Radiological features on high-resolution MR imaging predicts successful recanalization in patients with symptomatic chronic intracranial large artery occlusion.

Rationale and Objectives: Endovascular recanalization has been attempted in patients with symptomatic chronic intracranial large artery occlusion (CILAO), however, the heterogeneity of recanalization outcomes present challenges for the clinical application.
Objective: To determine the radiological features on high-resolution MR imaging (HR-MRI) for predicting successful recanalization of symptomatic CILAO.
Methods: Seventy-three patients with symptomatic CILAO who underwent endovascular recanalization at our center were retrospectively analyzed. Patients' clinical information, HR-MRI characteristics, procedural results, and outcomes were recorded. Factors related to successful recanalization were analyzed by univariate and multivariate analyses.
Results: Technical success was achieved in 61 (83.6%) patients, with a complication rate of 13.7% (10/73). Based on multivariate analysis, responsible occluded artery (middle cerebral artery (MCA) trunk versus intracranial internal carotid artery (ICA), P = 0.004; MCA trunk versus intracranial vertebrobasilar artery (VBA), P = 0.010), occlusion with residual lumen (P = 0.036), occlusion with marked plaque enhancement (P = 0.011), and shorter occlusion length (≤10.2 mm versus >10.2 mm, P = 0.008) were identified as independent positive predictors of successful recanalization. Patients were assigned score points according to the coefficients of the prediction model, and the technical success rates were 50.0%, 83.3%, 95.5%, and 100% in patients with score ≤ 2, 3, 4, and ≥ 5 points, respectively.
Conclusions: The HR-MRI modality may be valuable in identifying candidates for endovascular recanalization of symptomatic CILAO. MCA trunk occlusion, occlusion with residual lumen, occlusion with marked plaque enhancement and shorter occlusion length on HR-MRI appear to be significantly associated with the success of recanalization.
Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.)