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从患者特定的三维有限元模型中得出 AAA 破裂风险参数的可重复性。

Reproducibility of deriving parameters of AAA rupture risk from patient-specific 3D finite element models.

机构信息

Department of Vascular and Endovascular Surgery, Ruprecht-Karls University Heidelberg, Germany.

出版信息

J Endovasc Ther. 2011 Jun;18(3):289-98. doi: 10.1583/10-3384MR.1.

Abstract

PURPOSE

To assess the reproducibility of estimating biomechanical parameters of abdominal aortic aneurysms (AAA) based on finite element (FE) computations derived from a commercially available, semiautomatic vascular analyzer that reconstructs computed tomographic angiography (CTA) data into FE models.

METHODS

The CTA data from 10 consecutive male patients (mean age 74 years, range 63-87) with a fusiform infrarenal AAA >5 cm in diameter were used for this study, along with the CTA scans from 4 individuals without aortic disease. Three different observers used semiautomatic reconstruction software to create deformable contour models from axial CT scans. These 3-dimensional FE models captured the aortic wall and thrombus tissue using isotropic finite strain constitutive modeling. Geometric (maximum diameter and volume measurements based on an anatomical centerline) and biomechanical determinants [aneurysm peak wall stress (PWS) and the peak wall rupture risk (PWRR) index] were then calculated from the FE models. The determinations were made 5 times for each anonymized dataset presented for analysis in random order (5-fold measurements for 14 datasets produced 210 measurements from the 3 observers). Inter- and intraobserver variability were assessed by calculating the coefficient of variation of these repeated measures. The methodological variations were expressed with the intraclass correlation coefficient (ICC) and Bland-Altman plots.

RESULTS

The median segmentation time was < 1 hour (mean 39.2 minutes, range 25-48) for datasets from the AAA patients; for the healthy individuals, segmentation times were considerably shorter (median 8.7 minutes, range 4-15). Intraobserver reproducibility was high, as represented by a CV <3% for the diameter measurement and < 5.5% for volume, PWS, and the PWRR index. The ICC was 0.97 (range 0.95-0.98) for diameter and 0.98 (range 0.97-0.99) for volume; for PWS and the PWRR index, the ICCs were equal at 0.98 (range 0.97-0.99).

CONCLUSION

The reproducibility of volume and maximum diameter measurements in infrarenal AAAs with FE analysis is high. With the model used in this semiautomatic reconstruction software, wall stress analysis can be achieved with high agreement among observers and in serial measurements by a single observer.

摘要

目的

评估基于商业可用半自动血管分析软件从 CT 血管造影(CTA)数据重建有限元(FE)模型来估算腹主动脉瘤(AAA)生物力学参数的可重复性。

方法

本研究纳入了 10 例连续男性患者(平均年龄 74 岁,范围 63-87 岁)的 CTA 数据,这些患者均患有直径>5cm 的梭形肾下 AAA,还纳入了 4 例无主动脉疾病的个体的 CTA 扫描数据。3 位观察者使用半自动重建软件从轴向 CT 扫描中创建可变形轮廓模型。这些三维 FE 模型使用各向同性有限应变本构模型捕获主动脉壁和血栓组织。然后,从 FE 模型中计算几何参数(基于解剖中心线的最大直径和体积测量值)和生物力学参数(AAA 峰值壁应力(PWS)和峰值壁破裂风险(PWRR)指数)。为每个匿名数据集进行了 5 次分析,这些数据集以随机顺序呈现(14 个数据集的 5 倍测量值产生了 3 位观察者的 210 个测量值)。通过计算这些重复测量的变异系数来评估观察者内和观察者间的变异性。方法学变化用组内相关系数(ICC)和 Bland-Altman 图表示。

结果

AAA 患者的数据集的中位分割时间<1 小时(平均 39.2 分钟,范围 25-48);对于健康个体,分割时间明显更短(中位数 8.7 分钟,范围 4-15)。直径测量的 CV<3%,体积、PWS 和 PWRR 指数的 CV<5.5%,表明观察者内的可重复性很高。直径的 ICC 为 0.97(范围 0.95-0.98),体积的 ICC 为 0.98(范围 0.97-0.99);PWS 和 PWRR 指数的 ICC 相等,均为 0.98(范围 0.97-0.99)。

结论

使用 FE 分析评估肾下 AAA 的体积和最大直径测量的可重复性较高。使用半自动重建软件中的该模型,观察者之间以及单个观察者的连续测量之间可以高度一致地进行壁应力分析。

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