Publications by authors named "Sicotte N"

Background: Diagnosis of multiple sclerosis (MS) frequently relies on MRI dissemination in time (DIT) and space (DIS), as codified in 2017 McDonald criteria (McD 2017). The central vein sign (CVS) is a proposed MS diagnostic biomarker, but its optimal incorporation into McD 2017 has not been extensively studied.

Objective: Evaluate the diagnostic performance of several methods incorporating CVS into McD 2017 radiological DIS criteria.

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Background And Purpose: Paramagnetic rim lesions (PRLs) are an MRI biomarker of chronic inflammation in people with multiple sclerosis (MS). PRLs may aid in the diagnosis and prognosis of MS. However, manual identification of PRLs is time-consuming and prone to poor interrater reliability.

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  • The central vein sign (CVS) is a proposed biomarker for diagnosing multiple sclerosis (MS) but traditional manual ratings for assessing CVS lesions can be slow and inconsistent.
  • This study compared an automated CVS detection method to manual rating in 86 participants being evaluated for MS using 3T MRI scans.
  • Results showed the automated method had a similar effectiveness in distinguishing MS patients from non-patients as the manual methods, with an area under the curve (AUC) ranging between 0.78 and 0.89, depending on the method used.
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  • The study evaluates the effectiveness of simplified imaging methods (central vein sign or CVS) compared to cerebrospinal fluid oligoclonal bands (OCB) as diagnostic tools for multiple sclerosis (MS).
  • Results indicate that both methods have similar sensitivity and specificity, with a higher positive predictive value (PPV) for the CVS method after 12 months.
  • Further research is planned to determine if CVS can replace or work alongside OCB for diagnosing MS.
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  • About 6.9 million Americans have Alzheimer’s dementia, with Lecanemab showing some promise in slowing decline for those with mild symptoms, but it comes with risks of brain-related side effects.
  • Lecanemab requires patients to have biweekly infusions and continuous monitoring, which adds complexity to treatment and demands a team approach for safety and effectiveness.
  • The way Lecanemab treatment is organized can help guide future management strategies for new therapies in neurology and potentially other medical fields.
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Background: The United States faces a growing challenge with over 6.5 million people living with dementia (PLwD). PLwD and their caregivers struggle with cognitive, functional, behavioral, and psychosocial issues.

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  • The study investigated if the volume of the choroid plexus (CPV) can distinguish multiple sclerosis (MS) from similar conditions.
  • It analyzed data from 50 MS patients and 64 patients with other diagnoses, using 3T MRI to measure CPV accurately.
  • Results showed that the normalized choroid plexus volume (nCPV) had good specificity for identifying MS, suggesting it can help differentiate MS from other conditions.
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Chronic active lesions (CAL) are an important manifestation of chronic inflammation in multiple sclerosis and have implications for non-relapsing biological progression. In recent years, the discovery of innovative MRI and PET-derived biomarkers has made it possible to detect CAL, and to some extent quantify them, in the brain of persons with multiple sclerosis, in vivo. Paramagnetic rim lesions on susceptibility-sensitive MRI sequences, MRI-defined slowly expanding lesions on T1-weighted and T2-weighted scans, and 18-kDa translocator protein-positive lesions on PET are promising candidate biomarkers of CAL.

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  • The study evaluated a simplified method for assessing the central vein sign (CVS) in patients potentially diagnosed with multiple sclerosis (MS) using MRI scans.
  • It analyzed 78 participants, with 47% diagnosed with MS, and found the simplified scoring method had a good diagnostic performance (AUROC of 0.83) and consistent inter-rater reliability.
  • The results indicated that this easier approach can effectively identify CVS-positive lesions, which may improve the diagnosis of MS in clinical settings.
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Multiple sclerosis (MS) is a highly heterogeneous disease. Currently, a combination of clinical features, MRI, and cerebrospinal fluid markers are used in clinical practice for diagnosis and treatment decisions. In recent years, there has been considerable effort to develop novel biomarkers that better reflect the pathologic substrates of the disease to aid in diagnosis and early prognosis, evaluation of ongoing inflammatory activity, detection and monitoring of disease progression, prediction of treatment response, and monitoring of disease-modifying treatment safety.

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Background: While patients with dementia entering the hospital have worse outcomes than those without dementia, early detection of dementia in the inpatient setting is less than 50%. We developed and assessed the positive predictive value (PPV) and feasibility of a novel electronic health record (EHR) banner to identify patients with dementia who present to the inpatient setting using data from the medical record.

Methods: We developed and implemented an EHR algorithm to flag hospitalized patients age ≥65 years with potential cognitive impairment in the Epic EHR system using dementia ICD-10 codes, FDA-approved medications, and the use of the term "dementia" in the emergency department physician note.

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  • Depression is significantly more common in patients with neurological and inflammatory disorders, particularly multiple sclerosis, where about 25% experience major depressive disorder, impacting their quality of life and disease progression.
  • A randomized controlled trial was conducted to assess an internet-based cognitive behavioral therapy program specifically designed for patients with multiple sclerosis, comparing it to standard treatment.
  • The primary goal was to measure changes in depressive symptoms using the Beck Depression Inventory-II after 12 weeks, with the trial lasting from May 2017 to November 2020 and being registered on ClinicalTrials.gov.
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Purpose: To develop a deep learning method to synthesize conventional contrast-weighted images in the brain from MR multitasking spatial factors.

