A double‐blind, randomized, placebo‐controlled phase 2 trial evaluating the selective dihydroorotate dehydrogenase inhibitor vidofludimus calcium in relapsing‐remitting multiple sclerosis

The Segmentation is a fundamental technique used in image processing to extract suspicious regions from a given image. Quantitative assessment of Magnetic Resonance Imaging (MRI) lesion load of patients with multiple sclerosis (MS) is the most objective approach for a better understanding of the history of the pathology, either natural or modified by therapies. Recently, numerous methods have been introduced for the segmentation of MS lesions in MR images. In this work, we propose to segment the images based on a constrained Gaussian Mixture Model (GMM) and using Genetic Algorithm to determine the optimal parameters of this highly non-linear model. We use this method for automatic segmentation of MS lesions in fluid attenuated inversion recovery (FLAIR) of magnetic resonance images. Moreover, a preprocessing step is also performed to suppress artifacts and to remove the unwanted skull portions from brain MRI. The proposed method has been tested on real patients' MR images. The experimental results show that the proposed method can effectively segment MS lesions in the brain MR images.

Neurofilament light chain (NfL) is a promising biomarker for monitoring disease activity and treatment response in multiple sclerosis (MS). This meta-regression assesses the relationship between treatment effects on serum/plasma NfL (s/pNfL) and clinical and radiological endpoints in randomized controlled trials (RCTs). A systematic PubMed search identified RCTs in MS (1999-2023) with ⩾24 months' duration and s/pNfL data. Extracted outcomes included treatment effects on s/pNfL, annualized relapse rate (ARR), confirmed disability worsening (CDW), magnetic resonance imaging (MRI) new/enlarging T2 lesions, and percentage brain volume change (PBVC). We evaluated the association of treatment effect on the selected outcomes at the trial level by a meta-regression, weighted by trial size and duration. Fifteen RCTs (n = 6814) were included, nine in relapsing MS (RMS, n = 5221), and six in progressive MS (PMS, n = 1593). Treatment effects on s/pNfL showed a moderate association with treatment effects on MRI new/enlarging T2 lesions (R2 = 0.42, p = 0.01), ARR (R2= 0.33, p = 0.03) and CDW (R2= 0.30, p = 0.04), but not with PBVC. In RMS-only trials, association with ARR (R2= 0.45, p = 0.05) and CDW (R2= 0.50, p = 0.03) was more pronounced. In MS, treatment effects on s/pNfL are moderately associated with therapeutic effects on ARR, MRI new/enlarging T2 lesions, and CDW, whereas no consistent association was observed with PBVC.

Serial magnetic resonance imaging (MRI) detects substantial subclinical disease activity in multiple sclerosis (MS) and is presently included in most treatment trials as an objective outcome measure. Our current knowledge of the role of MRI in MS treatment trials is derived from very limited patient studies, and the aim of this paper is to identify strategies to optimize the use of MRI in monitoring disease activity in treatment trials. The number of active lesions revealed by MRI can be used as the primary outcome measure in exploratory treatment trials. With monthly scanning, the majority of active lesions will be seen by virtue of a limited number of new areas of gadolinium enhancement. The contrast between enhancing lesions and background could be increased by: (1) using higher doses of gadolinium, (2) suppressing the background signal with magnetization transfer, (3) delayed scanning, or (4) a combination of these. Following a systematic comparison of those approaches, the effect on the sensitivity in detecting active lesions should be analysed with reference to the power of treatment trials. We present preliminary results showing marked agreement between observers in reporting enhancing lesions; however, with new acquisition strategies, the observer variation should be re-established in a multicentre fashion. In definitive trials, the increase in total lesion load serves as a secondary outcome measure. Since the majority of lesions making up the total lesion load are inactive during the study, spatial resolution should be maximized in order to preclude any artificial changes in lesion load to be superimposed (noise) upon the relatively small actual change (information). Reduction in measurement error can be attempted by improved acquisition techniques with increased lesion to background contrast. More importantly, improvement in quantitation techniques is warranted. With a 6% coefficient of variation in measuring a baseline lesion load, we calculate the standard error of the mean yearly increase in T2 lesion load (typically 10% in untreated patients) in a treatment arm of 124 patients to be 7.5%. A comparison of several quantitation techniques should be performed in a multicentre longitudinal fashion in order to include variation caused by both scanner and segmentation technique, in addition to biological activity.

