Risk of T2 lesions when discontinuing fingolimod: a nationwide predictive and comparative study.

Fingolimod is a frequently used disease-modifying therapy in relapsing-remitting multiple sclerosis. However, case reports and small observational studies indicate a highly increased risk of disease reactivation after discontinuation. We aimed to investigate the risk of radiological disease reactivation in patients discontinuing fingolimod. We performed a nationwide cohort study in Denmark, including patients who discontinued fingolimod between January 2014 and January 2023. Eligibility was a diagnosis with relapsing-remitting multiple sclerosis and two MRIs performed respectively within 1 year before and after discontinuing fingolimod. The included patients were compared with those discontinuing dimethyl fumarate with the same eligibility criteria in an unadjusted and matched propensity score analysis. Matching was done on age, sex, Expanded Disability Status Scale, MRI data, cause for treatment discontinuation, treatment duration and relapse rate. The main outcome was the presence of new T2 lesions on the first MRI after treatment discontinuation. To identify high-risk patients among those discontinuing fingolimod, we made a predictive model assessing risk factors for obtaining new T2 lesions. Of 1324 patients discontinuing fingolimod in the study period, 752 were eligible for inclusion [mean age (standard deviation), years, 41 (10); 552 females (73%); median Expanded Disability Status Scale (Q1-Q3), 2.5 (2.0-3.5); mean disease duration (standard deviation), years, 12 (8)]. Of 2044 patients discontinuing dimethyl fumarate in the study period, 957 were eligible for inclusion, presenting similar baseline characteristics. Among patients discontinuing fingolimod, 127 (17%) had 1-2 new T2 lesions, and 124 (17%) had ≥3 new T2 lesions compared with 114 (12%) and 45 (5%), respectively, for those discontinuing dimethyl fumarate, corresponding to odds ratios (95% confidence interval) of 1.8 (1.3-2.3) and 4.4 (3.1-6.3). The predictive model, including 509 of the 752 patients discontinuing fingolimod, showed a highly increased risk of new T2 lesions among those with disease activity during fingolimod treatment and among females under 40 years. This nationwide study suggests that discontinuing fingolimod in some cases carries a risk of developing new T2 lesions, emphasizing the importance of clinical awareness. If feasible, clinicians should prioritize the prompt initiation of new disease-modifying therapies, particularly among young females.

Expanding the Spectrum of Stress-Induced Childhood-Onset Neurodegeneration with Variable Ataxia and Seizures (CONDSIAS).

Stress-induced childhood-onset neurodegeneration with variable ataxia and seizures (CONDSIAS) is an extremely rare, autosomal recessive neurodegenerative disorder. It is caused by biallelic pathogenic variants in the ADPRS gene, which encodes an enzyme involved in DNA repair, and is characterized by exacerbations in relation to physical or emotional stress, and febrile illness. We report a 24-year-old female, who was compound heterozygous for two novel pathogenic variants revealed by whole exome sequencing. Additionally, we summarize the published cases of CONDSIAS. In our patient, onset of symptoms occurred at 5 years of age and consisted of episodes of truncal dystonic posturing, followed half a year later by sudden diplopia, dizziness, ataxia, and gait instability. Progressive hearing loss, urinary urgency, and thoracic kyphoscoliosis ensued. Present neurological examination revealed dysarthria, facial mini-myoclonus, muscle weakness and atrophy of hands and feet, leg spasticity with clonus, truncal and appendicular ataxia, and spastic-ataxic gait. Hybrid [18F]-fluorodeoxyglucose (FDG) positron emission tomography/magnetic resonance imaging (PET/MRI) of the brain revealed cerebellar atrophy, particularly of the vermis, with corresponding hypometabolism. MRI of the spinal cord showed mild atrophy. After informed consent from the patient, we initiated experimental, off-label treatment with minocycline, a poly-ADP-polymerase (PARP) inhibitor, which has shown beneficial effects in a Drosophila fly model. The present case report expands the list of known pathogenic variants in CONDIAS and presents details of the clinical phenotype. Future studies will reveal whether PARP inhibition is an effective treatment strategy for CONDIAS.

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.

Artificial Intelligence for Automated DWI/FLAIR Mismatch Assessment on Magnetic Resonance Imaging in Stroke: A Systematic Review.

