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Background and objectives: Capillary hemangiomas are rare, benign vascular tumors that mainly affect the skin and soft tissue, with scarce appearance within the nasal cavities and paranasal sinuses. Materials and methods: We present a case report of capillary hemangioma of the sphenoid sinus and a review of the literature in the last ten years. Results: Clinical and endoscopic examination of the nose, radiologic assessment and particular histologic features contribute to the correct diagnosis of capillary hemangioma of the nose and paranasal sinuses. Conclusions: Transnasal endoscopic resection of capillary hemangioma located in the nose and paranasal sinuses is a valuable treatment method with good outcomes.

Background and Objectives: In this critical review, we explore the potential use of MRI measurements as prognostic biomarkers in multiple sclerosis (MS) patients, for both conventional measurements and more novel techniques such as magnetization transfer, diffusion tensor, and proton spectroscopy MRI. Materials and Methods: All authors individually and comprehensively reviewed each of the aspects listed below in PubMed, Medline, and Google Scholar. Results: There are numerous MRI metrics that have been proven by clinical studies to hold important prognostic value for MS patients, most of which can be readily obtained from standard 1.5T MRI scans. Conclusions: While some of these parameters have passed the test of time and seem to be associated with a reliable predictive power, some are still better interpreted with caution. We hope this will serve as a reminder of how vast a resource we have on our hands in this versatile tool—it is up to us to make use of it.

(1) Background: Early disability accrual in RRMS patients is frequent and is associated with worse long-term prognosis. Correctly identifying the patients that present a high risk of early disability progression is of utmost importance, and may be aided by the use of predictive biomarkers. (2) Methods: We performed a prospective cohort study that included newly diagnosed RRMS patients, with a minimum follow-up period of one year. Biomarker samples were collected at baseline, 3-, 6- and 12-month follow-ups. Disability progression was measured using the EDSS-plus score. (3) Results: A logistic regression model based on baseline and 6-month follow-up sNfL z-scores, RNFL and GCL-IPL thickness and BREMSO score was statistically significant, with χ2(4) = 19.542, p < 0.0001, R2 = 0.791. The model correctly classified 89.1% of cases, with a sensitivity of 80%, a specificity of 93.5%, a positive predictive value of 85.7% and a negative predictive value of 90.62%. (4) Conclusions: Serum biomarkers (adjusted sNfL z-scores at baseline and 6 months) combined with OCT metrics (RNFL and GCL-IPL layer thickness) and the clinical score BREMSO can accurately predict early disability progression using the EDSS-plus score for newly diagnosed RRMS patients.

(1) Background: Cognitive impairment (CI) begins early in the evolution of multiple sclerosis (MS) but may only become obvious in the later stages of the disease. Little data is available regarding predictive biomarkers for early, active cognitive decline in relapse remitting MS (RRMS) patients. (2) Methods: 50 RRMS patients in the first 6 months following diagnosis were included. The minimum follow-up was one year. Biomarker samples were collected at baseline, 3-, 6- and 12-month follow-up. Cognitive performance was assessed at baseline and 12-month follow-up; (3) Results: Statistically significant differences were found for patients undergoing active cognitive decline for sNfL z-scores at baseline and 3 months, CSF NfL baseline values, CSF Aβ42 and the Bremso score as well. The logistic regression model based on these 5 variables was statistically significant, χ2(4) = 22.335, p < 0.0001, R2 = 0.671, with a sensitivity of 57.1%, specificity of 97.4%, a positive predictive value of 80% and a negative predictive value of 92.6%. (4) Conclusions: Our study shows that serum biomarkers (adjusted sNfL z-scores at baseline and 3 months) and CSF biomarkers (CSF NfL baseline values, CSF Aβ42), combined with a clinical score (BREMSO), can accurately predict an early cognitive decline for RRMS patients at the moment of diagnosis.

Systemic lupus erythematosus (SLE) is a potentially fatal autoimmune disease that remains frequently underdiagnosed due to the heterogeneity of its symptoms. Lack of specific features at the initial presentation often results in delayed diagnosis. We present the case of a 58 years old SLE patient with renal, neurological, hematological and articular involvement and associated antiphospholipid syndrome, whose first manifestation of the disease occurred 20 years before the diagnosis could be made. SLE is a disease with a wide array of symptoms. As such, unless a strong index of suspicion is maintained, the disease diagnosis and specific treatment may be easily delayed.

The co-occurrence of epilepsy and psychiatric disorders is long known. The scope of this systematic review was to describe the prevalence of specific interictal psychiatric disorders in patients with epilepsy and to assess possible associations between psychiatric disorders and other sociodemographic or clinical characteristics of epilepsy patients. MEDLINE and ScienceDirect were searched for original articles published between January 2015 and February 2021 describing studies that involved epilepsy patients with psychiatric comorbidities. We identified 13 studies with heterogenous methodology and reporting. Prevalence of any psychiatric disorder observed was up to 51% in idiopathic generalized epilepsy (IGE), up to 43.1% in temporal lobe epilepsy (TLE) and up to 43.3% in a general population of patients with epilepsy. The most frequent psychiatric comorbidities associated with epilepsy included mood/affective disorders (up to 40% for lifetime occurrence and up to 23% for current occurrence), anxiety disorders (up to 30.8% for lifetime occurrence and up to 15.6% for current occurrence), personality disorders [up to 11% in juvenile myoclonic epilepsy (JME)] and psychotic disorders (up to 4% of epilepsy patients). In focal epilepsy, depressive disorders might be associated with specific brain imaging findings and with cognitive impairment. Anxiety disorders are associated with a higher frequency of generalized tonico-clonic seizure (GTCS) and with worse social functioning. Psychotic disorders were found to be associated with longer duration of epilepsy. Childhood maltreatment experiences were found to be a powerful predictor for the occurrence of psychiatric comorbidities in epilepsy patients, while data regarding association of other epilepsy characteristics with the presence of psychiatric disorders is conflicting.