Quantitative Susceptibility Mapping Values Quantification in Deep Gray Matter Structures for Relapsing‐Remitting Multiple Sclerosis: A Systematic Review and Meta‐Analysis DOI Creative Commons
Sana Mohammadi, Sadegh Ghaderi, Farzad Fatehi

et al.

Brain and Behavior, Journal Year: 2024, Volume and Issue: 14(10)

Published: Oct. 1, 2024

ABSTRACT Background/Objectives This systematic review and meta‐analysis aimed to investigate the role of magnetic susceptibility (χ) in deep gray matter (DGM) structures, including putamen (PUT), globus pallidus (GP), caudate nucleus (CN), thalamus, most common types multiple sclerosis (MS) relapsing‐remitting MS (RRMS), using quantitative mapping (QSM). Methods The literature was systematically reviewed up November 2023, adhering PRISMA guidelines. study conducted a random‐effects model calculate standardized mean difference (SMD) QSM values between patients with RRMS healthy controls (HCs). Publication bias risk were also assessed. Results Nine studies involving 1074 640 HCs included meta‐analysis. results showed significantly higher PUT (SMD = 0.40, 95% confidence interval [CI] 0.22–0.59, p .000), GP 0.60, CI 0.50–0.70, .00), CN 0.15–0.66, .005) compared HCs. However, there no significant differences thalamus −0.33, −0.67–0.01, .026). Age‐ sex‐based subgroup analysis demonstrated that younger (< 40 years) PUT, GP, groups larger male populations (> 25%) had more χ. Interestingly, thalamic found decrease over years age populations. Sex‐based indicated iron levels regardless sex. certain brain regions (PUT, CN) during early stages (disease duration < 9.6 RRMS, but lower later > than Discussion/Conclusion may serve as biomarker for understanding χ value alterations such dysregulation its contribution neurodegeneration especially basal ganglia nuclei CN.

Language: Английский

Diffusion tensor imaging biomarkers and clinical assessments in ALS patients: An exploratory study DOI Open Access
Saharnaz Pezeshgi, Sadegh Ghaderi, Sana Mohammadi

et al.

Annals of Medicine and Surgery, Journal Year: 2024, Volume and Issue: unknown

Published: July 22, 2024

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized by progressive loss of upper and lower motor neurons. Biomarkers are needed to improve diagnosis, gauge progression, evaluate treatment. Diffusion tensor imaging (DTI) promising biomarker for detecting microstructural alterations in the white matter tracts. This study aimed assess DTI metrics as biomarkers examine their relationship with clinical assessments patients ALS. Eleven ALS 21 healthy controls (HCs) underwent 3T MRI DTI. metrics, including fractional anisotropy (FA), mean diffusivity (MD), radial (RD), axial (AD), were compared between key extra-motor tract groups. Group comparisons correlations also correlated scores disability (ALSFRS-R), muscle strength (dynamometry), unit (MUNIX). Widespread differences found HCs decreased FA increased metrics. However, MD RD more sensitive changes Significant interhemispheric observed. showed symmetry hemispheres assessments. MD, RD, AD increases significantly ALSFRS-R MUNIX weaker dynamometry results. reveals damage along regions patients. can serve quantitative neuroimaging prognosis, monitoring Combined analysis imaging, electrodiagnostic, functional shows potential characterizing pathophysiology progression.

Language: Английский

Citations

1
Quantitative Susceptibility Mapping Values Quantification in Deep Gray Matter Structures for Relapsing‐Remitting Multiple Sclerosis: A Systematic Review and Meta‐Analysis DOI Creative Commons
Sana Mohammadi, Sadegh Ghaderi, Farzad Fatehi

et al.

Brain and Behavior, Journal Year: 2024, Volume and Issue: 14(10)

Published: Oct. 1, 2024

ABSTRACT Background/Objectives This systematic review and meta‐analysis aimed to investigate the role of magnetic susceptibility (χ) in deep gray matter (DGM) structures, including putamen (PUT), globus pallidus (GP), caudate nucleus (CN), thalamus, most common types multiple sclerosis (MS) relapsing‐remitting MS (RRMS), using quantitative mapping (QSM). Methods The literature was systematically reviewed up November 2023, adhering PRISMA guidelines. study conducted a random‐effects model calculate standardized mean difference (SMD) QSM values between patients with RRMS healthy controls (HCs). Publication bias risk were also assessed. Results Nine studies involving 1074 640 HCs included meta‐analysis. results showed significantly higher PUT (SMD = 0.40, 95% confidence interval [CI] 0.22–0.59, p .000), GP 0.60, CI 0.50–0.70, .00), CN 0.15–0.66, .005) compared HCs. However, there no significant differences thalamus −0.33, −0.67–0.01, .026). Age‐ sex‐based subgroup analysis demonstrated that younger (< 40 years) PUT, GP, groups larger male populations (> 25%) had more χ. Interestingly, thalamic found decrease over years age populations. Sex‐based indicated iron levels regardless sex. certain brain regions (PUT, CN) during early stages (disease duration < 9.6 RRMS, but lower later > than Discussion/Conclusion may serve as biomarker for understanding χ value alterations such dysregulation its contribution neurodegeneration especially basal ganglia nuclei CN.

Language: Английский

Citations

1