dc.contributor
Institut Català de la Salut
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[Cagol A] Translational Imaging in Neurology Basel, Department of Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland. Department of Neurology, University Hospital Basel, Switzerland. Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital Basel and University of Basel, Basel, Switzerland. Department of Health Sciences, University of Genova, Genova, Italy. [Cortese R] Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy. Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, University College London Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom. [Barakovic M] Translational Imaging in Neurology Basel, Department of Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland. Department of Neurology, University Hospital Basel, Switzerland. Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital Basel and University of Basel, Basel, Switzerland. [Schaedelin S] Department of Neurology, University Hospital Basel, Switzerland. Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital Basel and University of Basel, Basel, Switzerland. Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland. [Ruberte E] Translational Imaging in Neurology Basel, Department of Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland. Department of Neurology, University Hospital Basel, Switzerland. Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital Basel and University of Basel, Basel, Switzerland. Medical Image Analysis Center, Basel, Switzerland. [Absinta M] Institute of Experimental Neurology, Division of Neuroscience, Vita-Salute San Raffaele University and Istituto di Ricovero e Cura a Carattere Scientifico, San Raffaele Scientific Institute, Milan, Italy. [Montalban X] Servei de Neurologia-Neuroimmunologia, Centre d’Esclerosi Múltiple de Catalunya (CEMCAT), Barcelona, Spain. Vall d’Hebron Hospital Universitari, Universitat Autònoma de Barcelona, Bellaterra, Spain. Division of Neurology, St Michael’s Hospital, University of Toronto, Toronto, Ontario, Canada. [Rovira À] Secció de Neuroradiologia, Servei de Radiodiagnòstic, Vall d’Hebron Hospital Universitari, Universitat Autònoma de Barcelona, Bellaterra, Spain
dc.contributor
Vall d'Hebron Barcelona Hospital Campus
dc.contributor.author
Cagol, Alessandro
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Cortese, Rosa
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Barakovic, Muhamed
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Schaedelin, Sabine
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ruberte, esther
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absinta, martina
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Rovira, Alex
dc.contributor.author
Montalban, Xavier
dc.date.issued
2025-02-28T07:37:34Z
dc.date.issued
2025-02-28T07:37:34Z
dc.identifier
Cagol A, Cortese R, Barakovic M, Schaedelin S, Ruberte E, Absinta M, et al. Diagnostic Performance of Cortical Lesions and the Central Vein Sign in Multiple Sclerosis. JAMA Neurol. 2024 Dec 11;81(2):143–53.
dc.identifier
https://hdl.handle.net/11351/12664
dc.identifier
10.1001/jamaneurol.2023.4737
dc.identifier
001125368600004
dc.description.abstract
Lesions corticals; Vena central; Esclerosis múltiple
dc.description.abstract
Lesions corticals; Vena central; Esclerosis múltiple
dc.description.abstract
Cortical Lesions; Central vein; Multiple sclerosis
dc.description.abstract
Importance Multiple sclerosis (MS) misdiagnosis remains an important issue in clinical practice.
Objective To quantify the performance of cortical lesions (CLs) and central vein sign (CVS) in distinguishing MS from other conditions showing brain lesions on magnetic resonance imaging (MRI).
Design, Setting, and Participants This was a retrospective, cross-sectional multicenter study, with clinical and MRI data acquired between January 2010 and May 2020. Centralized MRI analysis was conducted between July 2020 and December 2022 by 2 raters blinded to participants’ diagnosis. Participants were recruited from 14 European centers and from a multicenter pan-European cohort. Eligible participants had a diagnosis of MS, clinically isolated syndrome (CIS), or non-MS conditions; availability of a brain 3-T MRI scan with at least 1 sequence suitable for CL and CVS assessment; presence of T2-hyperintense white matter lesions (WMLs). A total of 1051 individuals were included with either MS/CIS (n = 599; 386 [64.4%] female; mean [SD] age, 41.5 [12.3] years) or non-MS conditions (including other neuroinflammatory disorders, cerebrovascular disease, migraine, and incidental WMLs in healthy control individuals; n = 452; 302 [66.8%] female; mean [SD] age, 49.2 [14.5] years). Five individuals were excluded due to missing clinical or demographic information (n = 3) or unclear diagnosis (n = 2).
Exposures MS/CIS vs non-MS conditions.
Main Outcomes and Measures Area under the receiver operating characteristic curves (AUCs) were used to explore the diagnostic performance of CLs and the CVS in isolation and in combination; sensitivity, specificity, and accuracy were calculated for various cutoffs. The diagnostic importance of CLs and CVS compared to conventional MRI features (ie, presence of infratentorial, periventricular, and juxtacortical WMLs) was ranked with a random forest model.
Results The presence of CLs and the previously proposed 40% CVS rule had a sensitivity, specificity, and accuracy for MS of 59.0% (95% CI, 55.1-62.8), 93.6% (95% CI, 91.4-95.6), and 73.9% (95% CI, 71.6-76.3) and 78.7% (95% CI, 75.5-82.0), 86.0% (95% CI, 82.1-89.5), and 81.5% (95% CI, 78.9-83.7), respectively. The diagnostic performance of the CVS (AUC, 0.89 [95% CI, 0.86-0.91]) was superior to that of CLs (AUC, 0.77 [95% CI, 0.75-0.80]; P < .001), and was increased when combining the 2 imaging markers (AUC, 0.92 [95% CI, 0.90-0.94]; P = .04); in the random forest model, both CVS and CLs outperformed the presence of infratentorial, periventricular, and juxtacortical WMLs in supporting MS differential diagnosis.
Conclusions and Relevance The findings in this study suggest that CVS and CLs may be valuable tools to increase the accuracy of MS diagnosis.
dc.format
application/pdf
dc.publisher
American Medical Association
dc.relation
JAMA Neurology;81(2)
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https://doi.org/10.1001/jamaneurol.2023.4737
dc.rights
Attribution 4.0 International
dc.rights
http://creativecommons.org/licenses/by/4.0/
dc.rights
info:eu-repo/semantics/openAccess
dc.subject
Esclerosi múltiple - Diagnòstic
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Esclerosi múltiple - Imatgeria per ressonància magnètica
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Errors de diagnòstic
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Sistema nerviós - Malalties
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DISEASES::Nervous System Diseases::Autoimmune Diseases of the Nervous System::Demyelinating Autoimmune Diseases, CNS::Multiple Sclerosis
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Other subheadings::Other subheadings::/diagnosis
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ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Imaging::Tomography::Magnetic Resonance Imaging
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ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Diagnostic Errors
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DISEASES::Nervous System Diseases::Demyelinating Diseases
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ENFERMEDADES::enfermedades del sistema nervioso::enfermedades autoinmunitarias del sistema nervioso::enfermedades autoinmunes desmielinizantes del SNC::esclerosis múltiple
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Otros calificadores::Otros calificadores::/diagnóstico
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TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::técnicas y procedimientos diagnósticos::diagnóstico por imagen::tomografía::imagen por resonancia magnética
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TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::errores diagnósticos
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ENFERMEDADES::enfermedades del sistema nervioso::enfermedades desmielinizantes
dc.title
Diagnostic Performance of Cortical Lesions and the Central Vein Sign in Multiple Sclerosis
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion