Age-related decline in cerebral oxygen consumption in multiple sclerosis.

Cerebral oxygen metabolism is altered in relapsing-remitting multiple sclerosis (RRMS), possibly a result of disease related cerebral atrophy with subsequent decreased oxygen demand. However, MS inflammation can also inhibit brain metabolism. Therefore, we measured cerebral blood flow (CBF) and cerebral metabolic rate of oxygen (CMRO2) using MRI phase contrast mapping and susceptibility-based oximetry in 44 patients with early RRMS and 36 healthy controls. Cerebral atrophy and white matter lesion load were assessed from high-resolution structural MRI. Expanded Disability Status Scale (EDSS) scores were collected from medical records. The CMRO2 was significantly lower in patients (-15%, p = 0.002) and decreased significantly with age in patients relative to the controls (-1.35 µmol/100 g/min/year, p = 0.036). The lower CMRO2 in RRMS was primarily driven by a higher venous oxygen saturation in the sagittal sinus (p = 0.007) and not a reduction in CBF (p = 0.69). There was no difference in cerebral atrophy between the groups, and no correlation between CMRO2 and MS lesion volume or EDSS score. Therefore, the progressive CMRO2 decline observed before the occurrence of significant cerebral atrophy and despite adequate CBF supports emerging evidence of dysfunctional cellular respiration as a potential pathogenic mechanism and therapeutic target in RRMS.

Discontinuation of dimethyl fumarate in multiple sclerosis - a nationwide study.

BACKGROUND: Adherence is a prerequisite for the efficacy of any drug, and previous studies have shown that non-adherence is associated with disease activity and increased health care cost in multiple sclerosis (MS). The aim of this study was to investigate rates and reasons for discontinuation of dimethyl fumarate (DMF) among people with MS on a national level and differences between clinics in Denmark. METHODS: This was a nationwide, registry and population study of patients treated with DMF. We calculated standard residuals (SR) demonstrate differences between clinics. For survival analysis regarding discontinuation rates and discontinuation due to specific AEs we used log-rank test Cox-proportional hazards and plotted Kaplan-Meier graphics. RESULTS: We included 2,448 people with MS, treated with DMF from 2013 to 2020. Average treatment duration was 26 months (5,382 treatment years). 49.2 % of patients who initiated treatment with DMF (n = 1205) were continuously treated. Reasons for discontinuation were adverse events (54.5 %, n = 656), active disease (26.1 %, n = 315), pregnancy (9.4 %, n = 113) or other reasons (13.2 %, n = 159). We compared SR to the mean regarding reasons for discontinuation and found significant differences between sites regarding gastrointestinal adverse events, flushing and lymphopenia. Discontinuation due to all adverse events, flushing and lymphopenia were more frequent in female than male patients. CONCLUSION: In this population-based study, we found major differences between the MS clinics in rates and reason for discontinuation of DMF. Our results suggest that management strategies during DMF treatment can reduce discontinuation rates.

Microfibrillar-associated protein 4 as a potential marker of acute relapse in inflammatory demyelinating diseases of the central nervous system: Pathological and clinical aspects.

BACKGROUND: Microfibrillar-associated protein 4 (MFAP4) is an extracellular matrix protein not previously described in the human central nervous system (CNS). OBJECTIVES: We determined MFAP4 CNS expression and measured cerebrospinal fluid (CSF) and serum levels. METHODS: Tissue was sampled at autopsy from patients with acute multiple sclerosis (MS) (n = 3), progressive MS (n = 3), neuromyelitis optica spectrum disorder (NMOSD) (n = 2), and controls (n = 9), including 6 healthy controls (HC). MFAP4 levels were measured in 152 patients: 49 MS, 62 NMOSD, 22 myelin oligodendrocyte glycoprotein-associated disease (MOGAD), and 19 isolated optic neuritis (ION). RESULTS: MFAP4 localized to meninges and vascular/perivascular spaces, intense in the optic nerve. At sites of active inflammation, MFAP4 reactivity was reduced in NMOSD and acute MS and less in progressive MS. CSF MFAP4 levels were reduced during relapse and at the onset of diseases (mean U/mL: MS 14.3, MOGAD 9.7, and ION 14.6 relative to HC 17.9. (p = 0.013, p = 0.000, and p = 0.019, respectively). Patients with acute ON (n = 68) had reduced CSF MFAP4 (mean U/mL: 14.5, p = 0.006). CSF MFAP4 levels correlated negatively with relapse severity (rho = -0.41, p = 0.017). CONCLUSION: MFAP4 immunoreactivity was reduced at sites of active inflammation. CSF levels of MFAP4 were reduced following relapse and may reflect disease activity.

