citations in OpenAlex.

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  13. Fibrin-targeting molecular MRI in inflammatory CNS disorders.European journal of nuclear medicine and molecular imaging · 2022
    Article
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  15. Advanced MRI quantification of neuroinflammatory disorders.Journal of neuroscience research · 2022
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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

15 authors at 7 institutions in 7 countries.

Christian EnzingerDivision of Neuroradiology, Medical University of Graz, Auenbruggerplatz 22, 8036 Graz, Austria.
Frederik BarkhofVU University MS Center Amsterdam, Department of Radiology and Nuclear Medicine and Department of Physics &Medical Technology, VU University Medical Center, Netherlands.
Olga CiccarelliNMR Research Unit, Queen Square MS Centre, University College London Institute of Neurology, UK.
Massimo FilippiNeuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Italy.
Ludwig KapposDepartment of Neurology, University of Basel, Switzerland.
Maria A RoccaNeuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Italy.
Stefan RopeleDepartment of Neurology, Medical University of Graz, Auenbruggerplatz 22, 8036 Graz, Austria.
Àlex RoviraMagnetic Resonance Unit, Cemcat, Hospital Vall d'Hebron, Autonomous University of Barcelona, Spain.
Torben SchneiderNMR Research Unit, Queen Square MS Centre, University College London Institute of Neurology, UK.
Nicola de StefanoDepartment of Neurological and Behavioural Sciences, University of Siena, Italy.
Hugo VrenkenVU University MS Center Amsterdam, Department of Radiology and Nuclear Medicine and Department of Physics &Medical Technology, VU University Medical Center, Netherlands.
Claudia Wheeler-KingshottNMR Research Unit, Queen Square MS Centre, University College London Institute of Neurology, UK.
Jens WuerfelMedical Image Analysis Center, University Hospital Basel, Switzerland.
Franz FazekasDepartment of Neurology, Medical University of Graz, Auenbruggerplatz 22, 8036 Graz, Austria.
MAGNIMS study group
Medical University of Graz · ATNational Hospital for Neurology and Neurosurgery · GBUniversitat Autònoma de Barcelona · ESUniversity of Basel · CHUniversity of Siena · ITSan Raffaele University of Rome · ITUniversity Hospital of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MRI has become the most important paraclinical tool for diagnosing and monitoring patients with multiple sclerosis (MS). However, conventional MRI sequences are largely nonspecific in the pathology they reveal, and only provide a limited view of the complex morphological changes associated with MS. Nonconventional MRI techniques, such as magnetization transfer imaging (MTI), diffusion-weighted imaging (DWI) and susceptibility-weighted imaging (SWI) promise to complement existing techniques by revealing more-specific information on microstructural tissue changes. Past years have witnessed dramatic advances in the acquisition and analysis of such imaging data, and numerous studies have used these tools to probe tissue alterations associated with MS. Other MRI-based techniques-such as myelin-water imaging, (23)Na imaging, magnetic resonance elastography and magnetic resonance perfusion imaging-might also shed new light on disease-associated changes. This Review summarizes the rapid technical progress in the use of MRI in patients with MS, with a focus on nonconventional structural MRI. We critically discuss the present utility of nonconventional MRI in MS, and provide an outlook on future applications, including clinical practice. This information should allow appropriate selection of advanced MRI techniques, and facilitate their use in future studies of this disease.

Indexed as

NeuroimagingBrain MappingCerebral CortexHumansImage Processing, Computer-AssistedMultiple Sclerosis

Identifiers

PMID26526531
OpenAlexW2206097349

What OpenQuestion holds

Textmetadata
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.