Evidence map›Paper›PMID 39444702›Full record

ReviewThe Lancet regional health. Europe2024

Current and future role of MRI in the diagnosis and prognosis of multiple sclerosis.

Maria A Rocca, Paolo Preziosa, Frederik Barkhof, Wallace Brownlee, Massimiliano Calabrese, Nicola De Stefano, Cristina Granziera, Stefan Ropele, Ahmed T Toosy, Àngela Vidal-Jordana and 2 more

Abstract readReview
In one paragraph

Review in The Lancet regional health. Europe, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  14. Hidden Pitfall in Multiple Sclerosis Imaging: How Standard Susceptibility-Weighted Imaging (SWI) May Miss Paramagnetic Rim Lesions.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026
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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.

Maria A RoccaNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Paolo PreziosaNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Frederik BarkhofDepartment of Radiology & Nuclear Medicine, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands.
Wallace BrownleeQueen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK.
Massimiliano CalabreseThe Multiple Sclerosis Center of University Hospital of Verona, Department of Neurosciences and Biomedicine and Movement, Verona, Italy.
Nicola De StefanoDepartment of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy.
Cristina GranzieraDepartment of Neurology, University Hospital Basel and University of Basel, Basel, Switzerland.
Stefan RopeleDepartment of Neurology, Medical University of Graz, Graz, Austria.
Ahmed T ToosyQueen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK.
Àngela Vidal-JordanaServicio de Neurología, Centro de Esclerosis Múltiple de Catalunya (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain.
Massimiliano Di FilippoSection of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy.
Massimo FilippiNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the majority of cases, multiple sclerosis (MS) is characterized by reversible episodes of neurological dysfunction, often followed by irreversible clinical disability. Accurate diagnostic criteria and prognostic markers are critical to enable early diagnosis and correctly identify patients with MS at increased risk of disease progression. The 2017 McDonald diagnostic criteria, which include magnetic resonance imaging (MRI) as a fundamental paraclinical tool, show high sensitivity and accuracy for the diagnosis of MS allowing early diagnosis and treatment. However, their inappropriate application, especially in the context of atypical clinical presentations, may increase the risk of misdiagnosis. To further improve the diagnostic process, novel imaging markers are emerging, but rigorous validation and standardization is still needed before they can be incorporated into clinical practice. This Series article discusses the current role of MRI in the diagnosis and prognosis of MS, while examining promising MRI markers, which could serve as reliable predictors of subsequent disease progression, helping to optimize the management of individual patients with MS. We also explore the potential of new technologies, such as artificial intelligence and automated quantification tools, to support clinicians in the management of patients. Yet, to ensure consistency and improvement in the use of MRI in MS diagnosis and patient follow-up, it is essential that standardized brain and spinal cord MRI protocols are applied, and that interpretation of results is performed by qualified (neuro)radiologists in all countries.

Indexed as

DiagnosisMagnetic resonance imagingMultiple sclerosis

Identifiers

PMID39444702
PMCPMC11496980

What OpenQuestion holds

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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.