Scanner agnostic large-scale evaluation of MS lesion delineation tool for clinical MRI.

Introduction: Patients with MS are MRI scanned continuously throughout their disease course resulting in a large manual workload for radiologists which includes lesion detection and size estimation. Though many models for automatic lesion segmentation have been published, few are used broadly in clinic today, as there is a lack of testing on clinical datasets. By collecting a large, heterogeneous training dataset directly from our MS clinic we aim to present a model which is robust to different scanner protocols and artefacts and which only uses MRI modalities present in routine clinical examinations. Methods: We retrospectively included 746 patients from routine examinations at our MS clinic. The inclusion criteria included acquisition at one of seven different scanners and an MRI protocol including 2D or 3D T2-w FLAIR, T2-w and T1-w images. Reference lesion masks on the training (n = 571) and validation (n = 70) datasets were generated using a preliminary segmentation model and subsequent manual correction. The test dataset (n = 100) was manually delineated. Our segmentation model https://github.com/CAAI/AIMS/ was based on the popular nnU-Net, which has won several biomedical segmentation challenges. We tested our model against the published segmentation models HD-MS-Lesions, which is also based on nnU-Net, trained with a more homogenous patient cohort. We furthermore tested model robustness to data from unseen scanners by performing a leave-one-scanner-out experiment. Results: We found that our model was able to segment MS white matter lesions with a performance comparable to literature: DSC = 0.68, precision = 0.90, recall = 0.70, f1 = 0.78. Furthermore, the model outperformed HD-MS-Lesions in all metrics except precision = 0.96. In the leave-one-scanner-out experiment there was no significant change in performance (p < 0.05) between any of the models which were only trained on part of the dataset and the full segmentation model. Conclusion: In conclusion we have seen, that by including a large, heterogeneous dataset emulating clinical reality, we have trained a segmentation model which maintains a high segmentation performance while being robust to data from unseen scanners. This broadens the applicability of the model in clinic and paves the way for clinical implementation.

Efficacy of surgical treatment in patients with trigeminal neuralgia secondary to multiple sclerosis: A prospective study of 18 cases with evaluation of outcome and complications by independent evaluators.

INTRODUCTION: Medical treatments for trigeminal neuralgia secondary to multiple sclerosis have low efficacy and tolerability and scientific evidence regarding efficacy of neurosurgery is scarce. We aimed to assess neurosurgical outcome and complications in trigeminal neuralgia secondary to multiple sclerosis. METHODS: Patients with trigeminal neuralgia secondary to multiple sclerosis who underwent microvascular decompression, glycerol rhizolysis or balloon compression were prospectively and consecutively included from 2012 to 2019. Preoperatively, we systematically obtained clinical characteristics and performed a 3.0 Tesla MRI. Follow-up at three, six and 12 months was performed by independent assessors. RESULTS: We included 18 patients. Of the seven patients treated with microvascular decompression, two patients (29%) had an excellent outcome (both had neurovascular contact with morphological changes), three patients (43%) had a good outcome, one patient (14%) had treatment failure and one patient (14%) had a fatal outcome. Three patients (43%) had major complications. Of 11 patients treated with percutaneous procedures, seven patients (64%) had an excellent or good outcome with major complications in three patients (27%). CONCLUSION: Percutaneous procedures provided acceptable outcome and complication rates and should be offered to the majority of patients with trigeminal neuralgia secondary to multiple sclerosis who need surgery. Microvascular decompression is less effective and has a higher complication rate in trigeminal neuralgia secondary to multiple sclerosis compared to microvascular decompression in classical and idiopathic trigeminal neuralgia. Microvascular decompression should only be considered in patients with trigeminal neuralgia secondary to multiple sclerosis when they have neurovascular contact with morphological changes.

