High-resolution MR vessel wall imaging in determining the stroke aetiology and risk stratification in isolated middle

V Tandon1, S Senthilvelan2, S E Sreedharan1

  • 1Comprehensive Stroke Care Program, Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, 695 011, Kerala, India.

Neuroradiology
|February 3, 2022
PubMed

Insights

High-resolution MR vessel wall imaging (HRVWI) helps differentiate stroke causes and identify high-risk plaques in intracranial atherosclerotic disease (ICAD). HRVWI characteristics are associated with recurrent ischemic events, aiding in stroke risk stratification.

Area of Science:

  • Neurology
  • Radiology
  • Cardiovascular Imaging

Background:

  • Intracranial circulation pathologies can cause ischemic stroke.
  • Differentiating vasculopathies is crucial for effective treatment.
  • High-resolution MR vessel wall imaging (HRVWI) offers detailed characterization of vessel walls.

Purpose of the Study:

  • To differentiate intracranial pathologies of the middle cerebral artery (MCA) in ischemic stroke patients.
  • To characterize high-risk plaques in intracranial atherosclerotic disease (ICAD) using HRVWI.
  • To assess the diagnostic and prognostic value of HRVWI in MCA disease.

Main Methods:

  • Patients with ≥50% MCA stenosis underwent 3T HRVWI within 2 weeks of ischemic stroke onset.
  • Analysis included vessel wall thickening, T1 signal, juxtaluminal hyperintensity, and enhancement patterns.
  • TOAST classification was performed before and after HRVWI, correlating imaging findings with 3-month recurrent ischemic events.

Main Results:

  • HRVWI significantly changed diagnosis in 36 patients (p=0.031).
  • ICAD was diagnosed in 23 patients, vasculitis in 8, and thrombus in 2.
  • Grade 2 enhancement (p=0.02) and type 2 wall thickening (p=0.03) in ICAD were associated with recurrent strokes.

Conclusions:

  • HRVWI is valuable for identifying stroke etiology.
  • HRVWI characteristics in ICAD aid in risk stratification for recurrent events.
  • This imaging technique improves diagnostic accuracy and patient management.
Abstract