Methods: Eighteen subjects were imaged using a whole-brain quantitative T -T -T MR multitasking sequence. Conventional contrast-weighted images consisting of T MPRAGE, T gradient echo, and T fluid-attenuated inversion recovery were acquired as target images.

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Purpose: For many patients, the multiple sclerosis (MS) diagnostic process can be lengthy, costly, and fraught with error. Recent research aims to address the unmet need for an accurate and simple diagnostic process through discovery of novel diagnostic biomarkers. This review summarizes recent studies on MS diagnostic fluid biomarkers, with a focus on blood biomarkers, and includes discussion of technical limitations and practical applicability.

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The central vein sign (CVS) is a proposed MRI biomarker of multiple sclerosis (MS). The impact of gadolinium-based contrast agent (GBCA) administration on CVS evaluation remains poorly investigated. The purpose of this study was to assess the effect of GBCA use on CVS detection and on the diagnostic performance of the CVS for MS using a 3-T FLAIR* sequence.

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The specificity and implementation of current MRI-based diagnostic criteria for multiple sclerosis (MS) are imperfect. Approximately 1 in 5 of individuals diagnosed with MS are eventually determined not to have the disease, with overreliance on MRI findings a major cause of MS misdiagnosis. The central vein sign (CVS), a proposed MRI biomarker for MS lesions, has been extensively studied in numerous cross sectional studies and may increase diagnostic specificity for MS.

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Management of multiple sclerosis and neuroimmunologic disorders has become increasingly complex because of the expanding number of recognized neuroimmune disorders, increased number of therapeutic options, and multidisciplinary care management needs of people with multiple sclerosis and neuroimmunologic disorders. More subspecialists are needed to optimize care of these patients, and many fellowship programs have been created or expanded to increase the subspecialty workforce. Consequently, defining the scope and standardizing fellowship training is essential to ensure that trainees receive high-quality training.

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Although multiple sclerosis has traditionally been considered a white matter disease, extensive research documents the presence and importance of grey matter injury including cortical and deep regions. The deep grey matter exhibits a broad range of pathology and is uniquely suited to study the mechanisms and clinical relevance of tissue injury in multiple sclerosis using magnetic resonance techniques. Deep grey matter injury has been associated with clinical and cognitive disability.

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Background: Misdiagnosis of multiple sclerosis (MS) is common and often occurs due to misattribution of non-MS magnetic resonance imaging (MRI) lesions to MS demyelination. A recently developed MRI biomarker, the central vein sign (CVS), has demonstrated high specificity for MS lesions and may thus help prevent misdiagnosis.

Objective: This study explores the potential "real world" diagnostic value of CVS by comparing CVS in patients with MS and patients previously misdiagnosed with MS.

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Purpose: To develop a 3D whole-brain simultaneous T1/T2/T1ρ quantification method with MR Multitasking that provides high quality, co-registered multiparametric maps in 9 min.

Methods: MR Multitasking conceptualizes T1/T2/T1ρ relaxations as different time dimensions, simultaneously resolving all three dimensions with a low-rank tensor image model. The proposed method was validated on a phantom and in healthy volunteers, comparing quantitative measurements against corresponding reference methods and evaluating the scan-rescan repeatability.

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Importance: Autologous hematopoietic stem cell transplant (AHSCT) for multiple sclerosis has gained increasing interest in recent years. Despite the availability of many US Food and Drug Administration-approved disease-modifying therapies, some patients do not respond adequately and others may have very early aggressive disease that prompts consideration of alternative, highly effective, long-lasting therapy. The National Medical Advisory Committee of the National Multiple Sclerosis Society has reviewed recent literature on AHSCT for the purpose of making recommendations about its use based on current knowledge, as well as pointing out areas of controversy and issues requiring further research.

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In multisite neuroimaging studies there is often unwanted technical variation across scanners and sites. These "scanner effects" can hinder detection of biological features of interest, produce inconsistent results, and lead to spurious associations. We propose mica (multisite image harmonization by cumulative distribution function alignment), a tool to harmonize images taken on different scanners by identifying and removing within-subject scanner effects.

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Clinicians involved with different aspects of the care of persons with multiple sclerosis (MS) and scientists with expertise on clinical and imaging techniques convened in Dallas, TX, USA on February 27, 2019 at a North American Imaging in Multiple Sclerosis Cooperative workshop meeting. The aim of the workshop was to discuss cardinal pathobiological mechanisms implicated in the progression of MS and novel imaging techniques, beyond brain atrophy, to unravel these pathologies. Indeed, although brain volume assessment demonstrates changes linked to disease progression, identifying the biological mechanisms leading up to that volume loss are key for understanding disease mechanisms.

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Microglia originate from myeloid progenitors in the embryonic yolk sac and play an integral role in central nervous system (CNS) development, immune surveillance and repair. The role of microglia in multiple sclerosis (MS) has been complex and controversial, with evidence suggesting that these cells play key roles in both active inflammation and remyelination. Here we will review the most recent histological classification of MS lesions as well as the evidence supporting both inflammatory and reparative functions of these cells.

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