Evidence map›Paper›PMID 35713309›Full record

ArticleAnnals of neurology2022

A New Advanced MRI Biomarker for Remyelinated Lesions in Multiple Sclerosis.

Reza Rahmanzadeh, Riccardo Galbusera, Po-Jui Lu, Erik Bahn, Matthias Weigel, Muhamed Barakovic, Jonas Franz, Thanh D Nguyen, Pascal Spincemaille, Simona Schiavi and 14 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 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

49 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  10. Importance of RMagnetic 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

24 authors.

Reza RahmanzadehNeurology Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.ORCID 0000-0002-5091-0585
Riccardo GalbuseraNeurology Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.
Po-Jui LuNeurology Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.
Erik BahnInstitute of Neuropathology, University Medical Center, Göttingen, Germany.
Matthias WeigelNeurology Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.
Muhamed BarakovicNeurology Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.
Jonas FranzInstitute of Neuropathology, University Medical Center, Göttingen, Germany.
Thanh D NguyenDepartment of Radiology, Weill Cornell Medical College, New York, NY.
Pascal SpincemailleDepartment of Radiology, Weill Cornell Medical College, New York, NY.
Simona SchiaviDepartment of Computer Science, University of Verona, Verona, Italy.
Alessandro DaducciDepartment of Computer Science, University of Verona, Verona, Italy.
Francesco La RosaSignal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Martina AbsintaDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD.ORCID 0000-0003-0276-383X
Pascal SatiTranslational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD.
Meritxell Bach CuadraSignal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Ernst-Wilhelm RadueNeurology Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.
David LeppertNeurology Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.
Jens KuhleNeurology Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.ORCID 0000-0002-6963-8892
Ludwig KapposNeurology Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.
Wolfgang BrückInstitute of Neuropathology, University Medical Center, Göttingen, Germany.
Daniel S ReichTranslational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD.
Christine StadelmannInstitute of Neuropathology, University Medical Center, Göttingen, Germany.ORCID 0000-0003-1766-5458
Yi WangDepartment of Radiology, Weill Cornell Medical College, New York, NY.
Cristina GranzieraNeurology Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.ORCID 0000-0002-4917-8761

Funding

Multimodal MRI in Multiple SclerosisZIANS003119 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI REICH, DANIEL · 2010 to 2025
$53.4M
Intramural NIH HHS ZIA NS003119
6 · The paper itself

Abstract

objectivesNeuropathological studies have shown that multiple sclerosis (MS) lesions are heterogeneous in terms of myelin/axon damage and repair as well as iron content. However, it remains a challenge to identify specific chronic lesion types, especially remyelinated lesions, in vivo in patients with MS.

methodsWe performed 3 studies: (1) a cross-sectional study in a prospective cohort of 115 patients with MS and 76 healthy controls, who underwent 3 T magnetic resonance imaging (MRI) for quantitative susceptibility mapping (QSM), myelin water fraction (MWF), and neurite density index (NDI) maps. White matter (WM) lesions in QSM were classified into 5 QSM lesion types (iso-intense, hypo-intense, hyperintense, lesions with hypo-intense rims, and lesions with paramagnetic rim legions [PRLs]); (2) a longitudinal study of 40 patients with MS to study the evolution of lesions over 2 years; (3) a postmortem histopathology-QSM validation study in 3 brains of patients with MS to assess the accuracy of QSM classification to identify neuropathological lesion types in 63 WM lesions.

resultsAt baseline, hypo- and isointense lesions showed higher mean MWF and NDI values compared to other QSM lesion types (p < 0.0001). Further, at 2-year follow-up, hypo-/iso-intense lesions showed an increase in MWF. Postmortem analyses revealed that QSM highly accurately identifies (1) fully remyelinated areas as hypo-/iso-intense (sensitivity = 88.89% and specificity = 100%), (2) chronic inactive lesions as hyperintense (sensitivity = 71.43% and specificity = 92.00%), and (3) chronic active/smoldering lesions as PRLs (sensitivity = 92.86% and specificity = 86.36%).

interpretationThese results provide the first evidence that it is possible to distinguish chronic MS lesions in a clinical setting, hereby supporting with new biomarkers to develop and assess remyelinating treatments. ANN NEUROL 2022;92:486-502.

Indexed as

Multiple SclerosisBiomarkersBrainCross-Sectional StudiesHumansLongitudinal StudiesMagnetic Resonance ImagingProspective StudiesWaterBiomarkersWater

Identifiers

PMID35713309
PMCPMC9527017

What OpenQuestion holds

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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.