A NONLINEAR MEMBRANE BASED ANALYSIS FOR ESTIMATING THE RUPTURE POTENTIAL OF ABDOMINAL AORTIC ANEURYSMS

基于非线性膜的分析估计腹主动脉瘤的破裂可能性

• 批准号: 10696243
• 负责人: ENDER A FINOL
• 金额: $ 47.63万
• 依托单位: UNIVERSITY OF TEXAS SAN ANTONIO
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10696243
• 关键词: Abdomen; Abdominal Aortic Aneurysm; Aneurysm; Award; Biomechanics; Blood Vessels; Clinic; Clinical; Clinical Management; Clinical Research; Computer software; Consent; Detection; Development; Diameter; Disease; Disease Management; Elasticity; Event; Exhibits; Finite Element Analysis; Future; Geometry; Goals; Growth; Guidelines; Human Subject Research; Image; Individual; Knowledge; Life; Measurement; Measures; Mechanical Stress; Mechanics; Membrane; Methods; Modeling; Operative Surgical Procedures; Outcomes Research; Patient observation; Patients; Periodicals; Physics; Probability; Procedures; Property; Protocols documentation; Recommendation; Research; Residual state; Risk; Risk Assessment; Rupture; Ruptured Abdominal Aortic Aneurysm; Shapes; Stress; Surveillance Program; Technology; Testing; Thick; Thrombus; Tissues; X-Ray Computed Tomography; abdominal CT; abdominal aorta; abdominal pressure; clinical translation; comorbidity; computerized tools; follow-up; indexing; mortality; prevent; prospective; repaired; research study; risk prediction; standard of care; theories; ultrasound

PROJECT SUMMARY / ABSTRACT The overall goal of this problem-driven research is to provide a proof-of-concept strategy for implementing a nonlinear membrane based analysis for abdominal aortic aneurysm (AAA) rupture risk assessment that overcomes the scientific and technological limitations of a finite element analysis (FEA)-based approach. To this end, we propose to develop and apply a method for quantifying rupture potential index (RPI) that does not require knowledge of the tissue properties of the AAA wall and intraluminal thrombus, nor does it need an estimation of the unstressed AAA shape or residual stresses, and does not require an FEA solver. The proposed method is based on nonlinear elastic membrane analysis (NEMA) theory, informed by our prior body of work on geometry quantification of patient-specific AAA models. Therefore, it is a physics-driven method for RPI quantification. We also propose to apply the method while conducting a prospective human subjects research study and assess its potential for rupture risk assessment based on its ability to predict future growth rates. We hypothesize that the new method for calculating RPI will be able to predict future AAA growth rate with a minimum probability of 80%. We will complete the following Specific Aims to accomplish the aforementioned goal and test the proposed hypothesis: (I) Develop a non-FEA approach for calculating RPI; (II) Calculate individual RPI and growth rate for AAAs under surveillance; and (III) Perform a predictive analysis of future AAA growth based on current RPI. The primary expected outcome of this research is a physics-driven method for predicting future AAA growth by calculating RPI using current, standard of care abdominal CT images. The method is devoid of the limitations that characterize typical biomechanics-based approaches. If proven successful, this approach could be envisioned as part of a computational tool for rupture risk assessment in the clinic.

项目概要/摘要 这项以问题为驱动的研究的总体目标是为实施 基于非线性膜的腹主动脉瘤（AAA）破裂风险评估分析 克服了基于有限元分析 (FEA) 的方法的科学和技术限制。对此 最后，我们建议开发并应用一种量化断裂电位指数（RPI）的方法，该方法不需要 了解 AAA 壁和腔内血栓的组织特性，也不需要估计 无应力 AAA 形状或残余应力，并且不需要 FEA 求解器。所提出的方法是 基于非线性弹性膜分析 (NEMA) 理论，并以我们之前的几何工作为基础 患者特异性 AAA 模型的量化。因此，它是一种物理驱动的 RPI 量化方法。我们 还建议在进行前瞻性人类受试者研究时应用该方法并评估其 基于预测未来增长率的能力进行破裂风险评估的潜力。我们假设 新的RPI计算方法将能够以最小80%的概率预测未来的AAA增长率。 我们将完成以下具体目标来实现上述目标并测试拟议的 假设： (I) 开发一种非 FEA 方法来计算 RPI； （二）计算个体RPI和增长率 受监视的 AAA； (III) 根据当前 RPI 对未来 AAA 增长进行预测分析。这 这项研究的主要预期成果是一种物理驱动的方法，用于预测未来 AAA 的增长 使用当前标准护理腹部 CT 图像计算 RPI。该方法没有限制 这是典型的基于生物力学的方法的特征。如果证明成功的话，这种方法可能会 设想作为临床破裂风险评估计算工具的一部分。