Predicting Dementia in Cerebral Small Vessel Disease Using an Automatic Diffusion Tensor Image Segmentation Technique.
brain
cerebral small vessel disease
cerebrum
cognition
cognitive dysfunction
dementia
diffusion tensor imaging
Journal
Stroke
ISSN: 1524-4628
Titre abrégé: Stroke
Pays: United States
ID NLM: 0235266
Informations de publication
Date de publication:
10 2019
10 2019
Historique:
pubmed:
13
9
2019
medline:
21
3
2020
entrez:
13
9
2019
Statut:
ppublish
Résumé
Background and Purpose- Cerebral small vessel disease (SVD) is the most common cause of vascular cognitive impairment, with a significant proportion of cases going on to develop dementia. We explore the extent to which diffusion tensor image segmentation technique (DSEG; which characterizes microstructural damage across the cerebrum) predicts both degree of cognitive decline and conversion to dementia, and hence may provide a useful prognostic procedure. Methods- Ninety-nine SVD patients (aged 43-89 years) underwent annual magnetic resonance imaging scanning (for 3 years) and cognitive assessment (for 5 years). DSEG-
Identifiants
pubmed: 31510902
doi: 10.1161/STROKEAHA.119.025843
pmc: PMC6756294
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
2775-2782Subventions
Organisme : Medical Research Council
ID : MR/R006504/1
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 081589
Pays : United Kingdom
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