Publications by authors named "Colin Vanden Bulcke"
Clinical relevance of paramagnetic rim lesion heterogeneity in multiple sclerosis.
Ann Clin Transl Neurol
December 2024
Objective: Previous studies reveal heterogeneity in terms of paramagnetic rim lesions (PRL) associated tissue damage. We investigated the physiopathology and clinical implications of this heterogeneity.
Methods: In 103 MS patients (72 relapsing and 31 progressive), brain lesions were manually segmented on 3T 3D-FLAIR and rim visibility was assessed with a visual confidence level score (VCLS) on 3D-EPI phase.
Background: Growing evidence links brain-MRI enlarged perivascular spaces (EPVS) and multiple sclerosis (MS), but their role remains unclear.
Objective: This study aimed to investigate the cross-sectional associations of EPVS with several neuroinflammatory and neurodegenerative features in a large multicentric-MS cohort.
Methods: In total, 207 patients underwent 3T axial-T2-weighted brain-MRI for EPVS assessment (EPVS dichotomized into high/low according to ⩾ 2/< 2 rating categories).
Background And Objectives: The diagnosis of multiple sclerosis (MS) can be challenging in clinical practice because MS presentation can be atypical and mimicked by other diseases. We evaluated the diagnostic performance, alone or in combination, of the central vein sign (CVS), paramagnetic rim lesion (PRL), and cortical lesion (CL), as well as their association with clinical outcomes.
Methods: In this multicenter observational study, we first conducted a cross-sectional analysis of the CVS (proportion of CVS-positive lesions or simplified determination of CVS in 3/6 lesions-Select3*/Select6*), PRL, and CL in MS and non-MS cases on 3T-MRI brain images, including 3D T2-FLAIR, T2*-echo-planar imaging magnitude and phase, double inversion recovery, and magnetization prepared rapid gradient echo image sequences.
Article Synopsis
- This study uses advanced imaging techniques to investigate the complex tissue damage in multiple sclerosis (MS), focusing on various types of lesions and the surrounding white matter.
- It analyzes data from 83 MS participants and 23 healthy controls to differentiate between active, chronic active, and chronic inactive lesions, revealing that damage extends beyond visible lesion borders.
- The findings highlight the importance of using sophisticated multi-compartment diffusion models, like NODDI, to better understand MS pathology compared to simpler models.
Article Synopsis
- Chronic active lesions (CAL) in multiple sclerosis (MS) persist even with high-efficacy treatments like B-cell depletion, making it important to understand how targeting specific lymphocyte populations could improve treatment outcomes.
- A study was conducted analyzing lymphocyte transcriptomes and using machine learning to predict the effects of depleting B-cells, followed by MRI assessments over two years on 72 MS patients.
- Findings revealed that depleting B-cells had limited impact on microglial inflammation and did not lead to the disappearance of paramagnetic rims in treated patients, indicating that anti-CD20 therapies may not effectively mitigate chronic inflammation in MS.
Magnetic Resonance Imaging (MRI) is an established technique to study in vivo neurological disorders such as Multiple Sclerosis (MS). To avoid errors on MRI data organization and automated processing, a standard called Brain Imaging Data Structure (BIDS) has been recently proposed. The BIDS standard eases data sharing and processing within or between centers by providing guidelines for their description and organization.
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