Galloy Adam E, Raghuram Ashrita, Nino Marco A, Varon Miller Alberto, Sabotin Ryan, Osorno-Cruz Carlos, Samaniego Edgar A, Raghavan Suresh M L, Hasan David
Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, IA, United States.
Department of Neurology, The University of Iowa Hospitals and Clinics, University of Iowa, Iowa City, IA, United States.
Front Neurol. 2021 Dec 10;12:764063. doi: 10.3389/fneur.2021.764063. eCollection 2021.
Biomechanical computational simulation of intracranial aneurysms has become a promising method for predicting features of instability leading to aneurysm growth and rupture. Hemodynamic analysis of aneurysm behavior has helped investigate the complex relationship between features of aneurysm shape, morphology, flow patterns, and the proliferation or degradation of the aneurysm wall. Finite element analysis paired with high-resolution vessel wall imaging can provide more insight into how exactly aneurysm morphology relates to wall behavior, and whether wall enhancement can describe this phenomenon. In a retrospective analysis of 23 unruptured aneurysms, finite element analysis was conducted using an isotropic, homogenous third order polynomial material model. Aneurysm wall enhancement was quantified on 2D multiplanar views, with 14 aneurysms classified as enhancing (CR≥0.6) and nine classified as non-enhancing. Enhancing aneurysms had a significantly higher 95th percentile wall tension (μ = 0.77 N/cm) compared to non-enhancing aneurysms (μ = 0.42 N/cm, < 0.001). Wall enhancement remained a significant predictor of wall tension while accounting for the effects of aneurysm size ( = 0.046). In a qualitative comparison, low wall tension areas concentrated around aneurysm blebs. Aneurysms with irregular morphologies may show increased areas of low wall tension. The biological implications of finite element analysis in intracranial aneurysms are still unclear but may provide further insights into the complex process of bleb formation and aneurysm rupture.
颅内动脉瘤的生物力学计算模拟已成为预测导致动脉瘤生长和破裂的不稳定性特征的一种有前景的方法。对动脉瘤行为的血流动力学分析有助于研究动脉瘤形状、形态、血流模式与动脉瘤壁增殖或退化特征之间的复杂关系。有限元分析与高分辨率血管壁成像相结合,可以更深入地了解动脉瘤形态与壁行为之间的确切关系,以及壁强化是否能描述这一现象。在对23个未破裂动脉瘤的回顾性分析中,使用各向同性、均匀的三阶多项式材料模型进行了有限元分析。在二维多平面视图上对动脉瘤壁强化进行量化,14个动脉瘤被分类为强化型(CR≥0.6),9个被分类为非强化型。与非强化型动脉瘤(μ = 0.42 N/cm,<0.001)相比,强化型动脉瘤的第95百分位壁张力显著更高(μ = 0.77 N/cm)。在考虑动脉瘤大小的影响时,壁强化仍然是壁张力的显著预测因素(= 0.046)。在定性比较中,低壁张力区域集中在动脉瘤小泡周围。形态不规则的动脉瘤可能显示出低壁张力区域增加。有限元分析在颅内动脉瘤中的生物学意义仍不清楚,但可能为小泡形成和动脉瘤破裂的复杂过程提供进一步的见解。