Hyperreflective dots in the avascular outer retina in relapsing-remitting multiple sclerosis.

BACKGROUND: Hyperreflective granular elements with a transient presence in the retina can be detected non-invasively by optical coherence tomography (OCT). Such foci or dots may represent aggregates of activated microglia. However, in multiple sclerosis an increased number of hyperreflective foci has so far not been demonstrated in the intrinsically hyporeflective and avascular outer nuclear layer of the retina where there are no fixed elements in healthy eyes. Therefore, the present study intended to investigate the presence of hyperreflective foci in the outer nuclear layer in patients with relapsing- remitting multiple sclerosis (RRMS) by using a high-resolution OCT scanning protocol. METHODS: This cross-sectional exploratory study examined 88 eyes in 44 RRMS patients and 106 eyes in 53 age- and sex-matched healthy subjects. None of the patients had any sign of retinal disease. All patients and healthy subjects each underwent one session of spectral domain OCT imaging. A total of 23,200 B-scans extracted from 8 × 8 mm blocks of linear B-scans at 60 µm intervals were analysed for hyperreflective foci in the outer nuclear layer of the retina. Analyses were made of the total block scan and a circular 6-mm diameter fovea-centered field in each eye. Multivariate logistic regression analysis was used to assess associations between parameters. RESULTS: Hyperreflective foci were observed in 31 out of 44 (70.5 %) multiple sclerosis patients compared to 1 out of 53 (1.8%) healthy subjects (p < 0.0001). From analyses of the total block scans, the median number of hyperreflective foci in the outer nuclear layer was 1 (range 0-13) in patients and 0 (range 0-2) in healthy subjects (p < 0.0001). In total, 66.2% of all hyperreflective foci were located within 6 mm of the center of the macula. There was no detectable association between the presence of hyperreflective foci and retinal nerve fiber layer or ganglion cell layer thickness. CONCLUSION: Hyperreflective granular foci in the avascular outer nuclear layer of the retina seen by OCT were almost completely absent in healthy subjects, whereas they were found, albeit at low density, in the majority of patients with RRMS. Hyperreflective foci can be repeatedly examined by non-invasive means and without pupil dilation, which opens a new field of investigation of infiltrating elements in an unmyelinated part of the central nervous system.

Antibodies to expanded virus antigen panels show elevated diagnostic sensitivities in multiple sclerosis and optic neuritis.

An antigen panel consisting of Epstein-Barr, measles, mumps, varicella zoster and rubella viruses (EMMRZ) was recently presented, which may aid in the diagnosis of multiple sclerosis (MS). The aim of this study was to validate and extend the EMMRZ panel. Various candidates, such as Cytomegalovirus and John Cunningham virus were analysed in relapsing-remitting MS (RRMS) and optic neuritis (ON) samples by enzyme-linked immunosorbent assay. IgG levels were elevated in RRMS samples and correlations were found between serum and cerebrospinal fluid levels. Cohort-dependent optimized panels were obtained for RRMS and ON, which obtained the highest sensitivity when combined with the status of oligoclonal bands.

Automated detection of hyperreflective foci in the outer nuclear layer of the retina.

PURPOSE: Hyperreflective foci are poorly understood transient elements seen on optical coherence tomography (OCT) of the retina in both healthy and diseased eyes. Systematic studies may benefit from the development of automated tools that can map and track such foci. The outer nuclear layer (ONL) of the retina is an attractive layer in which to study hyperreflective foci as it has no fixed hyperreflective elements in healthy eyes. In this study, we intended to evaluate whether automated image analysis can identify, quantify and visualize hyperreflective foci in the ONL of the retina. METHODS: This longitudinal exploratory study investigated 14 eyes of seven patients including six patients with optic neuropathy and one with mild non-proliferative diabetic retinopathy. In total, 2596 OCT B-scan were obtained. An image analysis blob detector algorithm was used to detect candidate foci, and a convolutional neural network (CNN) trained on a manually labelled subset of data was then used to select those candidate foci in the ONL that fitted the characteristics of the reference foci best. RESULTS: In the manually labelled data set, the blob detector found 2548 candidate foci, correctly detecting 350 (89%) out of 391 manually labelled reference foci. The accuracy of CNN classifier was assessed by manually splitting the 2548 candidate foci into a training and validation set. On the validation set, the classifier obtained an accuracy of 96.3%, a sensitivity of 88.4% and a specificity of 97.5% (AUC 0.989). CONCLUSION: This study demonstrated that automated image analysis and machine learning methods can be used to successfully identify, quantify and visualize hyperreflective foci in the ONL of the retina on OCT scans.

