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Different distribution patterns of cerebral microbleeds in acute ischemic stroke patients with and without

Jian Sun1, Yannie Oi Yan Soo, Wynnie Wai Man Lam

  • 1State Key Laboratory of Oncology in Southern China, Cancer Center, Sun Yat-Sen University, Guangzhou, PR China.

European Neurology
|September 5, 2009
PubMed
Abstract

Insights

Cerebral microbleeds (CMBs) distribution differs between hypertensive and normotensive patients. Systolic blood pressure predicts CMBs in those without hypertension, highlighting the importance of blood pressure control.

Area of Science:

  • Neurology
  • Radiology
  • Cardiology

Background:

  • Cerebral microbleeds (CMBs) are observed in both hypertensive and normotensive individuals.
  • Understanding the distribution patterns of CMBs is crucial for diagnosing and managing neurological conditions.

Purpose of the Study:

  • To investigate and compare the distribution patterns of cerebral microbleeds (CMBs) in patients with and without hypertension.
  • To identify predictors of CMBs in normotensive patients.

Main Methods:

  • Utilized a standardized MRI protocol including T(1), T(2), and gradient-echo T(2)* sequences.
  • Collected clinical and imaging characteristics from 998 acute ischemic stroke patients.

Main Results:

  • CMBs were detected in 27.3% of patients (273/998).
  • The incidence of CMBs was lower in normotensive patients (18.5%) compared to hypertensive patients (31.8%).
  • CMBs were more frequently located in the cortical-subcortical region in normotensive patients (40.3%) versus hypertensive patients (20.4%).
  • White matter changes and admission systolic blood pressure independently predicted CMBs in normotensive patients.

Conclusions:

  • Cerebral microbleeds exhibit distinct distribution patterns in hypertensive versus normotensive individuals, suggesting different underlying pathogenetic mechanisms.
  • Effective blood pressure management is essential for both groups, as systolic blood pressure is a significant predictor of CMBs in normotensive patients.

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