Evidence map›Paper›PMID 36427168›Full record

ReviewJournal of neurology2023

Present and future of the diagnostic work-up of multiple sclerosis: the imaging perspective.

Massimo Filippi, Paolo Preziosa, Douglas L Arnold, Frederik Barkhof, Daniel M Harrison, Pietro Maggi, Caterina Mainero, Xavier Montalban, Elia Sechi, Brian G Weinshenker and 1 more

Registry-linked trialOpen access · hybridAbstract readReview
In one paragraph

Review in Journal of neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07705581 (Validation and Standardization of Paramagnetic Rim Lesion), which is not on this map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
9.2field-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.

NCT07705581 active not recruitingnot on this map

Validation and Standardization of Paramagnetic Rim Lesion (PRL) Identification in Multiple Sclerosis Across MAGNIMS Centers - From Scientific Setting Towards Clinical Applicability

TypeobservationalSponsorIRCCS San RaffaeleRan2017 to 2028Enrolled1,402ConditionsMultiple Sclerosis
3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 69 citations in OpenAlex.

  1. Review
  2. Observational
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. Multiple sclerosis: molecular pathogenesis and therapeutic intervention.Signal transduction and targeted therapy · 2025
    Review
  14. Article
  15. Article
  16. SARS-CoV-2 Is Linked to Brain Volume Loss in Multiple Sclerosis.Annals of clinical and translational neurology · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Article
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 9 institutions in 8 countries.

Massimo FilippiNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy. filippi.massimo@hsr.it.ORCID http://orcid.org/0000-0002-5485-0479
Paolo PreziosaNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy.
Douglas L ArnoldNeuroRx Research, Montreal, QC, Canada.
Frederik BarkhofDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit, Amsterdam, Netherlands.
Daniel M HarrisonDepartment of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.
Pietro MaggiDepartment of Neurology, Cliniques Universitaires Saint Luc, Université Catholique de Louvain, Brussels, Belgium.
Caterina MaineroDepartment of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.
Xavier MontalbanDepartment of Neurology, Cemcat, Hospital Vall d'Hebron, Autonomous University of Barcelona, Barcelona, Spain.
Elia SechiDepartment of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy.
Brian G WeinshenkerDepartment of Neurology, University of Virginia, Charlottesville, VA, USA.
Maria A RoccaNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy.
Vita-Salute San Raffaele University · ITCliniques Universitaires Saint-Luc · BEHarvard University · USNational Hospital for Neurology and Neurosurgery · GBNeuroRx Research (Canada) · CAUniversitat Autònoma de Barcelona · ESUniversity of Maryland, Baltimore · USUniversity of Sassari · ITUniversity of Virginia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, the use of magnetic resonance imaging (MRI) for the diagnostic work-up of multiple sclerosis (MS) has evolved considerably. The 2017 McDonald criteria show high sensitivity and accuracy in predicting a second clinical attack in patients with a typical clinically isolated syndrome and allow an earlier diagnosis of MS. They have been validated, are evidence-based, simplify the clinical use of MRI criteria and improve MS patients' management. However, to limit the risk of misdiagnosis, they should be applied by expert clinicians only after the careful exclusion of alternative diagnoses. Recently, new MRI markers have been proposed to improve diagnostic specificity for MS and reduce the risk of misdiagnosis. The central vein sign and chronic active lesions (i.e., paramagnetic rim lesions) may increase the specificity of MS diagnostic criteria, but further effort is necessary to validate and standardize their assessment before implementing them in the clinical setting. The feasibility of subpial demyelination assessment and the clinical relevance of leptomeningeal enhancement evaluation in the diagnostic work-up of MS appear more limited. Artificial intelligence tools may capture MRI attributes that are beyond the human perception, and, in the future, artificial intelligence may complement human assessment to further ameliorate the diagnostic work-up and patients' classification. However, guidelines that ensure reliability, interpretability, and validity of findings obtained from artificial intelligence approaches are still needed to implement them in the clinical scenario. This review provides a summary of the most recent updates regarding the application of MRI for the diagnosis of MS.

Indexed as

Demyelinating DiseasesMultiple SclerosisArtificial IntelligenceHumansMagnetic Resonance ImagingReproducibility of ResultsDiagnosisMagnetic resonance imagingMultiple sclerosis

Identifiers

PMID36427168
PMCPMC9971159
OpenAlexW4309944423

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.