Web of Science: 13 cites, Scopus: 12 cites, Google Scholar: cites,
Present and future of the diagnostic work-up of multiple sclerosis : the imaging perspective
Filippi, Massimo (Vita-Salute San Raffaele University)
Preziosa, Paolo (Vita-Salute San Raffaele University)
Arnold, Douglas Lorne (McGill University)
Barkhof, Frederik (University College London)
Harrison, Daniel M. (Baltimore VA Medical Center)
Maggi, Pietro (Centre Hospitalier Universitaire Vaudois)
Mainero, Caterina (Harvard Medical School)
Montalban, Xavier (Hospital Universitari Vall d'Hebron. Institut de Recerca)
Sechi, Elia (University of Sassari)
Weinshenker, Brian G. (University of Virginia)
Rocca, Maria A. (Vita-Salute San Raffaele University)
Universitat Autònoma de Barcelona

Data: 2022
Resum: 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.
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Llengua: Anglès
Document: Article ; recerca ; Versió publicada
Matèria: Multiple sclerosis ; Magnetic resonance imaging ; Diagnosis
Publicat a: Journal of Neurology, Vol. 270 (november 2022) , p. 1286-1299, ISSN 1432-1459

DOI: 10.1007/s00415-022-11488-y
PMID: 36427168


14 p, 1.1 MB

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 Registre creat el 2023-03-09, darrera modificació el 2023-07-23



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