Clinical outcome prediction of Contour Neurovascular System treatment based on pre-treatment geometric and hemodynamic characteristics

Vollständiger Abstract

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Abstract Purpose The contour neurovascular system (CNS) is increasingly used for endovascular treatment of intracranial aneurysms, but outcome and post-treatment device behavior vary between patients. This study investigated whether pre-treatment geometric and hemodynamic characteristics from image-based blood flow simulations are associated with clinical outcome and follow-up CNS shape modifications. Methods Pre-treatment vascular geometries and blood flow simulations were analyzed in 39 CNS-treated cases. Geometric, hemodynamic, and ostium-flow clustering features were extracted, followed by global feature thinning to reduce redundancy. Associations with binary clinical outcome and follow-up shape modifications (SM1–SM3) were assessed using nonparametric univariate statistics with false discovery rate correction. Exploratory outcome discrimination was evaluated using a support vector machine classifier. Results Aneurysm geometry showed the strongest association with clinical outcome. Smaller dome and ostium areas were associated with positive outcome (Cliff’s δ = − 0.57 and − 0.43), while hemodynamic parameters showed weaker but directionally consistent trends, including lower peak outflow velocity, and reduced inflow intensity. Shape-modification patterns differed across deformation classes. SM1 and SM2 showed no FDR-significant features but moderate effects for aneurysm geometry and selected hemodynamic metrics. SM3 showed the strongest associations with oscillatory flow characteristics ( δ ≈ 0.56–0.57) and peripheral outflow dominance. Exploratory machine learning showed limited, non-significant outcome discrimination (mean AUC = 0.57), with selected features consistent with univariate findings. Conclusion Pre-treatment geometric and hemodynamic characteristics are linked not only to clinical outcome but also to post-treatment CNS shape modifications. By linking pre-operative flow conditions to follow-up device behavior, this study improves the understanding of hemodynamic factors associated with CNS shape modifications and suggests that simulation-based analysis may support future patient-specific treatment planning using exclusively pre-operative data.