Related Experiment Video
Updated: Aug 28, 2025
A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia
Published on: September 16, 2017
High-resolution magnetic resonance imaging for predicting successful recanalization in patients with chronic internal
Xuan Zhang1, Chun Zhou2, Yue-Zhou Cao2
1Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China.
Insights
High-resolution MRI can predict recanalization success in chronic internal carotid artery occlusion (CICAO). Occlusions at the C6 segment or higher and nontapered stumps predict lower success rates.
Area of Science:
- Neurology
- Radiology
- Vascular Surgery
Background:
- Chronic internal carotid artery occlusion (CICAO) presents a significant challenge for endovascular recanalization.
- Predictive factors for successful recanalization remain an area of active investigation.
Purpose of the Study:
- To identify predictive factors using high-resolution magnetic resonance imaging (HR-MRI) for successful recanalization in patients with CICAO.
- To develop a predictive model for endovascular recanalization success in CICAO.
Main Methods:
- Retrospective analysis of 41 consecutive CICAO patients undergoing recanalization attempts.
- Collection and analysis of demographic, clinical, and HR-MRI data.
- Univariate and multivariate analyses to identify predictors; construction of a score-based prediction model.
Main Results:
- Technical success was achieved in 63.4% of patients (26/41), with a 12.2% complication rate.
- Multivariate analysis identified occlusions involving the C6 segment or higher (OR: 0.036) and nontapered stumps (OR: 0.064) as independent negative predictors.
- A prediction model showed success rates of 93.33% for 0 points, 66.67% for 1 point, and 0% for 2 points.
Conclusions:
- HR-MRI characteristics are valuable for selecting CICAO patients for endovascular recanalization.
- Occlusions at the C6 segment or higher and nontapered stumps are negative predictors of technical success.
- The developed score-based model can aid in predicting recanalization outcomes.
Objective:
The main aim of the study was to investigate the predictive factors of high-resolution magnetic resonance imaging (HR-MRI) for successful recanalization in patients with chronic internal carotid artery occlusion (CICAO).
Methods:
We included 41 consecutive patients who had CICAO and underwent recanalization attempts. The demographics, clinical data, and HR-MRI features in relation to the technique success were collected and analyzed using univariate and multivariate analyses. A score-based prediction model was constructed using a regression coefficient-based scoring method.
Results:
Technical success was achieved in 26 (63.4%) patients, with a complication rate of 12.2% (5/41). Based on multivariate analysis, occlusions involving ophthalmic artery segment (C6) or above (OR: 0.036; 95% confidence interval [CI]: 0.004-0.336) and nontapered stump (OR: 0.064; 95% CI: 0.007-0.591) were identified as independent negative predictors of successful recanalization in patients with CICAO. Point scores were assigned according to the model coefficients, and the patients who scored 0, 1, or 2 points had success rates of 93.33% (14/15), 66.67% (12/18), or 0% (0/8), respectively.
Conclusion:
HR-MRI characteristics may be valuable in identifying candidates for endovascular recanalization in patients with CICAO. Occlusions involving the C6 segment or higher, as well as nontapered stumps, were independent negative predictors of technical success.