We conducted this Systematic Review to create an overview of the currently existing Artificial Intelligence (AI) methods for Magnetic Resonance Diffusion-Weighted Imaging (DWI)/Fluid-Attenuated Inversion Recovery (FLAIR)-mismatch assessment and to determine how well DWI/FLAIR mismatch algorithms perform compared to domain experts. We searched PubMed Medline, Ovid Embase, Scopus, Web of Science, Cochrane, and IEEE Xplore literature databases for relevant studies published between 1 January 2017 and 20 November 2022, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We assessed the included studies using the Quality Assessment of Diagnostic Accuracy Studies 2 tool. Five studies fit the scope of this review. The area under the curve ranged from 0.74 to 0.90. The sensitivity and specificity ranged from 0.70 to 0.85 and 0.74 to 0.84, respectively. Negative predictive value, positive predictive value, and accuracy ranged from 0.55 to 0.82, 0.74 to 0.91, and 0.73 to 0.83, respectively. In a binary classification of ±4.5 h from stroke onset, the surveyed AI methods performed equivalent to or even better than domain experts. However, using the relation between time since stroke onset (TSS) and increasing visibility of FLAIR hyperintensity lesions is not recommended for the determination of TSS within the first 4.5 h. An AI algorithm on DWI/FLAIR mismatch assessment focused on treatment eligibility, outcome prediction, and consideration of patient-specific data could potentially increase the proportion of stroke patients with unknown onset who could be treated with thrombolysis.

Oligoclonal bands, age 11-17 years, occipital lesion, and female sex differentiate pediatric multiple sclerosis from acute disseminated encephalomyelitis: A nationwide cohort study.

BACKGROUND: Our aim was to propose criteria to distinguish multiple sclerosis (MS) from acute disseminated encephalomyelitis (ADEM) at onset based on age at onset, sex, cerebrospinl fluid (CSF)-specific oligoclonal bands, and MRI. METHODS: A neuroradiologist undertook retrospective evaluation of the baseline magnetic resonance imaging (MRI) in a nationwide cohort of children with medical record-validated MS (n = 67) and monophasic ADEM (n = 46). Children with ADEM had at least 5 years of follow-up for relapse. We used forward stepwise conditional logistic regression to develop our criteria based on age at onset, sex, CSF-specific oligoclonal bands, and MRI. We undertook sensitivity analyses using children with ADEM including encephalopathy and polyfocal neurological deficits and in those with onset between 11 and 17 years of age. We estimated accuracy statistics from our criteria and all previously proposed MRI criteria to distinguish MS and ADEM. RESULTS: The best performing criteria to differentiate MS from ADEM were scoring at least three points in the following categories: presence of CSF-specific oligoclonal bands (2 points), occipital lesion (1 point), age 11-17 years (1 point), female sex (1 point). These criteria gave highly reliable discrimination with sensitivity of 95% (95% CI=89%-100%), specificity of 100% (95% CI=100%-100%), and area under the curve of 98% (95% CI=95%-100%). The best performing MRI criteria had area under the curve of 84% (95% CI=78%-91%). Previously proposed MRI criteria had the following areas under the curve: Callen (75%), KIDMUS (82%), and McDonald 2017 criteria (68%). CONCLUSION: Combining sex, age at onset, CSF-specific oligoclonal bands, and MRI gives highly reliable differentiation between pediatric MS and monophasic ADEM at onset.

Acute posterior multifocal placoid pigment epitheliopathy resembling multiple sclerosis.

A 23-year-old man presented with right eye blurred vision; he was diagnosed with acute posterior multifocal placoid pigment epitheliopathy (APMPPE), and his symptoms resolved with prednisolone. Two months later, he developed a right arm weakness that resolved after 3 weeks. MR scan of brain identified changes suggesting multiple sclerosis, with four hyperintense FLAIR lesions; there was contrast enhancement of two lesions and no diffusion restriction. Cerebrospinal fluid showed mononuclear pleocytosis. We eventually diagnosed these as APMPPE-associated CNS lesions. APMPPE is a rare inflammatory chorioretinopathy that rarely can resemble multiple sclerosis clinically and radiologically.

Magnetic resonance imaging criteria at onset to differentiate pediatric multiple sclerosis from acute disseminated encephalomyelitis: A nationwide cohort study.

