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Mathematical modeling and computer simulation of aortic dissection

主动脉夹层的数学建模和计算机模拟

基本信息

批准号：
9268058
负责人：
Boyce Eugene Griffith
金额：
$ 45.31万
依托单位：
UNIV OF NORTH CAROLINA CHAPEL HILL
依托单位国家：
美国
项目类别：
财政年份：
2013
资助国家：
美国
起止时间：
2013-08-26 至 2019-04-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9268058
关键词：
Acute Affect Anatomy Animal Model Aorta Aortic Diseases Automobile Driving Blood Blood Vessels Caliber Chronic Clinical Clinical Management Clinical Pathology Computer Simulation Data Descending aorta Disease Dissection Distal Elasticity Ensure Failure Genetic Geometry Goals Health Human Human Characteristics Image Implant Injury Intervention Lesion Liquid substance Location Magnetic Resonance Imaging Mechanics Medical Methodology Methods Modeling Operative Surgical Procedures Pathologic Pathology Patient-Focused Outcomes Patients Pattern Physicians Plant Roots Play Property Reproducibility Research Residual state Risk Risk Assessment Role Rupture Shapes Site Stents Stress Structure Study models Surgical Flaps Syndrome Systemic blood pressure Testing Thoracic aorta Tissue Model Tissue Sample Tissues Work X-Ray Computed Tomography aortic arch ascending aorta base clinical decision-making experience hemodynamics high risk human disease imaging study implantation improved in vivo innovation mathematical model mechanical properties mortality physical model predictive modeling pressure public health relevance repaired response shear stress simulation treatment planning treatment strategy

项目摘要

DESCRIPTION (provided by applicant): Management of aortic diseases has progressed dramatically since the first successful, reproducible surgical intervention in 1956; however, while our understanding of the genetic and cellular bases of these diseases has steadily grown, treatment planning still generally relies on simple risk-assessment models and clinical experience. Some pathologies have been successfully replicated in animal models, but results from such studies are not always readily extrapolated to patients. Other pathologies lack any accepted or reproducible animal model. An example is aortic dissection, in which an intimal tear in the aortic wall propagates into the media to form a false lumen within the vessel wall. Surgical treatment for aortic dissection consists of either replacement of a portion of the aorta or endovascular stent implantation to cover the affected segment. Both approaches carry significant risks, and determining the optimal choice and timing of an intervention is challenging. While aortic dissections can be induced in animal models, such models do not replicate the clinical pathology. Consequently, modeling studies of aortic dissection must use physical or computational models. Existing computational models of aortic dissection use conventional computational fluid dynamics (CFD) approaches, in which the vessel wall and flap are treated as rigid structures. Although CFD models are able to predict wall shear stress distributions, they are unable to account for the interactions between the blood and vascular tis- sues, or for the effects of such interactions on the dynamics of the dissected aorta. This project will develop fluid-structure interaction (FSI) models of both the dissected and dissecting aorta that overcome the limitations of CFD models. These predictive models will be used to perform patient-specific simulations that ultimately will aid in clinical decision making, e.g., selecting optimal medical therapies or surgical interventions. This project will develop two types of FSI models of aortic dissection. The first type of model will use a geometrically parameterized, non-patient-specific model of the vessel and lesion. Such models will be used to study systematically how geometry and driving conditions affect the dynamics of both developing dissections and fully developed lesions. The second type of model will account for the effects of subject-specific anatomy by using realistic patient anatomical geometries derived from computed tomography (CT) and/or magnetic resonance (MR) imaging studies. To characterize the mechanical response and the damage and failure characteristics of human aortic tissue, experimental tests will be performed using tissue samples collected from both normal and diseased human aortas. Data from these tests will be used to develop healthy and disease-specific constitutive models that include innovative models of tissue damage and failure. The impact of these characterizations is not limited to aortic dissection, and this work has potential applications to a range of arterial pathologies, including aneurysmal rupture. Finally, these models will be used to study the surgical and medical management of patients who require or who have undergone partial repair of a Stanford Type A dissection.

描述（由申请人提供）：自1956年第一次成功的、可重复的手术干预以来，主动脉疾病的治疗取得了巨大进展；然而,尽管

项目成果

期刊论文数量（13）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

A finite strain nonlinear human mitral valve model with fluid-structure interaction.

DOI：
10.1002/cnm.2691
发表时间：
2014-12
期刊：
International journal for numerical methods in biomedical engineering
影响因子：
2.1
作者：
Gao H;Ma X;Qi N;Berry C;Griffith BE;Luo X
通讯作者：
Luo X

A coupled mitral valve-left ventricle model with fluid-structure interaction.

DOI：
10.1016/j.medengphy.2017.06.042
发表时间：
2017-09
期刊：
Medical engineering & physics
影响因子：
2.2
作者：
Gao H;Feng L;Qi N;Berry C;Griffith BE;Luo X
通讯作者：
Luo X

Mechanical strength of aneurysmatic and dissected human thoracic aortas at different shear loading modes.

DOI：
10.1016/j.jbiomech.2016.02.042
发表时间：
2016-08-16
期刊：
Journal of biomechanics
影响因子：
2.4
作者：
Sommer G;Sherifova S;Oberwalder PJ;Dapunt OE;Ursomanno PA;DeAnda A;Griffith BE;Holzapfel GA
通讯作者：
Holzapfel GA

Hybrid finite difference/finite element immersed boundary method.