The purpose of this study was to evaluate the distribution of glioma-related seizures and seizure control at the time of tumor diagnosis with respect to tumor histologic subtypes, tumor treatment and patient characteristics, and to compare seizure history preceding tumor diagnosis (or study enrollment) between glioma patients and healthy controls.

Neurosarcoidosis presents a diagnostic challenge in clinical settings, as it has no pathognomonic symptoms or signs and a wide range of differential diagnoses. The aim of this report is to present the pathological features of our group of patients, obtained through a systematic diagnostic approach. This retrospective cohort study enrolled all adult patients primarily diagnosed with neurosarcoidosis at the neurology department of a tertiary center in Sweden over a period of 30 years, from 1990 to 2021. We identified 90 patients, 54 with possible neurosarcoidosis and 36 with probable neurosarcoidosis. CNS biopsy revealed an alternative diagnosis for 24 patients, who were then excluded. The collected data from medical records included demographic and clinical characteristics, systemic and/or neurological isolated involvement, various laboratory tests, including cerebrospinal fluid (CSF), serum analysis, imaging studies (MRI, FDG-PET/CT, and HRCT), nerve conduction studies, electromyography, and pathology reports of central nervous system (CNS), and extra-neural tissue biopsies. Sixty-six patients were included in our cohort. The median age at onset of symptoms was 49 years, with a similar sex distribution. Cranial neuropathies (38%), motor deficit (32%), headache (16%), and pituitary dysfunction (12%) were the most common presenting features. CSF studies were abnormal in 77% of the patients, who showed lymphocytosis (57%), elevated protein (44%), oligoclonal bands (40%), elevated ACE (28%), and raised T lymphocyte CD4⁺/CD8⁺ ratios (13%). Strikingly, MRI showed that 17% of the patients presented with isolated pituitary gland lesions. FDG-PET/CT was performed in 22 patients (33%) and confirmed systemic sarcoidosis in 11. Despite our extensive workup, the final classification for our patients only allowed for a definite diagnosis in 14 patients; the remainder were classified as probable (32) or possible (20) neurosarcoidosis. Since 2007, the employment of a structured laboratory and imaging approach and the increasing number of CNS biopsies have facilitated and improved the process of correct attribution in patients with presumptive neurosarcoidosis, especially in patients with isolated neurological lesions. We highlight a higher frequency of pituitary lesions due to neurosarcoidosis than has been classically described. A detailed laboratory diagnostic workup is included.

The COVID-19 pandemic has brought challenges for healthcare management of patients with multiple sclerosis (MS). Concerns regarding vulnerability to infections and disease-modifying therapies (DMTs) and their complications have been raised. Recent published guidelines on the use of DMTs in relation to COVID-19 in MS patients have been diverse between countries with lack of evidence-based facts. In Sweden, there exists a particular interest in anti-CD20 therapy as a possible risk factor for severe COVID-19 due to the large number of rituximab-treated patients off-label in the country. Rapid responses from the Swedish MS Association (SMSS) and the Swedish MS registry (SMSreg) have resulted in national guidelines on DMT use for MS patients and implementation of a COVID-19 module in the SMSreg. Recently updated guidelines also included recommendations on COVID-19 vaccination with regard to the different DMTs. Social distancing policies forced implementation of telemedicine consultation to replace in-person consultations as part of regular MS health care. Patient-reported outcome measures (PROMs) in SMSreg have been useful in this respect. This paper reports our experiences on the progress of national MS health care during the COVID-19 pandemic, in addition to offering an overview of the present scientific context.

Standard radiological/topographical classifications of gliomas often do not reflect the real extension of the tumor within the lobar-cortical anatomy. Furthermore, these systems do not provide information on the relationship between tumor growth and the subcortical white matter architecture. We propose the use of an anatomically standardized grid system (the Brain-Grid) to merge serial morphological magnetic resonance imaging (MRI) scans with a representative tractographic atlas. Two illustrative cases are presented to show the potential advantages of this classification system. MRI scans of 39 patients (WHO grade II and III gliomas) were analyzed with a standardized grid created by intersecting longitudinal lines on the axial, sagittal, and coronal planes. The anatomical landmarks were chosen from an average brain, spatially normalized to the Montreal Neurological Institute (MNI) space and the Talairach space. Major white matter pathways were reconstructed with a deterministic tracking algorithm on a reference atlas and analyzed using the Brain-Grid system. In all, 48 brain grid voxels (areas defined by 3 coordinates, axial (A), coronal (C), sagittal (S) and numbers from 1 to 4) were delineated in each MRI sequence and on the tractographic atlas. The number of grid voxels infiltrated was consistent, also in the MNI space. The sub-cortical insula/basal ganglia (A3-C2-S2) and the fronto-insular region (A3-C2-S1) were most frequently involved. The inferior fronto-occipital fasciculus, anterior thalamic radiation, uncinate fasciculus, and external capsule were the most frequently associated pathways in both hemispheres. The Brain-Grid based classification system provides an accurate observational tool in all patients with suspected gliomas, based on the comparison of grid voxels on a morphological MRI and segmented white matter atlas. Important biological information on tumor kinetics including extension, speed, and preferential direction of progression can be observed and even predicted with this system. This novel classification can easily be applied to both prospective and retrospective cohorts of patients and increase our comprehension of glioma behavior.

Background: Immunoglobulin gamma (IgG) oligoclonal bands (OCB) in the cerebrospinal fluid (CSF) are absent in a small group of multiple sclerosis (MS) patients. According to previous research, OCB-negative MS patients differ genetically but not clinically from OCB-positive MS patients. However, whether OCB-negative MS is a unique immunological and clinical entity remains unclear. The absence of OCB poses a significant challenge in diagnosing MS. (1) Objective: The objective of this study was twofold: (1) to determine the prevalence of OCB-negative MS patients in the Uppsala region, and (2) to assess the frequency of misdiagnosis in this patient group. (2) Methods: We conducted a retrospective study using data from the Swedish MS registry (SMSreg) covering 83% of prevalent MS cases up to 20 June 2020 to identify all MS patients in the Uppsala region. Subsequently, we collected relevant information from the medical records of all OCB-negative MS cases, including age of onset, gender, presenting symptoms, MRI features, phenotype, Expanded Disability Status Scale (EDSS) scores, and disease-modifying therapies (DMTs). (3) Results: Out of 759 MS patients identified, 69 had an OCB-negative MS diagnosis. Upon re-evaluation, 46 patients had a typical history and MRI findings of MS, while 23 had unusual clinical and/or radiologic features. An alternative diagnosis was established for the latter group, confirming the incorrectness of the initial MS diagnosis. The average EDSS score was 2.0 points higher in the MS group than in the non-MS group (p = 0.001). The overall misdiagnosis rate in the cohort was 33%, with 22% of misdiagnosed patients having received DMTs. (4) Conclusions: Our results confirm that the absence of OCB in the CSF should raise suspicion of possible misdiagnosis in MS patients and prompt a diagnostic reassessment.