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Objective: To investigate, in two cohorts including patients with multiple sclerosis (MS) and migraine, (i) the prevalence of the "central vein sign" (CVS), (ii) the spatial distribution of positive CVS (CVS+) lesions, (iii) the threshold of CVS+ lesions able to distinguish MS from migraine with high sensitivity and specificity.
Methods: A total of 70 patients with MS/clinically isolated syndrome and 50 age- and sex-matched patients with migraine underwent a 3-T magnetic resonance imaging scan. The CVS was evaluated according to current guidelines, excluding eight patients with migraine who did not show white matter (WM) lesions. A receiver operating characteristic curve analysis was performed to identify the best threshold in terms of proportion of CVS+ lesions and the absolute number of CVS+ lesions able to differentiate MS from migraine.
Results: Lesion volume was different between CVS+ and CVS negative lesions (median 1043 vs. 176.5 mm for MS cohort; median 35.1 vs. 52.2 mm for migraine cohort; p < 0.001 for all). A higher proportion of CVS+ lesions was associated with a higher probability of being diagnosed as MS (adjusted odds ratio 1.09, 95% confidence interval [CI] 1.04-1.14; p < 0.001). CVS+ lesion volume and number were higher in MS with respect to migraine, both considering the whole brain and its subregions (p < 0.001). The proportion of CVS+ lesions in juxtacortical and infratentorial areas was higher in MS than in migraine (p = 0.015 and p = 0.034, respectively). The best CVS proportion-based threshold able to differentiate MS from migraine was 35.0% (sensitivity 97.1%, specificity 85.7%) with an area under the curve of 0.95 (95% CI 0.90-1.00). The "select 6" rule seemed to be preferable in terms of specificity with respect to the "select 3" rule.
Conclusions: A CVS proportion-based threshold of 35.0% is capable of distinguishing MS from migraine with high sensitivity and specificity. The "select 6" algorithm may be useful in the clinical setting.
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http://dx.doi.org/10.1111/head.14902 | DOI Listing |
Quant Imaging Med Surg
September 2025
Department of Cardiology, The Second Affiliated Hospital of Wannan Medical College, Wuhu, China.
Background: The Coronary Artery Tree Description and Lesion Evaluation (CatLet) angiographic scoring system is a newly developed vascular scoring for assessing the degree of coronary artery stenosis. It has unique advantages in reflecting coronary artery variability as compared to Synergy between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery (SYNTAX) score. Preliminary studies support its superiority over SYNTAX in predicting clinical outcomes after percutaneous coronary intervention (PCI) in patients with chronic coronary syndrome (CCS).
View Article and Find Full Text PDFEur J Neurol
August 2025
Support Centre for Advanced Neuroimaging (SCAN), Institute for Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland.
Background: 7 Tesla (7 T) magnetic resonance imaging (MRI) offers higher spatial resolution and signal-to-noise ratio, enhancing visualization of multiple sclerosis (MS) lesions, including cortical and deep gray matter lesions. It improves detection of MS biomarkers like paramagnetic rim lesions (PRLs) and central vein sign (CVS). Costs have impacted its adoption and experience in clinical practice.
View Article and Find Full Text PDFFront Pediatr
August 2025
Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
Introduction: Lead is a naturally occurring metal with highly toxic effects on humans, particularly children, who are particularly vulnerable to its long-lasting adverse impacts.
Patient Concerns: This report presents the case of a 10-year-old boy with a 10-month history of recurrent vomiting. No organic lesions were identified.
Front Neurosci
July 2025
Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.
Background: Quantitative susceptibility mapping (QSM) has emerged as a promising paraclinical tool in multiple sclerosis (MS). This retrospective pilot study aims to evaluate whether a recently proposed deep learning-assisted, k-space-operating reconstruction, denoising and super-resolution technique (DLR) applied on 3D-echo-planar-imaging (3DEPI) protocols, has the potential to improve the quality and clinical utility of QSM in MS, at 3T. Secondarily, we assess whether applying DLR vs.
View Article and Find Full Text PDFMult Scler Relat Disord
July 2025
Department of Radiology, Koç University Hospital, Istanbul, Turkey.
Objective: Central vein sign (CVS) in isotropic FLAIR* imaging is a successful marker for multiple sclerosis (MS). Our objective is to explore the prevalence of gadolinium-based contrast agent (GBCA) enhanced FLAIR* in a 1.5 T system for CVS assessment.
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