Eur J Neurol
August 2025
Background: 7 Tesla (7 T) magnetic resonance imaging (MRI) offers higher spatial resolution and signal-to-noise ratio, enhancing visualization of multiple sclerosis (MS) lesions, including cortical and deep gray matter lesions. It improves detection of MS biomarkers like paramagnetic rim lesions (PRLs) and central vein sign (CVS). Costs have impacted its adoption and experience in clinical practice.
View Article and Find Full Text PDFObjective: To investigate whether the VIAADISC score predicts disease reactivation in relapsing multiple sclerosis (RMS) after de-escalation/discontinuation of disease-modifying-therapy (DMT) METHODS: We included RMS patients who i) received any DMT other than interferon-beta or glatiramer-acetate ≥12 months, ii) de-escalated/discontinued DMT, iii) had MRI before de-escalation/discontinuation, and iv) had ≥12 months of follow-up. VIAADISC score (0-6; age <45/45-54/≥55 = 2/1/0 points, MRI activity = 2 points, duration without clinical disease activity <4/4-8/>8 years = 2/1/0 points) was calculated. The primary endpoint was disease reactivation (relapse and/or disability progression).
View Article and Find Full Text PDFNeurol Neuroimmunol Neuroinflamm
September 2025
Background And Objectives: In multiple sclerosis (MS), neurodegeneration results from the interplay between disease-specific pathology and normal aging. Conventional MRI captures morphologic changes in neurodegeneration, while quantitative MRI (qMRI) provides biophysical measures of microstructural alterations. Combining these modalities may reveal how aging and pathology interact and contribute to disability progression in people with MS.
View Article and Find Full Text PDFIntroduction Following the coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), post-COVID-19 syndrome (PCS) has emerged as a major health concern, affecting approximately 3.0-11.7% of infected individuals.
View Article and Find Full Text PDFAnn Clin Transl Neurol
August 2025
Objective: Prognostication of disease course and prediction of treatment response in multiple sclerosis is an unmet need. We compared the performance of serum neurofilament light chain Z scores (age- and BMI-adjusted) with absolute concentrations for the prediction of response to disease-modifying therapy.
Methods: Observational cohort study including the first serum sample of participants after the start of fingolimod therapy.