Department of Mechanical and Aerospace Engineering, University of Strathclyde, 75 Montrose Street, Glasgow, G1 1XJ, UK.
Sci Rep. 2019 Nov 22;9(1):17379. doi: 10.1038/s41598-019-53820-z.
The abdominal aortic aneurysm (AAA) anatomy influences the technical success of the endovascular aneurysm repair (EVAR), yet very few data regarding the aortic tree angles exist in the literature. This poses great limitations in the numerical analyses of endografts, constraining their design improvement as well as the identification of their operational limitations. In this study, a matrix Φ of 10 angles was constructed for the description of the pathological region and was implemented on a large dataset of anatomies. More specifically, computed tomography angiographies from 258 patients were analysed and 10 aortic angles were calculated per case, able to adequately describe the overall AAA shape. 9 dimensional variables (i.e. diameters and lengths) were also recorded. The median and extreme values of these variables were computed providing a detailed quantification of the geometrical landscape of the AAA. Moreover, statistical analysis showed that the identified angles presented no strong correlation with each other while no lateral or anterior/posterior symmetry of the AAA was identified. These findings suggest that endograft designers are free to construct any extreme case-studies with the values provided in a mix-and-match manner. This strategy can have a powerful effect in EVAR stent graft designing, as well as EVAR planning.
腹主动脉瘤（AAA）的解剖结构会影响血管内修复术（EVAR）的技术成功率，但文献中关于主动脉树角度的数据却很少。这给血管内移植物的数值分析带来了很大的限制，限制了它们的设计改进以及操作限制的确定。在这项研究中，构建了一个包含 10 个角度的矩阵 Φ 来描述病变区域，并将其应用于大量解剖结构数据集。具体来说，对 258 名患者的计算机断层血管造影进行了分析，每个病例计算了 10 个主动脉角度，能够充分描述整个 AAA 的形状。还记录了 9 个维度变量（即直径和长度）。计算了这些变量的中位数和极值，提供了对 AAA 几何形状的详细量化。此外，统计分析表明，所确定的角度之间没有很强的相关性，也没有发现 AAA 的横向或前后对称性。这些发现表明，移植物设计师可以自由地以混合匹配的方式构建任何极值病例研究。这种策略在 EVAR 支架移植物设计和 EVAR 规划中可以产生强大的效果。
