Vander Linden Klaas, Vanderveken Emma, Van Hoof Lucas, Maes Lauranne, Fehervary Heleen, Dreesen Silke, Hendrickx Amber, Verbrugghe Peter, Rega Filip, Meuris Bart, Famaey Nele
Department of Mechanical Engineering, KU Leuven, Leuven, Belgium.
Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium.
JTCVS Open. 2023 Sep 16;16:66-83. doi: 10.1016/j.xjon.2023.09.008. eCollection 2023 Dec.
Rupture and dissection are feared complications of ascending thoracic aortic aneurysms caused by mechanical failure of the wall. The current method of using the aortic diameter to predict the risk of wall failure and to determine the need for surgical resection lacks accuracy. Therefore, this study aims to identify reliable and clinically measurable predictors for aneurysm rupture or dissection by performing a personalized failure risk analysis, including clinical, geometrical, histologic, and mechanical data.
The study cohort consisted of 33 patients diagnosed with ascending aortic aneurysms without genetic syndromes. Uniaxial tensile tests until failure were performed to determine the wall strength. Material parameters were fitted against ex vivo planar biaxial data and in vivo pressure-diameter relationships at diastole and systole, which were derived from multiphasic computed tomography (CT) scans. Using the resulting material properties and in vivo data, the maximal in vivo stress at systole was calculated, assuming a thin-walled axisymmetric geometry. The retrospective failure risk was calculated by comparing the peak wall stress at suprasystolic pressure with the wall strength.
The distensibility coefficient, reflecting aortic compliance and derived from blood pressure measurements and multiphasic CT scans, outperformed predictors solely based on geometrical features in assessing the risk of aneurysm failure.
In a clinical setting, multiphasic CT scans followed by the calculation of the distensibility coefficient are of added benefit in patient-specific, clinical decision-making. The distensibility derived from the aneurysm volume change has the best predictive power, as it also takes the axial stretch into account.
破裂和夹层是升主动脉瘤因血管壁机械功能衰竭而引发的令人担忧的并发症。目前使用主动脉直径来预测血管壁衰竭风险并确定是否需要手术切除的方法缺乏准确性。因此,本研究旨在通过进行个性化的衰竭风险分析,包括临床、几何、组织学和力学数据,来确定动脉瘤破裂或夹层的可靠且可临床测量的预测指标。
研究队列包括33例被诊断为无遗传综合征的升主动脉瘤患者。进行单轴拉伸试验直至失效以确定血管壁强度。根据体外平面双轴数据以及舒张期和收缩期的体内压力 - 直径关系(这些数据来自多期计算机断层扫描(CT))拟合材料参数。利用所得材料特性和体内数据,假设为薄壁轴对称几何形状,计算收缩期的最大体内应力。通过比较超收缩压时的峰值壁应力与血管壁强度来计算回顾性衰竭风险。
反映主动脉顺应性且源自血压测量和多期CT扫描的扩张系数,在评估动脉瘤衰竭风险方面优于仅基于几何特征的预测指标。
在临床环境中,多期CT扫描并随后计算扩张系数在针对患者的临床决策中具有额外的益处。由动脉瘤体积变化得出的扩张性具有最佳预测能力,因为它还考虑了轴向拉伸。