New, diagnostic flicker test for optic neuritis shows specific stages following disease onset.

BACKGROUND: Previously, results of the digital flicker test (DFT) have shown distinct patterns in acute optic neuritis (ON) and healthy eyes. We aimed to examine the diagnostic potential of the DFT in acute ON and to investigate the temporal development of the DFT response following ON while comparing with visual evoked potentials (VEP). METHODS: The DFT examines the subjective brightness of a flickering field, varied in 11 different frequencies from 0 to 60 Hz, compared to a steady field. Previous studies have indicated a pronounced darkness enhancement at medial frequencies in acute ON eyes. Darkness enhancement at medial frequencies was expressed as a quantitative covariate (DFTDE). Results were compared with healthy controls and follow-up measurements were compared with VEP. RESULTS: 112 patients were examined <31 days of onset (median 14.0 days (IQR:12.25)). 104 of 112 patients showed an abnormal flicker test (sensitivity 93%). DFT was abnormal in 2 of 55 healthy controls. The DFT showed normalization in 34% at 3 months, 36.4% at 6 months and 71.4% at >8 months from ON onset compared to 13.3%, 22.4% and 28.6% for VEP. Changes to the pattern of the DFT results were shown at specific stages during and following ON. CONCLUSIONS: The DFT is an easy-to-use and sensitive diagnostic test for acute ON. The flicker test shows a more pronounced temporal evolution following ON than VEP and may be of use monitoring the course of ON.

Diagnosis and classification of optic neuritis.

There is no consensus regarding the classification of optic neuritis, and precise diagnostic criteria are not available. This reality means that the diagnosis of disorders that have optic neuritis as the first manifestation can be challenging. Accurate diagnosis of optic neuritis at presentation can facilitate the timely treatment of individuals with multiple sclerosis, neuromyelitis optica spectrum disorder, or myelin oligodendrocyte glycoprotein antibody-associated disease. Epidemiological data show that, cumulatively, optic neuritis is most frequently caused by many conditions other than multiple sclerosis. Worldwide, the cause and management of optic neuritis varies with geographical location, treatment availability, and ethnic background. We have developed diagnostic criteria for optic neuritis and a classification of optic neuritis subgroups. Our diagnostic criteria are based on clinical features that permit a diagnosis of possible optic neuritis; further paraclinical tests, utilising brain, orbital, and retinal imaging, together with antibody and other protein biomarker data, can lead to a diagnosis of definite optic neuritis. Paraclinical tests can also be applied retrospectively on stored samples and historical brain or retinal scans, which will be useful for future validation studies. Our criteria have the potential to reduce the risk of misdiagnosis, provide information on optic neuritis disease course that can guide future treatment trial design, and enable physicians to judge the likelihood of a need for long-term pharmacological management, which might differ according to optic neuritis subgroups.

Real-world study of relapsing-remitting multiple sclerosis patients treated with Teriflunomide in Nordic countries: Quality-Of-Life, efficacy, safety and adherence outcomes.