Objective: Multiple sclerosis primarily affects young adults. The prevalence is increasing worldwide, although the reason for this rise is not fully understood. The disease usually progresses with attacks. The diagnosis of disease activation is made clinically and by magnetic resonance imaging. Magnetic resonance imaging is an expensive and time-consuming examination. It is obvious that there is a need for an inexpensive and fast-resulting test that will aid in the diagnosis of active patients. Data from a complete blood count may be one of them.This study aimed to examine the association between disease activity in multiple sclerosis patients and the ratios of neutrophils to lymphocytes, platelets to lymphocytes, eosinophils to lymphocytes, and monocytes to lymphocytes. Material and Methods: One hundred and twenty patients diagnosed with multiple sclerosis and 110 healthy controls were enrolled. Demographic characteristics such as age, sex, and duration of disease, magnetic resonance lesion characteristics, and Expanded Disability Symptom Scale results were recorded. Results: The mean neutrophil-to-lymphocyte ratio in active patients was significantly higher compared to both the inactive disease group and the control group (p<0.001). Similarly, the mean monocyte-to-lymphocyte ratio in active patients was significantly also higher compared to the control group (p=0.002). The active and inactive patients’ platelet/lymphocyte ratio values were both significantly higher than those of the control group (p<0.001). Conclusion: This study suggests that the neutrophil/lymphocyte, platelet/lymphocyte and monocyte/lymphocyte ratios are associated with the activation of multiple sclerosis. More extensive studies with larger patient populations and healthy controls are now needed to clarify the association between serum neutrophil/lymphocyte, platelet/lymphocyte and monocyte/lymphocyte ratios and disease activity in multiple sclerosis.

Disease activity in multiple sclerosis (MS) has classically been defined by the occurrence of new neurological symptoms and the rate of relapses. Definition of disease activity has become more refined with the use of clinical markers, evaluating ambulation, dexterity, and cognition. Magnetic resonance imaging (MRI) has become an important tool in the investigation of disease activity. Number of lesions as well as brain atrophy have been used as surrogate outcome markers in several clinical trials, for which a reduction in these measures is appreciated in most treatment studies. With the increasing availability of new medications, the overall goal is to minimize inflammation to decrease relapse rate and ultimately prevent long-term disability. The aim of this review is to give an overview on commonly used clinical and imaging markers to monitor disease activity in MS, with emphasis on their use in clinical studies, and to give a recommendation on how to utilize these measures in clinical practice for the appropriate assessment of therapeutic response.

Detection of small lesions in magnetic resonance imaging (MRI) images is one of the most challenging tasks. Compared with detection in natural images, small lesion detection in MRI images faces two major problems: First, small lesions only occupy a small fraction of voxels within an image, yielding insufficient features and information for them to be distinguished from the surrounding tissues. Second, an accurate outline of these small lesions manually is time-consuming and inefficient even for medical experts in pathology. Hence, existing methods cannot accurately detect lesions with such a limited amount of information. To solve these problems, we propose a novel multi-task convolutional neural network (CNN), which simultaneously performs regression of lesion number and detection of lesion location. Both lesion number and location can be obtained through point annotations, which is much easier and efficient than a full segmentation of lesion manually. We use an encoder-decoder structure that outputs a distance map of each pixel to the nearest lesion centers. Additionally, a regression branch is added after the encoder to learn the counting of lesion numbers, thus providing an extra regularization. Note that these two tasks share the same encoder weights. We demonstrate that our model enables the counting and locating of extremely small lesions within 3–5 voxels (300 × 300 voxels per image) with a recall of 72.66% on a large mouse brain MRI image dataset (more than 1000 images), and outperforms other methods.

