-
Categories
-
Pharmaceutical Intermediates
-
Active Pharmaceutical Ingredients
-
Food Additives
- Industrial Coatings
- Agrochemicals
- Dyes and Pigments
- Surfactant
- Flavors and Fragrances
- Chemical Reagents
- Catalyst and Auxiliary
- Natural Products
- Inorganic Chemistry
-
Organic Chemistry
-
Biochemical Engineering
- Analytical Chemistry
-
Cosmetic Ingredient
- Water Treatment Chemical
-
Pharmaceutical Intermediates
Promotion
ECHEMI Mall
Wholesale
Weekly Price
Exhibition
News
-
Trade Service
Spinal cord injury is one of the important causes of long-term disability in patients with multiple sclerosis (MS)
.
MRI can evaluate MS in the spinal cord in the different injury occurred, including lesions, atrophy and directly or indirectly failure secondary to old and other neurodegenerative phenomena corresponding changes
Spinal cord injury is one of the important causes of long-term disability in patients with multiple sclerosis (MS)
In terms of pathology, a previous study showed that the burden of cervical spinal cord pathology in
Recently, a study published in the journal Radiology assessed the MRI features of cervical spinal cord injury in MS patients using comprehensive multi-parameter MRI technology , and explored the most accurate predictors of disability and disease course in these patients
In MS patients, multivariate analysis found that phenotype, cervical spinal gray matter (GM) cross-sectional area (CSA), lateral cord anisotropy score (FA) and brain tissue GM volume were independent predictors of EDSS score (R 2= 0.
86 )
.
RRMS in EDSS score is an independent predictor of lateral FA, the standard of the brain and spinal cord capacity GM T2 lesion volume (R & lt 2= 0.
In MS patients, multivariate analysis found that phenotype, cervical spinal gray matter (GM) cross-sectional area (CSA), lateral cord anisotropy score (FA), and brain tissue GM volume were independent predictors of EDSS score.
Table 1 Correlation between MRI variables and EDSS score within the group
.
.
Figure univariate analysis shows the relationship between MRI variables and EDSS
.
The main MRI variables and relapsing-remitting multiple sclerosis (RRMS) (blue), progressive multiple sclerosis (PMS) (red) and all multiple sclerosis (MS) (phenotype unadjusted, gray) were selected using a multivariate model Dotted line) the correlation of the patient's EDSS score (a linear model adjusted for age and gender)
Figure univariate analysis shows the relationship between MRI variables and EDSS
This study shows that the introduction of cervical spinal cord MRI plays a central role in the characterization and interpretation of the clinical manifestations and disease progression of multiple sclerosis (MS): the damage-induced lateral cord and gray matter in relapsing-remitting multiple sclerosis (RRMS) ( GM) injury and GM atrophy in patients with progressive multiple sclerosis (PMS) are the most valuable related variables
Original source:
Raffaello Bonacchi , Elisabetta Pagani , Alessandro Meani , et al.
Bonacchi Raffaello is , Elisabetta Pagani , Alessandro Meani , et Al.
Clinical Relevance of the MRI Multiparametric Cervical Cord Damage Assessment of Multiple Sclerosis in .
The DOI: 10.
1148 / radiol.
2020200430 10.
1148 / radiol.
2020200430 in this message