BACKGROUND: Teriflunomide 14 mg (Aubagio®) is a once-daily, oral drug approved for the treatment of relapsing forms of multiple sclerosis (MS). While the efficacy and safety of teriflunomide have been thoroughly characterised across an extensive clinical program, we were interested in studying performance of the drug with respect to quality-of-life (QoL) outcomes in persons with MS in a real-world setting. METHODS: Teri-LIFE was a prospective, open label, non-interventional, observational, multi-centre study that enrolled 200 teriflunomide-treated patients from three Nordic countries. The primary outcome measure changes in patient-reported QoL over 24 months as measured by the Short Form-36 (SF-36) questionnaire. Secondary endpoints included clinical efficacy, fatigue, safety, treatment satisfaction (Treatment Satisfaction Questionnaire for Medication version 1.4 (TSQM-1.4)), treatment adherence, and health economic outcomes. Most assessments were made at baseline and then at 6-monthly intervals. RESULTS: Overall, changes in SF-36 scores from baseline to last visit indicated a stable QoL during treatment with teriflunomide for up to 24 months. Relapse activity decreased during the study compared to the pre-baseline period (p<0.001), patient-reported disability increased marginally, and no substantial change was seen in fatigue scores. The mean scores for TSQM domains increased nominally though not significantly from Month 6 to Month 24. The convenience and side effects TSQM domains recorded the highest median scores, indicating the acceptability of oral teriflunomide in this cohort. This was reflected in a generally high treatment adherence and decreased healthcare utilization during the study period. Some differences were seen between treatment-naïve and previously treated patients, likely reflecting different patient demographics and disease status at study entry, along with different treatment expectations. CONCLUSION: Teri-LIFE offers a reliable snapshot of QoL, efficacy, safety, and health economic outcomes in persons with relapsing MS treated with teriflunomide in routine clinical practice in Nordic countries The results were consistent with previous clinical trials and real-world studies.

Blood-brain barrier permeability changes in the first year after alemtuzumab treatment predict 2-year outcomes in relapsing-remitting multiple sclerosis.

BACKGROUND: In relapsing-remitting multiple sclerosis (RRMS), early disease control reduces the risk of permanent disability. The blood-brain barrier (BBB) is compromised in MS, and its permeability is a potential biomarker. OBJECTIVE: To investigate BBB permeability measured by MRI as a marker of alemtuzumab efficacy. METHODS: Patients with RRMS initiating alemtuzumab treatment were recruited prospectively. BBB permeability was assessed as the Patlak-derived influx constant (Ki) by dynamic contrast-enhanced MRI before and 6, 12, and 18 months after the first course of alemtuzumab. No Evidence of Disease Activity-3 (NEDA-3) status was ascertained two years after treatment initiation. RESULTS: Patients who maintained NEDA-3 status at two years (n = 7) had a larger decrease in Ki between baseline and six months (-0.029 ml/100 g/min [CI -0.005 - -0.053]) and between baseline and 12 months in normal appearing white matter (0.043 [CI 0.022 - -0.065]), than those who experienced disease activity (n = 8). ROC curve analysis of the Ki change between baseline and 12 months in NAWM predicted a loss of NEDA status at 2 years with 86% sensitivity and 86% specificity (AUC 0.98, p = 0.002). CONCLUSION: BBB permeability predicted alemtuzumab efficacy at two years, indicating that BBB permeability is a biomarker of treatment response in RRMS.

Cerebrovascular Reactivity and Neurovascular Coupling in Multiple Sclerosis-A Systematic Review.

The inflammatory processes observed in the central nervous system in multiple sclerosis (MS) could damage the endothelium of the cerebral vessels and lead to a dysfunctional regulation of vessel tonus and recruitment, potentially impairing cerebrovascular reactivity (CVR) and neurovascular coupling (NVC). Impaired CVR or NVC correlates with declining brain health and potentially plays a causal role in the development of neurodegenerative disease. Therefore, we examined studies on CVR or NVC in MS patients to evaluate the evidence for impaired cerebrovascular function as a contributing disease mechanism in MS. Twenty-three studies were included (12 examined CVR and 11 examined NVC). Six studies found no difference in CVR response between MS patients and healthy controls. Five studies observed reduced CVR in patients. This discrepancy can be because CVR is mainly affected after a long disease duration and therefore is not observed in all patients. All studies used CO2 as a vasodilating stimulus. The studies on NVC demonstrated diverse results; hence a conclusion that describes all the published observations is difficult to find. Future studies using quantitative techniques and larger study samples are needed to elucidate the discrepancies in the reported results.

MIF in the cerebrospinal fluid is decreased during relapsing-remitting while increased in secondary progressive multiple sclerosis.