BACKGROUND: MRI of the nervous system is the critical in distinguishing pediatric MS from acute disseminated encephalomyelitis (ADEM). Our aim was to propose MRI criteria to distinguish MS from monophasic ADEM based on the first MRI and to validate previously proposed MRI criteria. METHODS: A neuroradiologist undertook retrospective evaluation of the MRI at the first demyelinating event in children (<18 years) with medical record-validated MS and ADEM in Denmark during 2008-15. We used forward stepwise logistic regression to identify MRI categories that differed significantly between MS and ADEM. We estimated accuracy statistics for all MRI criteria to distinguish MS from ADEM. RESULTS: The monophasic ADEM cohort (n=46) was nationwide and population-based during 2008-15; the median age at onset of 5.3 years (range 0.8‒17.2) and children had at least five years of follow-up to ensure a monophasic disease course. Children with MS (n=67) had a median age at onset of 16.3 years (range 3.3‒17.9). Having at least two categories best distinguished MS from monophasic ADEM by an area under the curve of 83% to 89%: (a) corpus callosum long axis perpendicular lesion; (b) only well-defined lesions; (c) absence of basal ganglia or thalamus lesion OR, (a) corpus callosum long axis perpendicular lesion; (b) only well-defined lesions; (c) absence of diffuse large lesions; (d) black holes. The Callen, KIDMUS, and IPMSSG criteria performed well. The McDonald 2017, Barkhof, MAGNIMS, and Verhey criteria had poorer performance. CONCLUSION: This study provides Class II evidence that MRI has good performance in differentiating MS from monophasic ADEM at onset.

Validation of MRI radiological reports in pediatric MS according to the McDonald 2017 criteria: A Danish nationwide multicenter cohort study.

BACKGROUND: MRI allows demonstration of dissemination in space and time at the first demyelinating event. However, no pediatric MS study has investigated the validity of MS-specific outcomes described in MRI radiological reports that clinicians rely on to make the MS diagnosis and to assess the MS treatment effect. Our aim was to validate MS-specific outcomes in hospital MRI reports in pediatric MS by comparing MS-specific outcomes in MRI reports with secondary MRI review. METHODS: A senior consultant and a resident neurologist extracted data on MS-specific outcomes from MRI reports at baseline and follow-up in children with MS onset during 2008-15 in Denmark. Gold standard was an expert neuroradiologist's secondary MRI review. We estimated percent agreement and Kappa values by comparing data extracted from hospital MRI reports (what we wanted to test) with results from the secondary MRI reviews (our gold standard). RESULTS: Among 55 children with MS, we included 44 baseline and 48 follow-up MRIs. The median age at MS onset was 16.3 years (range 9.2‒17.9). Agreement between the MRI reports and the secondary MRI review ranged 68%-100% for MS-specific outcomes; agreement was higher when MRI outcomes were present. Kappa values ranged from 0.42 ("moderate") to 1.00 ("excellent"). Kappa for fulfillment of the McDonald 2017 criteria was 0.60 on baseline MRI, and 0.53 on follow-up MRI. Kappa for a new lesion on follow-up MRI was 0.41. CONCLUSION: Agreement was moderate to good for most MS-specific outcomes between MS neurologists' data extraction from hospital MRI radiological reports compared with a neuroradiologist's secondary MRI review. The agreement was moderate for both fulfilling the McDonald 2017 criteria and acquiring a new lesion on follow-up MRI. We recommend structured MRI reporting in children suspected of acquired demyelinating syndromes to increase validity of hospital MRI reports and clinical use.

MRI of the Entire Spinal Cord-Worth the While or Waste of Time? A Retrospective Study of 74 Patients with Multiple Sclerosis.

