Paramagnetic rims are a promising diagnostic imaging biomarker in multiple sclerosis.


Journal

Multiple sclerosis (Houndmills, Basingstoke, England)
ISSN: 1477-0970
Titre abrégé: Mult Scler
Pays: England
ID NLM: 9509185

Informations de publication

Date de publication:
12 2022
Historique:
pubmed: 27 8 2022
medline: 23 11 2022
entrez: 26 8 2022
Statut: ppublish

Résumé

White matter lesions (WMLs) on brain magnetic resonance imaging (MRI) in multiple sclerosis (MS) may contribute to misdiagnosis. In chronic active lesions, peripheral iron-laden macrophages appear as paramagnetic rim lesions (PRLs). To evaluate the sensitivity and specificity of PRLs in differentiating MS from mimics using clinical 3T MRI scanners. This retrospective international study reviewed MRI scans of patients with MS ( At least one PRL was found in 22.9% of MS and 26.1% of clinically isolated syndrome (CIS) patients. Only one PRL was found elsewhere. The identification of ⩾1 PRL was the optimal cut-off and had high specificity (99.7%, confidence interval (CI) = 98.20%-99.99%) when distinguishing MS and CIS from mimics and healthy controls, but lower sensitivity (24.0%, CI = 18.9%-36.6%). All patients with a PRL showing a central vein sign (CVS) in the same lesion ( PRLs may reduce diagnostic uncertainty in MS by being a highly specific imaging diagnostic biomarker, especially when used in conjunction with the CVS.

Sections du résumé

BACKGROUND
White matter lesions (WMLs) on brain magnetic resonance imaging (MRI) in multiple sclerosis (MS) may contribute to misdiagnosis. In chronic active lesions, peripheral iron-laden macrophages appear as paramagnetic rim lesions (PRLs).
OBJECTIVE
To evaluate the sensitivity and specificity of PRLs in differentiating MS from mimics using clinical 3T MRI scanners.
METHOD
This retrospective international study reviewed MRI scans of patients with MS (
RESULTS
At least one PRL was found in 22.9% of MS and 26.1% of clinically isolated syndrome (CIS) patients. Only one PRL was found elsewhere. The identification of ⩾1 PRL was the optimal cut-off and had high specificity (99.7%, confidence interval (CI) = 98.20%-99.99%) when distinguishing MS and CIS from mimics and healthy controls, but lower sensitivity (24.0%, CI = 18.9%-36.6%). All patients with a PRL showing a central vein sign (CVS) in the same lesion (
CONCLUSION
PRLs may reduce diagnostic uncertainty in MS by being a highly specific imaging diagnostic biomarker, especially when used in conjunction with the CVS.

Identifiants

pubmed: 36017870
doi: 10.1177/13524585221118677
pmc: PMC9679799
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2212-2220

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Auteurs

Isobel Meaton (I)

Mental Health and Clinical Neurosciences Academic Unit, School of Medicine, University of Nottingham, Nottingham, UK.

Amjad Altokhis (A)

Mental Health and Clinical Neurosciences Academic Unit, School of Medicine, University of Nottingham, Nottingham, UK.

Christopher Martin Allen (CM)

Mental Health and Clinical Neurosciences Academic Unit, School of Medicine, University of Nottingham, Nottingham, UK.

Margareta A Clarke (MA)

Institute of Imaging Science, Vanderbilt University Medical Center, Vanderbilt University, Nashville, TN, USA.

Tim Sinnecker (T)

Medical Image Analysis Center AG and Department of Biomedical Engineering, University Basel, Basel, Switzerland.

Dominik Meier (D)

Medical Image Analysis Center AG and Department of Biomedical Engineering, University Basel, Basel, Switzerland.

Christian Enzinger (C)

Department of Neurology, Medical University of Graz, Graz, Austria.

Massimiliano Calabrese (M)

Neurology Unit, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.

Nicola De Stefano (N)

Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy.

Alain Pitiot (A)

Laboratory of Image and Data Analysis, Ilixa Ltd, London, UK.

Antonio Giorgio (A)

Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy.

Menno M Schoonheim (MM)

Department of Anatomy and Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.

Friedemann Paul (F)

Neurocure Clinical Research Center, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany.

Mikolaj A Pawlak (MA)

Department of Neurology and Cerebrovascular Disorders, Poznan University of Medical Sciences, Poznan, Poland.

Reinhold Schmidt (R)

Department of Neurology, Medical University of Graz, Graz, Austria.

Cristina Granziera (C)

Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital, University of Basel, Basel, Switzerland.

Ludwig Kappos (L)

Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital, University of Basel, Basel, Switzerland.

Xavier Montalban (X)

Centre d'Esclerosi Multiple de Catalunya (Cemcat), Department of Neurology/Neuroimmunology, Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Barcelona, Spain.

Àlex Rovira (À)

Section of Neuroradiology, Department of Radiology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain.

Jens Wuerfel (J)

Medical Image Analysis Center AG and Department of Biomedical Engineering, University Basel, Basel, Switzerland/Neurocure Clinical Research Center, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany.

Nikos Evangelou (N)

Mental Health and Clinical Neurosciences Academic Unit, School of Medicine, University of Nottingham, Nottingham, UK.

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