-
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
By calculating the determinant of the Jacobian matrix at each voxel, the local deformation obtained from the nonlinear transformation is used as a measure of tissue expansion or shrinkage.
diagnosis
Although the presence of frontotemporal atrophy on MRI increases the reliability of the diagnosis and has high specificity, it lacks sensitivity, especially in the initial stage of the disease, leading to erroneous or late diagnosis.
In this study, this paper developed a random forest classifier that uses the features of deformation-based morphometric (DBM) maps to identify bvFTD subjects from CNC.
A total of 515 subjects were examined in this study.
All subjects are regularly clinically evaluated by on-site investigators.
There was no difference in age between bvFTD patients and CNCs patients (62±6 years old and 63±6 years old, p=0.
Patients with bvFTD have large gray and white matter atrophy in the medial and inferior frontal cortex, dorsolateral prefrontal cortex, insula, basal ganglia, bilateral medial and anterior temporal areas, brainstem and cerebellum.
The research results show that structural magnetic resonance imaging and semantic fluency can accurately predict the individual level of bvFTD from different independent databases in a completely independent verification cohort.
Structural MRI and semantic fluency can accurately predict the individual level of bvFTD from different independent databases in a completely independent validation cohort.
Leave a message here
