Radiological features on high-resolution MR imaging predicts successful recanalization in patients with symptomatic

Chun Zhou1, Yue-Zhou Cao1, Zhen-Yu Jia1

  • 1Department of Interventional Radiology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing 210029, China (C.Z., Y-Z.C., Z-Y.J., L-B.Z., H-B.S., S.L.).

Academic Radiology
|October 31, 2024
PubMed

Insights

High-resolution MRI can predict successful endovascular recanalization in symptomatic chronic intracranial large artery occlusion (CILAO). Key predictors include MCA trunk occlusion, residual lumen, plaque enhancement, and shorter occlusion length.

Area of Science:

  • Neurology
  • Interventional Radiology
  • Medical Imaging

Background:

  • Endovascular recanalization is used for symptomatic chronic intracranial large artery occlusion (CILAO).
  • Recanalization outcomes vary, posing challenges for clinical application.

Purpose of the Study:

  • To identify radiological features on high-resolution MRI (HR-MRI) that predict successful recanalization in symptomatic CILAO patients.
  • To develop a predictive model for endovascular recanalization success.

Main Methods:

  • Retrospective analysis of 73 patients with symptomatic CILAO undergoing endovascular recanalization.
  • Evaluation of clinical data, HR-MRI characteristics, procedural results, and outcomes.
  • Univariate and multivariate analyses to identify predictors of successful recanalization.

Main Results:

  • Technical success was achieved in 83.6% of patients.
  • Independent predictors of successful recanalization included MCA trunk occlusion, presence of residual lumen, marked plaque enhancement, and shorter occlusion length (≤10.2 mm).
  • A scoring system based on these predictors demonstrated increasing technical success rates with higher scores.

Conclusions:

  • HR-MRI is valuable for selecting candidates for endovascular recanalization in symptomatic CILAO.
  • MCA trunk occlusion, residual lumen, plaque enhancement, and shorter occlusion length on HR-MRI are significant predictors of successful recanalization.
Abstract