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  • Stratification of Recanalization for Patients with Endovascular Treatment of Intracranial Aneurysms

    Final Number:

    Christopher S. Ogilvy MD; Michelle Chua BS; Matthew Fusco MD; Suresh A Reddy MD; Ajith J. Thomas MD

    Study Design:

    Subject Category:
    Aneurysm/Subarachnoid Hemorrhage

    Meeting: AANS/CNS Cerebrovascular Section 2015 Annual Meeting

    Introduction: With increasing utilization of endovascular techniques in the treatment of both ruptured and unruptured intracranial aneurysms, the issue of obliteration efficacy has become increasingly important. Our goal was to systematically develop a comprehensive model for predicting retreatment with various types of endovascular treatment.

    Methods: We retrospectively reviewed medical records that were prospectively collected for 305 patients who received endovascular treatment for intracranial aneurysms from 2007 to 2013. Multivariable logistic regression was performed on candidate predictors identified by univariable screening analysis to detect independent predictors of retreatment. A composite risk score was constructed based on the proportional contribution of independent predictors in the multivariable model.

    Results: Size (>10 mm), aneurysm rupture, stent assistance, and post-treatment degree of aneurysm occlusion were independently associated with retreatment while intraluminal thrombosis and flow diversion demonstrated a trend towards retreatment. The Aneurysm Recanalization Stratification Scale was constructed by assigning the following weights to statistically and clinically significant predictors. Aneurysm-specific factors: Size (>10 mm), 2 points; rupture, 2 points; presence of thrombus, 2 points. Treatment-related fatctors: Stent assistance, -1 point; flow diversion, -2 points; Raymond Roy 2 occlusion, 1 point; Raymond Roy 3 occlusion, 2 points. This scale demonstrated good discrimination with a C-statistic of 0.799.

    Conclusions: Surgical decision-making and patient-centered informed consent require comprehensive and accessible information on treatment efficacy. We have constructed the Aneurysm Recanalization Stratification Scale to enhance this decision-making process. This is the first comprehensive model that has been developed to quantitatively predict the risk of retreatment following endovascular therapy.

    Patient Care: Our research has the potential to enhance surgical decision-making and patient-centered informed consent by allowing endovascular providers to better predict the chance of recanalization and retreatment after endovascular therapy.

    Learning Objectives: By the conclusion of this session, participants should be able to identify factors that enhance the chance recanalization of aneurysms treated with endovascular techniques and factors that minimize the chance of recanalization.


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