BACKGROUND: Macrophage migration inhibitory factor (MIF) is involved in the function of both the innate and adaptive immune systems and in neuroprotection and has recently been implicated in multiple sclerosis (MS). OBJECTIVES: Determination of MIF levels in the cerebrospinal fluid (CSF) of patients with distinct subtypes of MS and the cellular localization of MIF in human brain tissue. METHODS: The levels of MIF were investigated in CSF from patients with clinically isolated syndrome (CIS) (n = 26), relapsing-remitting MS (RRMS) (n = 22), secondary progressive MS (SPMS) (n = 19), and healthy controls (HCs) (n = 24), using ELISA. The effect of disease-modifying therapies in the RRMS and SPMS cohorts were examined. Cellular distribution of MIF in the human brain was studied using immunochemistry and the newly available OligoInternode database. RESULTS: MIF was significantly decreased in treatment-naïve CIS and RRMS patients compared to HCs but was elevated in SPMS. Interestingly, MIF levels were sex-dependent and significantly lower in women with CIS and RRMS. MIF expression in the human brain was localized to neurons, astrocytes, pericytes, and oligo5 oligodendrocytes but not in microglia. CONCLUSION: The finding that MIF was decreased in newly diagnosed CIS and RRMS patients but was high in patients with SPMS may suggest that MIF levels in CSF are regulated by local MIF receptor expression that affects the overall MIF signaling in the brain and may represent a protective mechanism that eventually fails.

Reactivity of Rheumatoid Arthritis-Associated Citrulline-Dependent Antibodies to Epstein-Barr Virus Nuclear Antigen1-3.

Rheumatoid arthritis (RA) is a chronic disease which causes joint inflammation and, ultimately, erosion of the underlying bone. Diagnosis of RA is based on the presence of biomarkers, such as anti-citrullinated protein antibodies (ACPA) and rheumatoid factors, along with clinical symptoms. Much evidence points to a link between the Epstein-Barr virus and RA. In this study, we analyzed ACPA reactivity to citrullinated peptides originating from Epstein-Barr nuclear antigens (EBNA1, EBNA2, and EBNA3) in order to elaborate the diagnostic potential of citrullinated EBNA peptides. Moreover, ACPA cross-reactivity to citrullinated peptides from myelin basic protein (MBP) was analyzed, as citrullinated MBP recently was described to be associated with multiple sclerosis, and some degree of sequence homology between MBP and citrullinated EBNA exists. A peptide from EBNA2, (EBNA2-A, GQGRGRWRG-Cit-GSKGRGRMH) reacted with approximately 70% of all RA sera, whereas only limited reactivity was detected to EBNA1 and EBNA3 peptides. Moreover, screening of ACPA reactivity to hybrid peptides of EBNA3-A (EPDSRDQQS-Cit-GQRRGDENRG) and EBNA2-A and peptides containing citrulline close to the N-terminal confirmed that ACPA sera contain different populations of ACPAs. No notable ACPA reactivity to MBP peptides was found, confirming that ACPAs are specific for RA, and that other factors than the presence of a central Cit-Gly motif are crucial for antibody binding. Collectively, these findings illustrate that citrullinated EBNA2 is an optimal candidate for ACPA detection, supporting current evidence that EBV is linked to RA onset.

Leveraging Visual Outcome Measures to Advance Therapy Development in Neuroimmunologic Disorders.

The visual system offers unparalleled precision in the assessment of neuroaxonal damage. With the majority of patients with multiple sclerosis (MS) experiencing afferent and efferent visual dysfunction, outcome measures capturing these deficits provide insight into neuroaxonal injury, even in those with minimal disability. Ideal for use in clinical trials, visual measures are generally inexpensive, accessible, and reproducible. Quantification of visual acuity, visual fields, visual quality of life, and electrophysiologic parameters allows assessment of function, whereas optical coherence tomography (OCT) provides reliable measures of the structural integrity of the anterior afferent visual pathway. The technology of oculomotor biometrics continues to advance, and discrete measures of fixation, smooth pursuit, and saccadic eye movement abnormalities are ready for inclusion in future trials of MS progression. Visual outcomes allow tracking of neuroaxonal injury and aid in distinguishing MS from diseases such as neuromyelitis optica spectrum disorder (NMOSD) or myelin oligodendrocyte glycoprotein antibody-associated diseases (MOGAD). OCT has also provided unique insights into pathophysiology, including the identification of foveal pitting in NMOSD, possibly from damage to Müller cells, which carry an abundance of aquaporin-4 channels. For some study designs, the cost-benefit ratio favors visual outcomes over more expensive MRI outcomes. With the next frontier of therapeutics focused on remyelination and neuroprotection, visual outcomes are likely to take center stage. As an international community of collaborative, committed, vision scientists, this review by the International MS Visual System Consortium (IMSVISUAL) outlines the quality standards, informatics, and framework needed to routinely incorporate vision outcomes into MS and NMOSD trials.