Chronic stress amplifies multidimensional disease activity in multiple sclerosis patients: A year-long within-person analysis.

Advances in serum proteomics have provided more precise tools for the characterization of multiple sclerosis (MS) and enabled enhanced clinical management of the disease. The multivariate proteomic Multiple Sclerosis Disease Activity (MSDA) test has been analytically and clinically validated. This is a single-center retrospective case series. Four women with MS were monitored between 2022 and 2023 with up to 2 MSDA time points. Their full clinical histories and exams, along with treatment and MRI changes, were collected with the MSDA tests. Patients' baseline and follow-up MSDA scores were consistent with disease activity, treatment response, and disease stability. We provide a real-world case series to show that MSDA could help to determine MS disease activity at baseline and throughout the disease course. MSDA could help to differentiate clinically stable vs active patients to monitor DMT treatment response.

Objective: To assess changes in disease activity in Multiple Sclerosis (MS) patients on various disease-modifying-drugs, as well as immunogenicity, safety and clinical tolerability following combined tetanus- and diphtheria-vaccination. Methods: We conducted a prospective, multicentre, non-randomised real-world observational study at specialised outpatient MS care centres in Germany. We enrolled multiple sclerosis patients receiving a combined tetanus- and diphtheria-vaccination who had a stable MS-treatment regimen for at least six months and had an indication for this vaccination. Serum samples were obtained before and four weeks after vaccination for specific antibody response. Antibody concentrations against vaccine antigens were measured in duplicate via ELISA. Subjects were followed for one year after immunisation. MS disease activity (EDSS and relapse rates) was evaluated at follow-up visits. Local and systemic adverse events were registered four weeks after vaccination. Results: In total, 72 MS patients received tetanus and diphtheria vaccination. The annualised relapse rates in the year after vaccination were comparable to the year before vaccination (0.39 vs. 0.37). During the study period, the EDSS score did not change significantly. The score was 2.0 and 2.2 in the two years prior to vaccination and 2.5 in the year following vaccination. No subjects experienced severe adverse events. However, 14 (19.4%) had local adverse events, and 10 (13.9%) had systemic reactions. Following vaccination, all subjects had protective antibody titres against tetanus- and diphtheria-toxoid. Geometric mean antibody titres of tetanus toxoid antibodies increased from 0.64 IU/mL to 2.23 IU/mL (p < 0.0001) and of diphtheria toxoid antibodies from 0.1 IU/mL to 0.45 IU/mL (p < 0.0001). Conclusions: Tetanus- and diphtheria vaccination proved to be safe and effective in MS patients in a real-world situation.

To identify factors associated with a high and low risk of developing multiple sclerosis after an initial episode of optic neuritis. Three hundred eighty-eight patients who experienced acute optic neuritis between July 1, 1988, and June 30, 1991, were followed up prospectively for the development of multiple sclerosis. Consenting patients were reassessed after 10 to 13 years. The 10-year risk of multiple sclerosis was 38% (95% confidence interval, 33%-43%). Patients (160) who had 1 or more typical lesions on the baseline magnetic resonance imaging (MRI) scan of the brain had a 56% risk; those with no lesions (191) had a 22% risk (P<.001, log rank test). Among the patients who had no lesions on MRI, male gender and optic disc swelling were associated with a lower risk of multiple sclerosis, as was the presence of the following atypical features for optic neuritis: no light perception vision; absence of pain; and ophthalmoscopic findings of severe optic disc edema, peripapillary hemorrhages, or retinal exudates. The 10-year risk of multiple sclerosis following an initial episode of acute optic neuritis is significantly higher if there is a single brain MRI lesion; higher numbers of lesions do not appreciably increase that risk. However, even when brain lesions are seen on MRI, more than 40% of the patients will not develop clinical multiple sclerosis after 10 years. In the absence of MRI lesions, certain demographic and clinical features seem to predict a very low likelihood of developing multiple sclerosis. This natural history information is a critical input for estimating a patient's 10-year multiple sclerosis risk and for weighing the benefit of initiating prophylactic treatment at the time of optic neuritis or other initial demyelinating events in the central nervous system.

