Periventricular and deep white matter leukoaraiosis have a closer association with cerebral microbleeds than age

S Yamada1, M Saiki, T Satow

  • 1Department of Neurosurgery, Shiga Medical Center for Adults, Shiga, Japan. shigekiyamada3@nifty.com

Abstract

Insights

Cerebral microbleeds are strongly linked to white matter changes and stroke types. Higher grades of periventricular hyperintensity and deep white matter hyperintensity are closer predictors of microbleeds than age.

Area of Science:

  • Neurology
  • Radiology
  • Neuroimaging

Background:

  • Cerebral microbleeds (CMBs) are sensitive markers detected by 3D T2*-weighted gradient-recalled-echo (GRE) imaging.
  • Investigated the association between CMBs and leukoaraiosis (white matter changes).

Purpose of the Study:

  • To explore the relationship between cerebral microbleeds and leukoaraiosis.
  • To identify predictors of cerebral microbleeds.

Main Methods:

  • Utilized 3D T2*-GRE MRI sequences for CMB detection in participants aged 40+.
  • Assessed periventricular hyperintensity (PVH) and deep white matter hyperintensity (DWMH) using Fazekas scales on FLAIR images.
  • Conducted multivariate logistic regression and Pearson's correlation analyses.

Main Results:

  • Prevalence of microbleeds was 83% in intracerebral hemorrhage (ICH), 49% in infarction, and 20% in controls.
  • Independent predictors for CMBs included ICH (OR 10.1), atherosclerotic infarction (OR 2.33), PVH (OR 1.66), and DWMH (OR 1.49).
  • CMBs showed stronger correlations with PVH (r=0.48) and DWMH (r=0.37) than with age (r=0.16).

Conclusions:

  • High-grade PVH, high-grade DWMH, ICH, and atherosclerotic infarction are significant independent predictors of cerebral microbleeds.
  • The severity of PVH and DWMH is more closely associated with the number of cerebral microbleeds than chronological age.

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