Performance of the 2017 and 2010 Revised McDonald Criteria in Predicting MS Diagnosis After a Clinically Isolated Syndrome: A MAGNIMS Study.

BACKGROUND AND OBJECTIVES: To compare the performance of the 2017 revisions to the McDonald criteria with the 2010 McDonald criteria in establishing multiple sclerosis (MS) diagnosis and predicting prognosis in patients with clinically isolated syndrome (CIS) suggestive of MS. METHODS: CSF examination and brain and spinal cord MRI obtained ≤5 months from CIS onset and a follow-up brain MRI acquired within 15 months from CIS onset were evaluated in 785 patients with CIS from 9 European centers. Date of second clinical attack and of reaching Expanded Disability Status Scale score (EDSS) ≥3.0, if they occurred, were also collected. Performance of the 2017 and 2010 McDonald criteria for dissemination in space (DIS), dissemination in time (DIT) (including oligoclonal bands assessment), and DIS plus DIT for predicting a second clinical attack (clinically definite MS [CDMS]) and EDSS ≥3.0 at follow-up was evaluated. Time to MS diagnosis for the different criteria was also estimated. RESULTS: At follow-up (median 69.1 months), 406/785 patients with CIS developed CDMS. At 36 months, the 2017 DIS plus DIT criteria had higher sensitivity (0.83 vs 0.66), lower specificity (0.39 vs 0.60), and similar area under the curve values (0.61 vs 0.63). Median time to MS diagnosis was shorter with the 2017 vs the 2010 or CDMS criteria (2017 revision, 3.2; 2010 revision, 13.0; CDMS, 58.5 months). The 2 sets of criteria similarly predicted EDSS ≥3.0 milestone. Three periventricular lesions improved specificity in patients ≥45 years. DISCUSSION: The 2017 McDonald criteria showed higher sensitivity, lower specificity, and similar accuracy in predicting CDMS compared to 2010 McDonald criteria, while shortening time to diagnosis of MS. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that the 2017 McDonald Criteria more accurately distinguish CDMS in patients early after a CIS when compared to the 2010 McDonald criteria.

Assessment of Artificial Intelligence Automatic Multiple Sclerosis Lesion Delineation Tool for Clinical Use.

PURPOSE: To implement and validate an existing algorithm for automatic delineation of white matter lesions on magnetic resonance imaging (MRI) in patients with multiple sclerosis (MS) on a local single-center dataset. METHODS: We implemented a white matter hyperintensity segmentation model, based on a 2D convolutional neural network, using the conventional T2-weighted fluid attenuated inversion recovery (FLAIR) MRI sequence as input. The model was adapted for delineation of MS lesions by further training on a local dataset of 93 MS patients with a total of 3040 lesions. A quantitative evaluation was performed on ten test patients, in which model-generated masks were compared to manually delineated masks from two expert delineators. A subsequent qualitative evaluation of the implemented model was performed by two expert delineators, in which generated delineation masks on a clinical dataset of 53 patients were rated acceptable (< 10% errors) or unacceptable (> 10% errors) based on the total number of true lesions. RESULTS: The quantitative evaluation resulted in an average accuracy score (F1) of 0.71, recall of 0.77 and dice similarity coefficient of 0.62. Our implemented model obtained the highest scores in all three metrics, when compared to three out of the box lesion segmentation models. In the clinical evaluation an average of 94% of our 53 model-generated masks were rated acceptable. CONCLUSION: After adaptation to our local dataset, the implemented segmentation model was able to delineate MS lesions with a high clinical value as rated by delineation experts while outperforming popular out of the box applications. This serves as a promising step towards implementation of automatic lesion delineation in our MS clinic.