Peroxynitrite was hypothesized to be involved in the pathogenesis of multiple sclerosis (MS) through its various neurotoxic effects. Uric acid (UA) was shown to be a strong peroxynitrite scavenger. We analyzed cerebrospinal fluid (CSF) and serum UA concentrations in 30 MS patients and 20 controls with non-inflammatory neurological diseases (NIND) and correlated these findings with demographic and clinical characteristics of MS patients. Disease activity was assessed by brain magnetic resonance imaging (MRI) and the CSF/serum albumin quotient as an indicator of the state of blood-brain-barrier (BBB). Serum UA concentrations were found to be significantly lower in MS patients compared with controls (p=0.019). CSF UA concentrations were lower in MS patients as compared to controls, as well as in patients with active MS (clinical and/or MRI activity) in comparison to patients with inactive MS or controls, but these differences were not statistically significant. Significant correlation was found between CSF and serum UA concentrations (p=0.016) in MS patients, but not in controls; and between CSF UA concentrations and the CSF/serum albumin quotient in MS patients (p=0.043), but not in controls. Our results support the significance of UA in the pathogenesis of MS. Decreased serum UA concentrations in MS patients might be due to both intrinsically reduced antioxidant capacity and increased UA consumption in MS. CSF UA concentrations may not be a reliable marker of disease activity in MS since its concentration is dependent on leakage of UA molecules from serum through the damaged BBB and the balance between consumption/production within the central nervous system (CNS).

Subclinical multiple sclerosis (MS) has been identified incidentally at autopsy; apparently unaffected individuals with an affected twin have demonstrated magnetic resonance imaging (MRI) changes consistent with MS, and 'MRI relapses' are several times more common than clinical relapses. A 39-year-old, right-handed man underwent MRI and PET scanning in 1986 as a 'normal' control in a Parkinson's disease study, where his father was the proband. MRI indicated multiple areas of abnormal signal intensity in a periventricular and grey-white matter junction distribution. Repeated clinical evaluations over the next 10 years were unchanged until 1996, when he complained of progressive weakness of the right foot and clumsiness in the right hand. MRI now indicated a further area of high signal intensity in the right posterior cord at the level of C5/C6. There was mild pyramidal distribution weakness in the right leg with an extensor plantar response on the same side. Over the next five years there has been mild progression in weakness and fatigue and intermittent Lhermitte's phenomenon. At no stage has there been a history of relapse, cerebrospinal fluid examination was normal and evoked responses (visual and somatosensory) are normal. This case demonstrates the phenomenon of subclinical MS, unusually supported by prolonged clinical and MRI follow-up. The patient eventually became symptomatic nine years after MRI diagnosis and is following a primary progressive course. Although MRI is known to be sensitive in identifying subclinical 'attacks', the pattern illustrated here may actually be quite typical of primary progressive MS and is compatible with the later onset seen in this subgroup of patients.

