ArticleFrontiers in neuroscience2023
The signal intensity variation of multiple sclerosis (MS) lesions on magnetic resonance imaging (MRI) as a potential biomarker for patients' disability: A feasibility study.
Article in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 10 citations in OpenAlex.
- Impact of dance classes on motor and cognitive functions and gut microbiota composition in multiple sclerosis patients: Randomized controlled trial.European journal of sport science · 2024Trial
- Quantitative Susceptibility Mapping Shows Size-dependent Focused Ultrasound-mediated Therapeutic Delivery to Naive Brain and Gliomas in Mice.Radiology · 2026Article
- Enhancing the Visibility of Multiple Sclerosis Lesions using Fused Images of Fluid Attenuated Inversion Recovery (FLAIR) and white matter Attenuated Inversion Recovery (WAIR) MRI Sequences.Current medical imaging · 2026Article
- Effects of Motion in Ultrashort Echo Time Quantitative Susceptibility Mapping for Musculoskeletal Imaging.Journal of imaging · 2025Article
- Novel fat suppression technique for ultrashort echo time MRI using single-point Dixon phase modeling.Quantitative imaging in medicine and surgery · 2025Article
- Hemosiderin quantification in hemophilic arthropathy using quantitative magnetic resonance imaging.Scientific reports · 2025Article
- Predicting multiple sclerosis disease progression and outcomes with machine learning and MRI-based biomarkers: a review.Journal of neurology · 2024Review
- Association of vulnerable plaques with white matter hyperintensities on high-resolution magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2024Article
- Bibliometric analysis of myelin imaging studies of patients with multiple sclerosis (2000-2022).Quantitative imaging in medicine and surgery · 2024Article
- An updated systematic review and meta-analysis exploring the efficacy and safety of dimethyl fumarate (DMF) for patients with multiple sclerosis (MS).BMJ neurology open · 2024Article
- A Novel Convolutional Neural Network for Automated Multiple Sclerosis Brain Lesion Segmentation.Journal of neuroimaging : official journal of the American Society of NeuroimagingReview
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
Introduction: Although many lesion-based MRI biomarkers in multiple sclerosis (MS) patients were investigated, none of the previous studies dealt with the signal intensity variations (SIVs) of MS lesions. In this study, the SIVs of MS lesions on direct myelin imaging and standard clinical sequences as possible MRI biomarkers for disability in MS patients were assessed. Methods: Twenty seven MS patients were included in this prospective study. IR-UTE, FLAIR, and MPRAGE sequences were employed on a 3T scanner. Regions of interest (ROIs) were manually drawn within the MS lesions, and the cerebrospinal fluid (CSF) and signal intensity ratios (SIR) were calculated from the derived values. Variations coefficients were determined from the standard deviations (Coeff 1) and the absolute differences (Coeff 2) of the SIRs. Disability grade was assessed by the expanded disability status scale (EDSS). Cortical/gray matter, subcortical, infratentorial, and spinal lesions were excluded. Results: The mean diameter of the lesions was 7.8 ± 1.97 mm, while the mean EDSS score was 4.5 ± 1.73. We found moderate correlations between the EDSS and Coeff 1 and 2 on IR-UTE and MPRAGE images. Accordingly, Pearson's correlations on IR-UTE were Conclusion: The SIVs of MS lesions on IR-UTE and MPRAGE images, assessed by Coeff 1 and 2, could be used as novel potential MRI biomarkers for patients' disability.
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