改进机械支持参数预测工具插入引起的EVAR肾口移位

IF 2.2 4区 医学 Q3 ENGINEERING, BIOMEDICAL
Hussein Mozahem, Mathilde Chastre, Florent Lalys, Simon Esneault, Adrien Kaladji, Aline Bel-Brunon
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引用次数: 0

摘要

目的:提高血管内动脉瘤修复(EVAR)过程中血管结构变形的生物力学有限元模拟对肾口移位的预测。现有的有限元模型用于计算EVAR过程中工具插入引起的血管结构变形,该模型先前根据导丝位置的临床数据进行了验证,该模型将肾口移位与16例EVAR患者的临床术中数据进行了对比,这些患者在手术过程中出现了明显的口移位(从术前到术中配置平均垂直移位10.38 mm)。这产生了机械支撑参数化的更新。A评分量化了现有的和更新的参数对肾脏移位和髂动脉变形的预测性能。更新后的模型显示,EVAR期间肾口偏差的预测准确性显著提高。轴向平均位移误差由7.41 mm(先前参数化)提高到2.99 mm(更新参数化)。结果表明,这种新的参数化方法在不影响髂关节变形预测的情况下,提高了肾口移位模拟的预测性能。更新后的参数化显著提高了EVAR期间动脉变形的预测能力。更好的预测肾口移位可以显著改善手术计划和术中指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Improved Mechanical Support Parametrization to Predict the Renal Ostia Displacement Induced by Tools Insertion in EVAR

Improved Mechanical Support Parametrization to Predict the Renal Ostia Displacement Induced by Tools Insertion in EVAR

To improve the prediction of renal ostia displacement in biomechanical finite element simulations of the vascular structure deformation during endovascular aneurysm repair (EVAR). An existing finite element model to compute the deformation of the vascular structure due to tools insertion during EVAR, previously validated against clinical data in terms of guidewire position, is confronted in terms of renal ostia displacement to clinical intraoperative data from 16 patients undergoing EVAR and experiencing significant ostia displacement during the procedure (average vertical displacement of 10.38 mm from the preoperative to intraoperative configurations). This yields an update of the mechanical support parametrization. A score quantifies the predictive performance of the existing and updated parametrizations for both the renal displacement and the iliac arteries deformation. The updated model demonstrates a significant improvement in predictive accuracy for renal ostia deviation during EVAR. The axial mean displacement error is improved from 7.41 mm (previous parametrization) to 2.99 mm (updated parametrization). The score shows that this new parametrization improves the predictive performance of the simulation for the renal ostia displacement without compromising the iliac deformations prediction. The updated parametrization significantly enhances the predictive capability for arterial deformations during EVAR. A better prediction of the renal ostia displacement can significantly improve surgical planning and intraoperative guidance.

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来源期刊
International Journal for Numerical Methods in Biomedical Engineering
International Journal for Numerical Methods in Biomedical Engineering ENGINEERING, BIOMEDICAL-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.50
自引率
9.50%
发文量
103
审稿时长
3 months
期刊介绍: All differential equation based models for biomedical applications and their novel solutions (using either established numerical methods such as finite difference, finite element and finite volume methods or new numerical methods) are within the scope of this journal. Manuscripts with experimental and analytical themes are also welcome if a component of the paper deals with numerical methods. Special cases that may not involve differential equations such as image processing, meshing and artificial intelligence are within the scope. Any research that is broadly linked to the wellbeing of the human body, either directly or indirectly, is also within the scope of this journal.
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