White matter hyperintensities and the risk of vascular dementia: a systematic review and meta-analysis

Wei Luo1,2, Zhiqiang Dai3, Wenjing Wu1,2

  • 1Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.

Peerj
|June 20, 2025
PubMed
Abstract

Insights

Vascular dementia (VaD) patients show significantly higher white matter hyperintensities (WMH) volumes on MRI compared to other cognitive impairment groups. This highlights the role of cerebrovascular pathology in VaD development and diagnosis.

Area of Science:

  • Neurology
  • Radiology
  • Gerontology

Background:

  • White matter hyperintensities (WMH) on MRI indicate cerebral small vessel diseases.
  • WMH are linked to cognitive impairment and cerebrovascular pathology, potentially contributing to vascular dementia (VaD).
  • The precise association between WMH burden and VaD severity requires further clarification.

Purpose of the Study:

  • To quantify the relationship between white matter hyperintensity volume and vascular dementia severity.
  • To elucidate the role of white matter hyperintensities in the pathogenesis of vascular dementia.

Main Methods:

  • A systematic literature search identified 15 studies with 4,061 patients.
  • Meta-analysis compared WMH volumes in vascular dementia (VaD) patients versus non-cognitively impaired (NCI), cognitively impaired no dementia (CIND), and Alzheimer's disease (AD) groups.
  • Brain MRI was used to assess WMH volumes and levels.

Main Results:

  • Patients with VaD exhibited significantly higher white matter hyperintensity volumes compared to NCI, CIND, and AD groups.
  • WMH correlated with cerebrovascular pathology; irregular and periventricular WMHs were more specific to VaD.
  • Sensitivity analyses and statistical tests indicated potential publication bias.

Conclusions:

  • Greater WMH burden in VaD patients reinforces the significance of cerebrovascular pathology.
  • Standardized imaging, multi-modal biomarkers, and predictive models are crucial for early VaD diagnosis and treatment.
  • These findings support targeted therapeutic strategies for vascular dementia.