Multiparametric MRI dataset for susceptibility-based radiomic feature extraction and analysis.

Multiple sclerosis (MS) is a progressive demyelinating disease impacting the central nervous system. Conventional Magnetic Resonance Imaging (MRI) techniques (e.g., T2w images) help diagnose MS, although they sometimes reveal non-specific lesions. Quantitative MRI techniques are capable of quantifying imaging biomarkers in vivo, offering the potential to identify specific signs related to pre-clinical inflammation. Among those techniques, Quantitative Susceptibility Mapping (QSM) is particularly useful for studying processes that influence the magnetic properties of brain tissue, such as alterations in myelin concentration. Because of its intrinsic quantitative nature, it is particularly well-suited to be analyzed through radiomics, including techniques that extract a high number of complex and multi-dimensional features from radiological images. The dataset presented in this work provides information about normal-appearing white matter (NAWM) in a cohort of MS patients and healthy controls. It includes QSM-based radiomic features from NAWM and its tracts, and MR sequences necessary to implement the pipeline: T1w, T2w, QSM, DWI. The workflow is outlined in this article, along with an application showing feature reliability assessment.

Difference in safety and humoral response to mRNA SARS-CoV-2 vaccines in patients with autoimmune neurological disorders: the ANCOVAX study.

BACKGROUND: Assessing the safety of SARS-CoV-2 mRNA vaccines and the effect of immunotherapies on the seroconversion rate in patients with autoimmune neurological conditions (ANC) is relevant to clinical practice. Our aim was to assess the antibody response to and safety of SARS-CoV-2 mRNA vaccines in ANC. METHODS: This longitudinal study included ANC patients vaccinated with two doses of BNT162b2 or mRNA-1273 between March and August 2021. Side effects were assessed 2-10 days after each dose. Neurological status and anti-spike receptor binding domain antibody levels were evaluated before vaccination and 4 weeks after the second dose. Healthcare-workers served as controls for antibody levels. RESULTS: We included 300 ANC patients (median age 52, IQR 40-65), and 347 healthcare-workers (median age 45, IQR 34-54). mRNA-1273 vaccine was associated with an increased risk of both local (OR 2.52 95% CI 1.45-4.39, p = 0.001) and systemic reactions (OR 2.51% CI 1.49-4.23, p = 0.001). The incidence of relapse was not different before and after vaccine (Incidence rate ratio 0.72, 95% CI 0.29-1.83). Anti-SARS-CoV-2 IgG were detected in 268 (89.9%) patients and in all controls (p < 0.0001). BNT162b2 vaccine (OR 8.84 95% CI 2.32-33.65, p = 0.001), anti-CD20 mAb (OR 0.004 95% CI 0.0007-0.026, p < 0.0001) and fingolimod (OR 0.036 95% CI 0.002-0.628, p = 0·023) were associated with an increased risk of not developing anti-SARS-CoV-2 IgG. CONCLUSION: SARS-CoV-2 mRNA vaccines were safe in a large group of ANC patients. Anti-CD20 and fingolimod treatment, as well as vaccination with the BNT162b2 vaccine, led to a reduced humoral response. These findings could inform vaccine policies in ANC patients undergoing immunotherapy.

Hyperacute reversible encephalopathy related to cytokine storm following COVID-19 vaccine.

We describe the first case of hyperacute reversible encephalopathy following COVID-19 vaccination. A patient presented with acute onset encephalopathy, mainly characterized by agitation and confusion, rapidly responsive to high dosage steroid therapy and complete remission within 3 days from onset. The clinical manifestation was related with systemic and CSF cytokine hyperproduction, responsive to steroid therapy. Although the occurrence of encephalopathy after vaccination may be just a casual temporal association, we speculate that the cytokine-storm could be the result of an excessive innate immune response against the vaccine, in a predisposed patient susceptible to autoimmunity.