Growth and Remodeling Model of Abdominal Aortic Aneurysm: Toward Clinical Applica

腹主动脉瘤的生长和重塑模型：走向临床应用

基本信息

批准号：
8896853
负责人：
Seungik Baek
金额：
$ 17.64万
依托单位：
MICHIGAN STATE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2012
资助国家：
美国
起止时间：
2012-08-01 至 2017-07-31
项目状态：
已结题

项目摘要

DESCRIPTION (provided by applicant): During the past two decades, there have been significant advances in understanding of pathophysiology and biomechanics of abdominal aortic aneurysms (AAAs). In particular, incorporation of patient-specific geometries in computational biomechanical analysis promises that the computational biomechanics becomes an essential tool for AAA risk assessment. Conventional finite element analysis, however, uses advances in medical imaging only to define patient-specific lesion geometry, but do not relate the geometrical features with alterations in biomechanics from long-term vascular adaptation during the enlargement. We previously studied CT images of small AAAs obtained from longitudinal studies of three patients and, using a growth and remodeling (G&R) model of AAAs developed from our group, found that the stress distribution of AAAs can be altered by interacting with spine vertebrae during the enlargement. In collaboration with Dr. Whal Lee at Seoul National University Hospital in South Korea, we have obtained two to nine sets of follow-up CT images from eight more patients with the mean surveillance interval of 355 days. The main goals of this project, therefore, are i) to exploit this unique data ad to understand biomechanically why the observed changes in morphology of AAAs occur, ii) to identify specific morphological features that will estimate the stress distribution better and iii) to develop a computational framework to better predict rupture risk for small AAAs based on medical images and computational analyses over a small number of longitudinal studies. The specific aims are: (1) to develop a quantitative image analysis to characterize morphological changes of AAAs using series of 3D CT images, and investigate correlations between geometrical parameters and the local expansion, (2) to develop a numerical inverse method using a novel G&R model and two longitudinal images from the same patient to predict the evolution of lesion geometry, and (3) to utilize the results from Aim &2 and the G&R model of AAAs to study effects of local wall expansion and interactions with the spinal vertebrae on the lesion geometry, stress distribution, and rupture risk. The uniqueness of this research stems from our novel G&R model and the unique set of longitudinal patient data that is essential for building and validating such models. The proposed research will significantly increase our understanding of biomechanics of AAAs during their progression and will provide a necessary step toward the clinical application of vascular G&R models for AAA risk assessment and treatment.

描述（由申请人提供）：在过去的二十年中，了解腹主动脉瘤（AAAS）的病理生理学和生物力学方面取得了重大进展。特别是，在计算生物力学分析中将患者特异性的几何形状纳入有望成为计算生物力学成为AAA风险评估的重要工具。然而，常规有限元分析仅使用医学成像的进步来定义患者特异性病变的几何形状，但并不将几何特征与在扩大过程中长期血管适应的生物力学变化相关。我们先前研究了从三名患者的纵向研究获得的小型AAA的CT图像，并使用生长和重塑（G＆R）模型的模型 AAA从我们小组开发的，发现在扩大过程中与脊柱椎骨相互作用可以改变AAA的应力分布。与韩国首尔国立大学医院的Whal Lee博士合作，我们从另外八名患者中获得了两到九组后续的CT图像，平均监视间隔为355天。因此，该项目的主要目标是i）利用这一独特的数据广告，以了解生物力学，以了解为什么观察到的AAAS形态发生变化，ii），ii）确定特定的形态特征，以更好地估算压力分布和III），以开发计算框架以更好地预测基于医学图像和计算分析的小型AAA的破裂风险。具体目的是：（1）开发定量图像分析，以使用一系列3D CT图像来表征AAA的形态变化，并研究几何参数与局部扩展之间的相关性，（2）使用新颖的G＆R模型开发数值相反方法，从同一患者和两个les and the As the Els and from of Als and fres and fres and fres and fres and fres＆fres＆fres and fres＆fres ys（3）的几何和（3）的几何和（3）的速度（3）且（3）。 AAA的模型研究了局部壁扩张以及与脊髓椎骨相互作用对病变几何形状，应力分布和破裂风险的影响。这项研究的独特性源于我们的新型G＆R模型以及对建立和验证此类模型至关重要的独特纵向患者数据。拟议的研究将大大提高我们对AAA在其进展过程中的生物力学的理解，并将为临床应用提供必要的步骤 AAA风险评估和治疗的血管G＆R模型。