Spinal cord lesions are included in the diagnosis of multiple sclerosis (MS), yet spinal cord MRI is not mandatory for diagnosis according to the latest revisions of the McDonald Criteria. We investigated the distribution of spinal cord lesions in MS patients and examined how it influences the fulfillment of the 2017 McDonald Criteria. Seventy-four patients with relapsing-remitting MS were examined with brain and entire spinal cord MRI. Sixty-five patients received contrast. The number and anatomical location of MS lesions were assessed along with the Expanded Disability Status Scale (EDSS). A Chi-square test, Fischer's exact test, and one-sided McNemar's test were used to test distributions. MS lesions were distributed throughout the spinal cord. Diagnosis of dissemination in space (DIS) was increased from 58/74 (78.4%) to 67/74 (90.5%) when adding cervical spinal cord MRI to brain MRI alone (p = 0.004). Diagnosis of dissemination in time (DIT) was not significantly increased when adding entire spinal cord MRI to brain MRI alone (p = 0.04). There was no association between the number of spinal cord lesions and the EDSS score (p = 0.71). MS lesions are present throughout the spinal cord, and spinal cord MRI may play an important role in the diagnosis and follow-up of MS patients.

Central and peripheral nervous system complications of COVID-19: a prospective tertiary center cohort with 3-month follow-up.

OBJECTIVE: To systematically describe central (CNS) and peripheral (PNS) nervous system complications in hospitalized COVID-19 patients. METHODS: We conducted a prospective, consecutive, observational study of adult patients from a tertiary referral center with confirmed COVID-19. All patients were screened daily for neurological and neuropsychiatric symptoms during admission and discharge. Three-month follow-up data were collected using electronic health records. We classified complications as caused by SARS-CoV-2 neurotropism, immune-mediated or critical illness-related. RESULTS: From April to September 2020, we enrolled 61 consecutively admitted COVID-19 patients, 35 (57%) of whom required intensive care (ICU) management for respiratory failure. Forty-one CNS/PNS complications were identified in 28 of 61 (45.9%) patients and were more frequent in ICU compared to non-ICU patients. The most common CNS complication was encephalopathy (n = 19, 31.1%), which was severe in 13 patients (GCS ≤ 12), including 8 with akinetic mutism. Length of ICU admission was independently associated with encephalopathy (OR = 1.22). Other CNS complications included ischemic stroke, a biopsy-proven acute necrotizing encephalitis, and transverse myelitis. The most common PNS complication was critical illness polyneuromyopathy (13.1%), with prolonged ICU stay as independent predictor (OR = 1.14). Treatment-related PNS complications included meralgia paresthetica. Of 41 complications in total, 3 were para/post-infectious, 34 were secondary to critical illness or other causes, and 4 remained unresolved. Cerebrospinal fluid was negative for SARS-CoV-2 RNA in all 5 patients investigated. CONCLUSION: CNS and PNS complications were common in hospitalized COVID-19 patients, particularly in the ICU, and often attributable to critical illness. When COVID-19 was the primary cause for neurological disease, no signs of viral neurotropism were detected, but laboratory changes suggested autoimmune-mediated mechanisms.

Magnetic resonance imaging at baseline and follow-up to differentiate between pediatric monophasic acquired CNS demyelination and MS.

BACKGROUND: It is essential to distinguish acute disseminated encephalomyelitis (ADEM) from MS early. Our aim was to determine MRI features at baseline and follow-up to distinguish pediatric ADEM from MS stratified according to age at onset. METHODS: Using hospital ICD-10 codes for acquired demyelinating syndromes from a nationwide register and subsequent chart review, we identified 52 children (<18 years) with ADEM and 66 children with MS. We undertook a retrospective analysis of MRI scans at onset and at follow-up. The MRI rater was a senior neuroradiologist blinded to clinical characteristics. RESULTS: At baseline, children with ADEM had more diffuse poorly demarcated lesions, particularly in the basal ganglia/thalamus (p = 0.001) and cerebellar peduncles (p < 0.0001). Further, longitudinal extensive transverse myelitis was strongly associated with ADEM (p<0.0001). Children with ADEM had fewer contrast-enhancing lesions (p = 0.0004), occipital lesions (p = 0.01), optic nerve lesions (p = 0.01), periventricular lesions, well-defined lesions only (p<0.0001), and fewer fulfilled dissemination in time according to the McDonald 2017 criteria (p = 0.005). On baseline MRI, dissemination in space and time was fulfilled in 17% of children with ADEM and in 34% of children with MS (p = 0.06), and 60% of children with ADEM fulfilled the criterion for dissemination in space. The mean time from baseline MRI to follow-up MRI was 1.0 year for children with ADEM and 2.1 years for children with MS. On follow-up MRI, 85% of children with ADEM had partial or complete T2 lesion resolution, but in the 58% without complete resolution lesions were predominantly frontal. Only 47% of children with MS had partial or complete T2 lesion resolution, and therefore more MRI features differed between children with ADEM and MS on follow-up. MRI had the greatest distinguishing value after age 11 years because MS is exceptional in the first decade of life. CONCLUSION: Age at onset and the timing of MRI in relation to disease onset are critical in the interpretation of MRI to distinguish between ADEM and MS.

