Predicting the risk of rupture of abdominal aortic aneurysms by utilizing various geometrical parameters: Revisiting the diameter criterion
Predicting the risk of rupture of abdominal aortic aneurysms by utilizing various geometrical parameters: Revisiting the diameter criterion
复制标题
DOI：
10.1177/0003319706290741
复制
发表时间：
2006-08-01
期刊：
影响因子：
2.8
通讯作者：
Louridas, G.
中科院分区：
文献类型：
--
作者：
Giannoglou, G.;Giannakoulas, G.;Louridas, G.
作者以患者为基础，在体内无创估计了实际腹主动脉瘤（AAA）的壁应力分布，并将峰值壁应力（PWS）与各种几何参数相关联。他们研究了39名患有完整AAA（平均直径6.3 +/- 1.7 cm）的患者（37名男性，平均年龄73.7 +/- 8.2岁），这些患者正在接受螺旋计算机断层扫描（CT）的术前评估。通过图像处理获得真实的三维AAA几何结构。通过有限元分析确定壁应力。主动脉被认为是各向同性的，具有线性材料特性，并加载120.0 mm Hg的静压。使用各种几何参数来表征AAAs。PWS和每种几何特征通过Pearson等级相关系数进行相关，PWS在10.2至65.8 N/cm（2）之间变化（平均值37.1 +/- 9.9 N/cm（2））。在几何参数中，PWS与AAA的平均中心线曲率、最大中心线曲率和最大中心线扭转具有良好的相关性。PWS与最大径的相关性不显著。多元回归分析显示，AAA的平均中心线曲率是PWS和随后破裂风险的唯一重要预测因素。这种无创计算方法表明，几何参数而不是最大直径是AAA破裂的更好指标。
The authors estimated noninvasively the wall stress distribution for actual abdominal aortic aneurysms (AAAs) in vivo on a patient-to-patient basis and correlated the peak wall stress (PWS) with various geometrical parameters. They studied 39 patients (37 men, mean age 73.7 +/- 8.2 years) with an intact AAA (mean diameter 6.3 +/- 1.7 cm) undergoing preoperative evaluation with spiral computed tomography (CT). Real 3-dimensional AAA geometry was obtained from image processing. Wall stress was determined by using a finite-element analysis. The aorta was considered isotropic with linear material properties and was loaded with a static pressure of 120.0 mm Hg. Various geometrical parameters were used to characterize the AAAs. PWS and each of the geometrical characteristics were correlated by use of Pearson's rank correlation coefficients, PWS varied from 10.2 to 65.8 N/cm(2) (mean value 37.1 +/- 9.9 N/cm(2)). Among the geometrical parameters, the PWS was well correlated with the mean centerline curvature, the maximum centerline curvature, and the maximum centerline torsion of the AAAs. The correlation of PWS with maximum diameter was nonsignificant. Multiple regression analysis revealed that the mean centerline curvature of the AAA was the only significant predictor of PWS and subsequent rupture risk. This noninvasive computational approach showed that geometrical parameters other than the maximum diameter are better indicators of AAA rupture.