Identification of embolic stroke patterns by diffusion-weighted MRI in clinically defined lacunar stroke syndromes

Tiemo Wessels1, Carina Röttger, Marek Jauss

  • 1Department of Neurology, Justus-Liebig-University of Giessen, Germany. tiemo.wessels@neuro.med.uni-giessen.de

Stroke
|March 5, 2005
PubMed
Abstract

Insights

Diffusion-weighted MRI (DWI) improves lacunar stroke diagnosis. Relying solely on clinical or CT findings leads to misdiagnosis in about one-third of cases, often due to large artery or cardiac embolism.

Area of Science:

  • Neurology
  • Radiology
  • Stroke Medicine

Background:

  • Lacunar syndromes are clinical presentations of deep brain infarcts, often attributed to small vessel occlusion (SVO).
  • The diagnostic accuracy of clinical assessment for lacunar syndrome has been questioned.

Purpose of the Study:

  • To evaluate the reliability of clinical diagnosis of lacunar syndrome using diffusion-weighted magnetic resonance imaging (DWI).
  • To determine the accuracy of DWI in differentiating stroke mechanisms in patients presenting with lacunar syndromes.

Main Methods:

  • Seventy-three patients with classical lacunar syndrome were enrolled.
  • Diffusion-weighted MRI (DWI) was used to assess infarcts and categorize patients into three groups based on lesion characteristics.
  • Further work-up included cardiac evaluation and duplex sonography to identify stroke mechanisms beyond SVO.

Main Results:

  • DWI identified stroke mechanisms other than SVO in 40% of patients.
  • Cardiac embolism was identified in 11% and symptomatic stenosis in 12% of patients.
  • A significant correlation was found between multiple DWI lesions and an embolic source (P=0.002).

Conclusions:

  • Diffusion-weighted MRI (DWI) enhances the accuracy of stroke subtype diagnosis.
  • Clinical diagnosis alone, or with computed tomography (CT), may lead to misdiagnosis in approximately one-third of lacunar syndrome cases.
  • Misdiagnosed cases are frequently due to large artery or cardiogenic embolic strokes.