Department of Cardiology, Erasmus MC, Rotterdam, The Netherlands.
Eur J Vasc Endovasc Surg. 2010 Jul;40(1):47-53. doi: 10.1016/j.ejvs.2010.02.017. Epub 2010 Mar 25.
Local anatomy and the patient's risk profile independently affect the expansion rate of an abdominal aortic aneurysm. We describe a hybrid method that combines finite element modelling and statistical methods to predict patient-specific aneurysm expansion.
The 3-D geometry of the aneurysm was imaged with computed tomography. We used finite element methods to calculate wall stress and aneurysm expansion. Expansion rate was adjusted by risk factors obtained from a database of 80 patients. Aneurysm diameters predicted with and without the risk profiles were compared with diameters measured with ultrasound for 11 patients.
For this specific group of patients, local anatomy contributed 62% and the risk profile 38% to the aneurysmal expansion rate. Predictions with risk profiles resulted in smaller root mean square errors than predictions without risk profiles (2.9 vs. 4.0 mm, p < 0.01).
This hybrid approach predicted aneurysmal expansion for a period of 30 months with high accuracy.
局部解剖结构和患者的风险状况会独立影响腹主动脉瘤的扩张速度。我们描述了一种混合方法，该方法结合了有限元建模和统计方法，以预测患者特定的动脉瘤扩张。
使用计算机断层扫描对动脉瘤的 3D 几何形状进行成像。我们使用有限元方法来计算壁应力和动脉瘤扩张。通过从 80 名患者的数据库中获得的风险因素来调整扩张率。将有和没有风险状况的预测直径与 11 名患者的超声测量直径进行比较。
对于这组特定的患者，局部解剖结构对动脉瘤扩张率的贡献为 62%，风险状况的贡献为 38%。有风险状况的预测比没有风险状况的预测产生的均方根误差更小（2.9 毫米对 4.0 毫米，p < 0.01）。
这种混合方法可以准确地预测 30 个月内的动脉瘤扩张。
