In conventional non-quantitative magnetic resonance imaging, image contrast is consistent within images, but absolute intensity can vary arbitrarily between scans. For quantitative analysis of intensity data, images are typically normalized to a consistent reference. The most convenient reference is a tissue that is always present in the image, and is unlikely to be affected by pathological processes. In multiple sclerosis neuroimaging, both the white and gray matter are affected, so normalization techniques that depend on brain tissue may introduce bias or remove biological changes of interest. We introduce a complementary procedure, image "calibration," the goal of which is to remove technical intensity artifacts while preserving biological differences. We demonstrate a deep learning approach to segmenting fat from within the orbit of the eyes on T1-weighted images at 1.5 and 3 ​T to use as a reference tissue, and use it to calibrate 1018 scans from 256 participants in a study of pediatric-onset multiple sclerosis. The machine segmentations agreed with the adjudicating expert (DF) segmentations better than did those of other expert humans, and calibration resulted in better agreement with semi-quantitative magnetization transfer ratio imaging than did normalization with the WhiteStripe1 algorithm. We suggest that our method addresses two key priorities in the field: (1) it provides a robust option for serial calibration of conventional scans, allowing comparison of disease change in persons imaged at multiple time points in their disease; and (ii) the technique is fast, as the deep learning segmentation takes only 0.5 ​s/scan, which is feasible for both large and small datasets.

More than half of all patients with multiple sclerosis (MS) in the Kingdom of Saudi Arabia (KSA) are women of childbearing age. Raising a family is an important life goal for women in our region of the world. However, fears and misconceptions about the clinical course of relapsing-remitting MS (RRMS) and the effects of disease-modifying drugs (DMDs) on the foetus have led many women to reduce their expectations of raising a family, sometimes even to the point of avoiding pregnancy altogether. The increase in the number of DMDs available to manage RRMS and recent studies on their effects in pregnancy have broadened management options for these women. Interferon beta now has an indication in Europe for use during pregnancy (according to clinical need) and can be used during breastfeeding. Glatiramer acetate is a further possible option for women with lower levels of RRMS disease activity who are, or about to become, pregnant; natalizumab may be used up to 30 weeks in patients with higher levels of disease activity. Where possible, physicians need to support and encourage women to pursue their dream of a fulfilling family life, supported where necessary by active interventions for RRMS that are increasingly evidence based.

The very fact that multiple sclerosis (MS) is incurable and necessitates life-long care makes it one of the most burdensome illnesses. The aim of this study was to compare the cost-effectiveness of orally administered medications (e.g., fingolimod, dimethyl fumarate, and teriflunomide), interferon (IFN)-based therapy, and monoclonal antibodies (MABs) (e.g., natalizumab and rituximab) in the management of relapsing-remitting multiple sclerosis (RRMS) in Saudi Arabia using real-world data. This was a retrospective cohort study in which patients with RRMS aged ≥18 years without any other chronic health conditions with non-missing data for at least 12 months were recruited from the electronic health records of a university-affiliated tertiary care center. Multiple logistic regressions controlling for age, sex, and duration of therapy were conducted to examine the odds of disability progression, clinical relapse, MRI lesions, and composite outcome (e.g., relapse, lesion development on MRI, disability progression). The number of patients who met the inclusion criteria and were included in the analysis was 146. Most of the patients were female (70.51%) and young (e.g., ≤35 years of age). There were 40 patients on the orally administered agents (e.g., dimethyl fumarate, teriflunomide, fingolimod), 66 patients were on IFN-based therapy (e.g., Rebif^®), and 40 patients were on monoclonal antibodies (e.g., rituximab and natalizumab). Patients on MABs had lower odds of the composite outcome (OR = 0.17 (95% CI: 0.068–0.428)). The use of orally administered agents was dominant (e.g., more effective and less costly), with average annual cost savings of USD −4336.65 (95% CI: −5207.89–−3903.32) and 8.11% higher rate of effectiveness (95% CI: −14.81–18.07) when compared with Rebif^®. With regard to the use of MABs in comparison to Rebif^®, MABs were associated with higher cost but a better rate of effectiveness, with an average additional annual cost of USD 1381.54 (95% CI: 421.31–3621.06) and 43.11% higher rate of effectiveness (95% CI: 30.38–61.15) when compared with Rebif^®. In addition, the use of MABs was associated with higher cost but a better rate of effectiveness, with an average additional annual cost of USD 5717.88 (95% CI: 4970.75–8272.66) and 35% higher rate of effectiveness (95% CI: 10.0–42.50) when compared with orally administered agents. The use of MABs in the management of RRMS among the young patient population has shown to be the most effective therapy in comparison to both IFN-based therapy (e.g., Rebif^®) and orally administered agents, but with higher cost. Orally administered agents resulted in better outcomes and lower costs in comparison to IFN-based therapy. Future studies should further examine the cost-effectiveness of different disease-modifying therapies for the management of RRMS using more robust study designs.

The outbreak of coronavirus disease 2019 (COVID-19) has rapidly spread and developed as a pandemic threatening global health. Patients with multiple sclerosis (MS)–an autoimmune demyelinating inflammatory disease of the central nervous system (CNS)–are predominantly treated with immunomodulatory/immunosuppressive disease-modifying therapies (DMTs), which can increase the risk of infection. Therefore, there is concern that these patients may have a higher risk of COVID-19. In response to growing concerns of neurologists and patients, this study aimed to determine the prevalence, severity, and possible complications of COVID-19 infection in patients with MS in Saudi Arabia (SA). In this prospective cohort study, demographic and clinical data were obtained from patients residing in SA with MS who had a positive result for COVID-19 per reverse transcription-polymerase chain reaction test or viral gene sequencing, using respiratory or plasma samples. Comparison of COVID-19 severity groups was performed using one-way ANOVA or Kruskal-Wallis test for numerical variables and Chi-squared test for categorical variables. Seventy patients with MS and COVID-19 (71% female) were included in this analysis. Of the 53 (75.7%) patients receiving a DMT at the time of COVID-19 infection, the most frequently used DMTs were fingolimod (25%) and interferon-beta (25%). Nine (13%) patients had MS relapse and were treated with intravenous methylprednisolone in the four weeks before COVID-19 infection. The most common symptoms at the peak of COVID-19 infection were fever (46%), fatigue (37%), and headache (36%). Symptoms lasted for a mean duration of 8.7 days; all symptomatic patients recovered and no deaths were reported. COVID-19 severity was categorized in three groups: asymptomatic (n = 12), mild–not requiring hospitalization (n = 48), and requiring hospitalization (n = 10; two of whom were admitted to the intensive care unit [ICU]). Between the three groups, comparison of age, body mass index , Expanded Disability Severity Score , MS disease duration, and DMT use at the time of infection showed no significant differences. A higher percentage of patients who were admitted to hospital or the ICU (40%; p = 0.026) presented with an MS relapse within the prior four weeks compared with those who were asymptomatic or had a mild infection (both 8.3%). These findings present a reassuring picture regarding COVID-19 infection in patients with MS. However, patients with MS who have had a relapse in the preceding four weeks (requiring glucocorticoid treatment) may have an increased risk of severe COVID-19.