Multifocal visual evoked potential evaluation for diagnosis of acute optic neuritis and for prediction of visual outcome and ganglion cell layer thinning following optic neuritis.

BACKGROUND: While damage to the optic nerve following optic neuritis (ON) is readily quantifiable, the evaluation of prognosis for visual function and neuroaxonal loss in the acute ON is challenging. OBJECTIVE: The objective of this study is to investigate the value of multifocal visual evoked potential (mfVEP) in acute ON, diagnostically for acute ON and prognostically for visual outcome and subsequent ganglion cell/inner plexiform layer thickness (GCLIPLt). METHODS: A prospective cohort study of mfVEP and full-field visual evoked potential (ffVEP) in acute, unilateral ON (onset < 31 days) was conducted. Comparisons with healthy controls (n = 30) and association analysis with follow-up optical coherence tomography (OCT) measurements (of the GCLIPLt) and visual function (Sloan low-contrast visual acuity (LCVA)) were conducted. RESULTS: Seventy-nine ON patients were included (mean: 17 days from onset). Excluding measurements with conduction block, ffVEP (n = 54) and mfVEP (n = 44) showed sensitivities of 89% and 84% to a specificity of 97%. 65/79 patients were re-examined (mean: 200 days follow-up). mfVEP amplitude and latency inter-eye asymmetry in acute ON correlated with GCLIPLt (r = 0.587 and Spearman's ρ = 0.597, for both, p < 0.001). mfVEP amplitude correlated with LCVA inter-eye asymmetry at follow-up (r = 0.421, p < 0.001), mfVEP latency did not. CONCLUSION: mfVEP may support the prognostic evaluation of acute ON patients and prove valuable in future neuroprotective and remyelinating trials. In acute ON, the increase in diagnostic value of mfVEP to ffVEP may be limited due to widespread conduction block.

Specificity of Anti-Citrullinated Protein Antibodies to Citrullinated α-Enolase Peptides as a Function of Epitope Structure and Composition.

Rheumatoid arthritis (RA) is an autoimmune disease affecting approximately 1-2% of the world population. In addition to the first discovered serologic markers for RA, the rheumatoid factors (RFs), anti-citrullinated protein antibodies (ACPAs) are even more specific for the disease compared to RFs and are found in 70-80% of RA patient sera. RA etiopathogenesis still needs to be elucidated, as different factors are proposed to be involved, such as Epstein-Barr virus infection. Hence, understanding the interaction between ACPAs and their citrullinated peptide targets is relevant for a better knowledge of RA pathophysiology and for diagnostic purposes. In this study, a cohort of RA sera, healthy control sera and multiple sclerosis sera were screened for reactivity to a variety of citrullinated peptides originating from α-enolase, pro-filaggrin, proteoglycan and Epstein-Barr nuclear antigen-2 by enzyme-linked immunosorbent assay. ACPA reactivity to citrullinated α-enolase peptides was found to depend on peptide length and peptide conformation, favouring cyclic (disulfide bond) conformations for long peptides and linear peptides for truncated ones. Additional investigations about the optimal peptide conformation for ACPA detection, employing pro-filaggrin and EBNA-2 peptides, confirmed these findings, indicating a positive effect of cyclization of longer peptides of approximately 20 amino acids. Moreover, screening of the citrullinated peptides confirmed that ACPAs can be divided into two groups based on their reactivity. Approximately 90% of RA sera recognize several peptide targets, being defined as cross-reactive or overlapping reactivities, and whose reactivity to the citrullinated peptide is considered primarily to be backbone-dependent. In contrast, approximately 10% recognize a single target and are defined as nonoverlapping, primarily depending on the specific amino acid side-chains in the epitope for a stable interaction. Collectively, this study contributed to characterize epitope composition and structure for optimal ACPA reactivity and to obtain further knowledge about the cross-reactive nature of ACPAs.