Relationship Between Corpus Callusom Index and Clinical Subtypes, Severity of Cognitive Disorders, and Disability in Multiple Sclerosis
Background: Brain magnetic resonance imaging (MRI) is crucial to determine the prognosis of multiple sclerosis (MS). The use of simple and accessible techniques that can be used for examining and managing the cognitive status and disability of patients with MS is one of the important concerns. This...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Shahid Beheshti University of Medical Sciences
2025-01-01
|
| Series: | Novelty in Biomedicine |
| Subjects: | |
| Online Access: | https://journals.sbmu.ac.ir/nbm/article/view/46320 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Background: Brain magnetic resonance imaging (MRI) is crucial to determine the prognosis of multiple sclerosis (MS). The use of simple and accessible techniques that can be used for examining and managing the cognitive status and disability of patients with MS is one of the important concerns. This study aimed to investigate the relationship between corpus callosum index in brain MRI and clinical subgroups of MS, severity of cognitive disorders, and disability in multiple sclerosis.
Materials and Methods: This cross-sectional study was conducted to determine the relationship between CCI and clinical subgroups of MS, the severity of cognitive disorders, and disability in patients with MS referred to Imam Hossein Hospital in 2020. The maximum length of the corpus callosum (anterior, posterior diameter) was measured, and the height of the corpus callosum was measured on a line perpendicular to its long axis. Corpus callosum index (CCI), symbol digit modalities test (SDMT), and expanded disability status scale (EDSS) were assessed in patients. A significance level of less than 0.05 was considered.
Results: A total of 85 patients with a mean age of 40.73 ± 8.45 years were assessed, and 65.9% were women. The CCI value was significantly lower in women (P-value: 0.001). The mean value of EDSS in all participants was 2.64±2.49. There was a statistically significant difference between the different subgroups of MS with the EDSS score, age of disease onset, SDMT score, CCI index, and mean disease duration (all P-values<0.05). There was a significant negative correlation between the CCI index and age (P:0.02, r:-0.24), duration of the disease (P:0.001, r:-0.38), EDSS (P:0.001, r:-0.71), while the correlation between SDMT and CCI was positive (P:0.001, r:0.67).
Conclusion: CCI is a quick and cost-beneficial parameter to evaluate cognitive disorders and disability in patients with MS. |
|---|---|
| ISSN: | 2345-3907 |