MRI features and disability in multiple sclerosis: A systematic review and meta-analysis

Nabizadeh, Fardin; Zafari, Rasa; Mohamadi, Mobin; Maleki, Tahereh; Fallahi, Mohammad Sadegh; Rafiei, Nazanin

doi:10.1016/j.neurad.2023.11.007

Journal of Neuroradiology

2024

DOI: 10.1016/j.neurad.2023.11.007

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MRI features and disability in multiple sclerosis: A systematic review and meta-analysis

Fardin Nabizadeh,

Rasa Zafari,

Mobin Mohamadi

et al.

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Cited by 3 publications

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Enhancing multiple sclerosis diagnosis: A comparative study of electroencephalogram signal processing and entropy methods

Aslan,

Akşahin

2025

Computers in Biology and Medicine

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Enhancing multiple sclerosis diagnosis: A comparative study of electroencephalogram signal processing and entropy methods

Aslan,

Akşahin

2025

Computers in Biology and Medicine

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Neuroimaging markers and disability scales in multiple sclerosis: A systematic review and meta-analysis

Mirmosayyeb,

Yazdan Panah,

Mokary

et al. 2024

PLoS ONE

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Background Multiple sclerosis (MS) is a central nervous system disorder marked by progressive neurological impairments. Magnetic resonance imaging (MRI) parameters are key paraclinical measures that play a crucial role in the diagnosis, prognosis, and monitoring of MS-related disability. This study aims to analyze and summarize the existing literature on the correlation between MRI parameters and disability in people with MS (pwMS). Methods The PubMed/MEDLINE, Embase, Scopus, and Web of Science databases were searched from inception to July 19, 2024, and a meta-analysis was carried out using R software version 4.4.0 and the random effects model used to determine the pooled correlation coefficient, with its 95% confidence interval (CI), between MRI measurements and disability scales. Results Among 5741 studies, 383 studies with 39707 pwMS were included. The meta-analysis demonstrated that Expanded Disability Status Scale (EDSS) had significant correlations with cervical cord volume (r = -0.51, 95% CI: -0.62 to -0.38, I2 = 0%, p-heterogeneity = 0.86, p-value<0.01), cortical lesion volume (r = 0.45, 95% CI: 0.36 to 0.53, I2 = 68%, p-heterogeneity<0.01, p-value<0.01), brain volume (r = -0.40, 95% CI: -0.47 to -0.33, I2 = 41%, p-heterogeneity = 0.05, p-value<0.05), and grey matter volume (GMV) (r = -0.36, 95% CI: -0.49 to -0.21, I2 = 0%, p-heterogeneity = 0.53, p-value<0.01), respectively. Conclusion This study offers evidence suggesting that cortical lesion volume, brain volume, GMV, and MRI measurements of the spinal cord may constitute reliable indicators for assessing disability in pwMS.

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Association of MicroRNA Expression and Serum Neurofilament Light Chain Levels with Clinical and Radiological Findings in Multiple Sclerosis

Domínguez-Mozo,

Casanova,

Monreal

et al. 2024

IJMS

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microRNAs (miRNAs) are promising biomarkers for many diseases, including multiple sclerosis (MS). The neurofilament light chain (NfL) is a biomarker that can detect axonal damage in different neurological diseases. The objective of this study was to evaluate the association of the expression profile of pre-selected miRNAs and NfL levels with clinical and radiological variables in MS patients. We conducted a 1-year longitudinal prospective study in MS patients with different clinical forms. We measured clinical disability using the expanded disability status scale (EDSS), the magnetic resonance imaging (MRI) volumetry baseline, and cognitive functioning using the processing speed test (PST) at baseline and 1 year later. Selected serum miRNAs and serum NfL (sNfL) levels were quantified. Seventy-three patients were recruited. MiR-126.3p correlated with EDSS and cognitive status at baseline and miR-126.3p and miR-9p correlated with cognitive deterioration at 1 year. Correlations with regional brain volumes were observed between miR-126.3p and the cortical gray matter, cerebellum, putamen, and pallidum; miR-146a.5p with the cerebellum and pallidum; miR-29b.3p with white matter and the pallidum; miR-138.5p with the pallidum; and miR-9.5p with the thalamus. sNfL was correlated with miR-9.5p. miR-146a.5p was also associated with the MS phenotype. These data justify future studies to further explore the utility of miRNAs (mirR-126.3p, miR-146.5p, and miR.9-5p) and sNfL levels as biomarkers of MS.

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MRI features and disability in multiple sclerosis: A systematic review and meta-analysis

Cited by 3 publications

References 158 publications

Enhancing multiple sclerosis diagnosis: A comparative study of electroencephalogram signal processing and entropy methods

Enhancing multiple sclerosis diagnosis: A comparative study of electroencephalogram signal processing and entropy methods

Neuroimaging markers and disability scales in multiple sclerosis: A systematic review and meta-analysis

Association of MicroRNA Expression and Serum Neurofilament Light Chain Levels with Clinical and Radiological Findings in Multiple Sclerosis

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