In vivo characterization of brain lesion types in multiple sclerosis (MS) has been an ongoing challenge. Based on verified texture analysis measures from clinical magnetic resonance imaging (MRI), this study aimed to develop a method to identify two extremes of brain MS lesions that were approximately severely demyelinated (sDEM) and highly remyelinated (hREM), and compare them in terms of common clinical variables. Texture analysis used an optimized gray-level co-occurrence matrix (GLCM) method based on FLAIR MRI from 200 relapsing-remitting MS participants. Two top-performing metrics were calculated: texture contrast and dissimilarity. Lesion identification applied a percentile approach according to texture values calculated: ≤ 25 percentile for hREM and ≥75 percentile for sDEM. The sDEM had a greater total normalized volume yet smaller average size, and worse MRI texture than hREM. In lesion distribution mapping, the two lesion types appeared to overlap largely in location and were present the most in the corpus callosum and periventricular regions. Further, in sDEM, the normalized volume was greater and in hREM, the average size was smaller in men than women. There were no other significant results in clinical variable-associated analyses. Percentile statistics of competitive MRI texture measures may be a promising method for probing select types of brain MS lesion pathology. Associated findings can provide another useful dimension for improved measurement and monitoring of disease activity in MS. The different characteristics of sDEM and hREM between men and women likely adds new information to the literature, deserving further confirmation.

Background This study aimed to clarify the need for disease-modifying drug (DMD) treatment in elderly patients with multiple sclerosis (MS) aged 50 years or older. MS is an autoimmune, demyelinating disease of the central nervous system that predominantly affects young women. Various DMDs are effective in preventing relapses and slowing the progression of disability in patients with MS. Although disease activity in MS is believed to decrease with aging, a consensus on the appropriate DMD treatment for elderly patients with MS is lacking. Methodology This study included elderly patients with MS (>50 years old). We compared the occurrence of relapses, worsening of disability, and conversion to secondary progressive MS (SPMS) between patients with DMD treatment and those without. Logistic regression analysis was performed to determine the predictors of these outcomes. Confounding factors were adjusted using propensity scores. Results From January 1991 to October 2022, 76 elderly patients with MS were included. The mean age at the last visit was 57.4 ± 6.3 years, with 51 patients being female. The mean age of onset of MS was 37.1 ± 10.1 years. Fifty-four patients were included in the DMD treatment group. The overall relapse rate was 38% (33% and 48% in the DMD treatment and untreated groups, respectively). No significant differences in relapse rates (p = 0.72) or in the Expanded Disability Status Scale (EDSS) scores were identified between the two groups. Kaplan-Meier curves showed no differences in the time to first relapse within five years between the two groups. Additionally, no significant predictors of relapse were identified. Among 61 patients with relapsing-remitting MS, 25% converted to SPMS during the observation period. Logistic regression analysis showed that older age at the final visit and the presence of brainstem lesions at the age of 50 years were associated with a higher rate of transition to SPMS. Conclusions In the present study, no significant difference was found in the rate of relapse, disability progression, and conversion to SPMS between the DMD treatment and untreated groups in elderly patients with MS. Therefore, in patients without long-term relapse, no poor prognostic functional factorsor predictors of conversion to SPMS, discontinuation of DMDs may beconsidered. In addition, the presence of brainstem lesions at 50 years of age may predict the conversion to SPMS. Thus, the continuation of DMD or conversion to an appropriate DMD should be considered in patients with brainstem lesions at 50 years of age.

This study assessed whether dysfunction of the blood-brain barrier is an obligatory early event in lesion formation in multiple sclerosis. Dual-echo and T1-weighted magnetic resonance imaging after the injection of a triple dose (0.3 mmol/kg) of gadolinium-DTPA were obtained from ten patients with relapsing-remitting multiple sclerosis every week for 2 months. Sixty-four newly active lesions were detected by the two techniques. All the 44 new lesions seen on dual-echo scans enhanced during the early phases of their formation: 33 at their first appearance, 10 1 week before their appearance on the dual-echo scans, and one the week thereafter. When the every fourth (monthly) scan was analyzed, a total of 55 newly active lesions were detected (i.e., 14% active lesions would have been missed compared to the number found on weekly scanning). Thirty-one of them were detected by both dual-echo and triple-dose scans, 15 only by enhanced scans, and nine only by dual-echo scans. This study confirms that with highly sensitive magnetic resonance imaging techniques dysfunction of the blood-brain barrier is an obligatory early event in new lesion formation in relapsing-remitting multiple sclerosis.