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Updated: Jun 1, 2026

Evaluation of the Cognitive Performance of Hypertensive Patients with Silent Cerebrovascular Lesions
Published on: April 23, 2021
Periventricular and deep white matter leukoaraiosis have a closer association with cerebral microbleeds than age
1Department of Neurosurgery, Shiga Medical Center for Adults, Shiga, Japan. shigekiyamada3@nifty.com
Background:
Taking an advantage of the high sensitivity of 3D T2*-weighted gradient-recalled-echo (GRE) imaging to cerebral microbleeds, we investigated the relationship between cerebral microbleeds and leukoaraiosis.
Methods:
Participants aged 40 years or more have been evaluated for the presence of cerebral microbleeds using 3D T2*-GRE sequence since 2006. The severity of periventricular hyperintensity (PVH) and deep white matter hyperintensity (DWMH) on fluid attenuated inversion recovery images was assessed using Fazekas rating scales. Multivariate logistic regression analyses were conducted after adjustment for stroke subtype, age, PVH, DWMH, hypertension, dementia, and use of platelet aggregation inhibitors. Additionally, we examined the association between cerebral microbleeds and other covariates using a Pearson's correlation analysis.
Results:
Amongst 389 patients, 67 patients had a single microbleed and 93 had multiple microbleeds. The prevalence of microbleeds was 83% amongst 53 patients with intracerebral hemorrhage (ICH), 49% amongst 173 with infarction, and 20% amongst 163 without any type of stroke. In the multivariate analyses, the odds ratio (95% CIs) of microbleed detection was 10.1, (4.12-24.8) for ICH, 2.33 (1.12-4.85) for atherosclerotic infarction, 1.66 (1.10-2.48) for PVH, and 1.49 (1.02-2.19) for DWMH. In the Pearson's correlation analysis, cerebral microbleeds were closely related to PVH (Pearson's correlation coefficient; 0.48) and DWMH (0.37), compared with age (0.16).
Conclusions:
High-grade PVH, high-grade DWMH, ICH, and atherosclerotic infarction were significantly independent predictors for cerebral microbleeds. In addition, we found that the grades of PVH and DWMH have a closer association with the number of cerebral microbleeds than age.
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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