The effect of alternate-day caloric restriction on the metabolic consequences of 8 days of bed rest in healthy lean men: a randomized trial.

Physical activity and alternate-day fasting/caloric restriction may both ameliorate aspects of the metabolic syndrome, such as insulin resistance, visceral fat mass accumulation, and cognitive impairment by overlapping mechanisms. The purpose of this study was to test the hypothesis that alternate-day caloric restriction (ADCR) with overall energy balance would reduce insulin resistance and accumulation of visceral fat, in addition to improving cognitive functions, after 8 consecutive days in bed. Healthy, lean men (n = 20) were randomized to 1) 8 days of bed rest with three daily isoenergetic meals (control group, n = 10); and 2) 8 days of bed rest with 25% of total energy requirements every other day and 175% of total energy requirements every other day (ADCR group). Oral glucose tolerance testing, dual-energy X-ray absorptiometry (DXA) scans, magnetic resonance imaging of the abdomen and brain, V̇o2max, and tests for cognitive function were performed before and after bed rest. In addition, daily fasting blood samples and 24-h glucose profiles by continuous glucose monitoring system were assessed during the 8 days of bed rest period. Bed rest induced insulin resistance, visceral fat accumulation, and worsening of mood. No positive effects emerged from ADCR on these negative health outcomes. Compared with the control group, ADCR was associated with improved and steadier glycemic control on fasting days and higher glycemic fluctuation and indexes of insulin resistance on overeating days. In contrast to our hypothesis, the metabolic impairment induced by 8 days of bed rest was not counteracted by ADCR with overall energy balance. NEW & NOTEWORTHY: Alternate-day caloric restriction without overall energy reduction does not ameliorate the metabolic impairment induced in lean men by 8 days of bed rest.

[Computer tomography angiography of the cerebral and cervical vessels]. / Computertomografiangiografi af hjernens og halsens kar.

Due to the high temporal and spatial resolution in multislice computed tomography it is possible to perform high-quality computer tomography angiography (CTA) of the cerebral and cervical vessels. Compared to digital subtraction angiography (DSA), a method that is still considered to be the golden standard, CTA is faster and can be performed using a minimal invasive technique. In this paper we outline the clinical indications for performing CTA (aneurysms, stroke, vasospasms, arterio-venous malformations, dissection). Examples of scan protocols are given both for angiography of the cerebral vessels alone and for angiography of the cervical and cerebral vessels in combination. Postprocessing methods for evaluating the images in 2D and 3D are described. Finally CTA is compared to other modalities (DSA, magnetic resonance angiography and Doppler ultrasound).

[Magnetic resonance and multiple sclerosis I. Conventional diagnostic techniques]. / Magnetisk resonans og multipel sklerose. I. Konventionelle diagnostiske metoder.

Conventional magnetic resonance imaging (MRI) is still the standard technique in the diagnosis and follow-up of patients with multiple sclerosis (MS), despite low pathological specificity and poor correlation to the disability. The results of T2- and T1-weighted imaging with and without contrast and the lesion characteristics are presented in this review. The numerous differential diagnoses and the diagnostic MRI criteria are also reviewed.

[Magnetic resonance and multiple sclerosis II. New diagnostic techniques]. / Magnetisk resonans og multipel sklerose. II. Nye diagnostiske metoder.

Conventional magnetic resonance imaging (MRI) techniques have proved important in the diagnosis and in the follow-up in clinical trials of patients with multiple sclerosis (MS). However, these techniques have low specificity for the pathological changes in the MS lesions, and the correlation between conventional MRI and the disability is poor. The last ten years have seen the development of new techniques with improved sensitivity and increased pathological specificity, such as magnetisation transfer imaging (MTI), magnetic resonance spectroscopy (MRS), diffusion-weighted imaging, and functional magnetic resonance imaging (fMRI). These techniques and their contribution to the knowledge about the pathophysiology of MS are described in this review.