• Profile
Close

Predicting dementia in cerebral small vessel disease using an automatic diffusion tensor image segmentation technique

Stroke Sep 19, 2019

Williams OA, Zeestraten EA, Benjamin P, et al. - Because 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, researchers investigated the extent to which diffusion tensor image segmentation technique (DSEG) anticipates both degree of cognitive decline and conversion to dementia, thus providing a useful prognostic procedure. For this investigation, 99 SVD patients (aged 43 to 89 years) had annual MRI scanning (for 3 years) and cognitive assessment (for 5 years). DSEG-θ was employed as a whole-cerebrum measure of SVD severity. According to results, DSEG-θ was significantly associated with decline in executive function and global cognition. Findings suggested that DSEG is a fully automatic technique that offers a precise method for evaluating brain microstructural damage in SVD from a single imaging modality (diffusion tensor imaging). DSEG-θ is an important tool for identifying patients with increased risk of developing dementia with SVD and has potential as a clinical marker of severity of SVD.
Go to Original
Only Doctors with an M3 India account can read this article. Sign up for free or login with your existing account.
4 reasons why Doctors love M3 India
  • Exclusive Write-ups & Webinars by KOLs

  • Nonloggedininfinity icon
    Daily Quiz by specialty
  • Nonloggedinlock icon
    Paid Market Research Surveys
  • Case discussions, News & Journals' summaries
Sign-up / Log In
x
M3 app logo
Choose easy access to M3 India from your mobile!


M3 instruc arrow
Add M3 India to your Home screen
Tap  Chrome menu  and select "Add to Home screen" to pin the M3 India App to your Home screen
Okay