Gindre Juliette, Bel-Brunon Aline, Kaladji Adrien, Duménil Aurélien, Rochette Michel, Lucas Antoine, Haigron Pascal, Combescure Alain
Université de Lyon, Lyon, F-69000, France.
LaMCoS CNRS UMR5259, INSA-Lyon, Villeurbanne, F-69621, France.
Int J Numer Method Biomed Eng. 2015 Jul;31(7):e02716. doi: 10.1002/cnm.2716. Epub 2015 Apr 28.
Deformations of the vascular structure due to the insertion of tools during endovascular treatment of aneurysms of the abdominal aorta, unless properly anticipated during the preoperative planning phase, may be the source of intraoperative or postoperative complications. We propose here an explicit finite element simulation method which enables one to predict such deformations. This method is based on a mechanical model of the vascular structure which takes into account the nonlinear behavior of the arterial wall, the prestressing effect induced by the blood pressure and the mechanical support of the surrounding organs and structures. An analysis of the model sensitivity to the parameters used to represent this environment is done. This allows determining the parameters that have the largest influence on the quality of the prediction and also provides realistic values for each of them as no experimental data are available in the literature. Moreover, for the first time, the results are compared with 3D intraoperative data. This is done for a patient-specific case with a complex anatomy in order to assess the feasibility of the method. Finally, the predictive capability of the simulation is evaluated on a group of nine patients. The error between the final simulated and intraoperatively measured tool positions was 2.1 mm after the calibration phase on one patient. It results in a 4.6 ± 2.5 mm in average error for the blind evaluation on nine patients.
在腹主动脉瘤血管内治疗过程中,由于工具的插入导致血管结构变形,除非在术前规划阶段得到妥善预测,否则可能成为术中或术后并发症的根源。我们在此提出一种显式有限元模拟方法,该方法能够预测此类变形。此方法基于血管结构的力学模型,该模型考虑了动脉壁的非线性行为、血压引起的预应力效应以及周围器官和结构的机械支撑。对用于表示该环境的参数进行了模型敏感性分析。这有助于确定对预测质量影响最大的参数,并为每个参数提供实际值,因为文献中没有可用的实验数据。此外,首次将结果与三维术中数据进行比较。针对具有复杂解剖结构的特定患者病例进行此操作,以评估该方法的可行性。最后,在一组九名患者中评估模拟的预测能力。在对一名患者进行校准阶段后,最终模拟的工具位置与术中测量的工具位置之间的误差为2.1毫米。对九名患者进行盲评估时,平均误差为4.6±2.5毫米。