Mathematical modeling and computer simulation of aortic dissection
Mathematical modeling and computer simulation of aortic dissection
批准号:
9031871
负责人:
Boyce Eugene Griffith
金额:
$44.63万
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-08-26 至 2018-04-30
关键词:
AccountingAcuteAddressAffectAnatomyAnimal ModelAortaAortic DiseasesArteriographiesAutomobile DrivingBloodBlood CirculationBlood PressureBlood VesselsBlood flowCaliberChronicClinicalClinical ManagementComputer SimulationDataDevelopmentDiseaseDissectionDistalEatingElasticityEnsureGeneticGeometryGoalsHealthHumanImageImplantInterventionLesionLiquid substanceMagnetic ResonanceMagnetic Resonance ImagingMechanicsMedicalMethodologyMethodsModelingOperative Surgical ProceduresOutcomePathologyPatient riskPatientsPatternPhysiciansPhysiologicalPlant RootsPlayPropertyResidual stateRiskRisk AssessmentRoleRuptureShapesSpecimenStentsStressStructureSurgical FlapsSurgical ManagementSyndromeTestingThoracic aortaTimeTissue SampleTissuesTubeWorkX-Ray Computed Tomographyascending aortabaseclinical decision-makingdacronexperiencehemodynamicshigh riskimplantationimprovedin vivoinnovationmathematical modelmortalitynon-compliancephysical modelpredictive modelingrepairedresearch studyresponseshear stresssimulationtreatment planningtreatment strategyvalve replacement
中文摘要
描述(由申请人提供):自1956年首次成功进行可重复的外科干预以来,主动脉疾病的管理取得了巨大进展;然而,尽管我们对此类疾病的遗传和细胞基础的了解稳步增长,但治疗计划通常仍然依赖于简单的风险评估模型和临床经验。一些病理条件已经用动物模型模拟,但这些研究的结果可能不容易外推到患者身上。其他病理学缺乏任何可接受或可重复的动物模型。一个例子是主动脉夹层,其中主动脉壁中的内膜撕裂传播到中膜中以在血管壁内形成假腔。手术
主动脉夹层的治疗包括置换主动脉的一部分或血管内支架植入以覆盖受影响的节段。这两种方法都有很大的风险,确定干预的最佳选择和时机具有挑战性。由于没有公认的主动脉夹层动物模型,实验研究必须使用物理或计算模型。现有的主动脉夹层的计算模型使用传统的计算流体动力学(CFD)方法,其中血管壁和皮瓣被视为刚性结构。虽然CFD模型能够预测壁面剪切应力分布,但它们无法解释血液和血管组织之间的相互作用,或这种相互作用对夹层主动脉动力学的影响。本计画将发展主动脉夹层的流固耦合模型,以克服CFD模型的限制。这些预测模型将用于执行患者特定的模拟,最终将有助于临床决策,例如,选择最佳的药物治疗或手术干预。 本计画将发展两种不同类型的主动脉夹层FSI模型。第一类模型将使用血管几何形状的理想化描述
和病变。这种模型非常适合于解决采取参数研究形式的问题。这些模型将用于系统地研究几何形状和驱动条件如何影响发展中的夹层和充分发展的病变的动力学。第二种类型的模型将通过使用从计算机断层扫描(CT)和/或磁共振(MR)成像研究导出的几何形状来解释患者特定解剖结构的影响。为了表征人体主动脉组织的弹性反应,将从正常和患病的人体主动脉采集组织样本,并进行拉伸试验以表征这些样本的机械性能。来自这些测试的数据将用于开发相应的健康和疾病特异性本构模型。健康人和患病人主动脉弹性的表征有可能影响广泛的主动脉疾病的工作。最后,这些模型将用于研究需要或仅接受部分手术修复夹层的患者的医疗和手术管理,如现在通常在夹层涉及近端升主动脉(A型夹层)的病例中所做的那样。
英文摘要
DESCRIPTION (provided by applicant): Management of aortic diseases has progressed dramatically since the first successful, reproducible surgical intervention in 1956; however, although our understanding of the genetic and cellular bases of such diseases has steadily grown, treatment planning still generally relies on simple risk-assessment models and clinical experience. Some pathological conditions have been mimicked with animal models, but results from such studies may not be 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. Because there are no accepted animal models of aortic dissection, experimental studies 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 tissues, or for the effects of such interactions on the dynamics of the dissected aorta. This project will develop fluid-structure interaction (FSI) models of aortic dissection that overcome th 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 an idealized description of the geometry of the vessel
and lesion. Such models are ideally suited for addressing questions that take the form of parameter studies. These 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 patient-specific anatomy by using geometries derived from computed tomography (CT) and/or magnetic resonance (MR) imaging studies. To characterize the elastic response of human aortic tissue, tissue samples will be collected from both normal and diseased human aortas, and tensile tests will be performed to characterize the mechanical properties of these specimens. The data from these tests will be used to develop corresponding healthy and disease-specific constitutive models. The characterization of the elasticity of both the healthy and diseased human aorta has the potential to impact work on a broad range of aortic diseases. Finally, these models will be used to study the medical and surgical management of patients who require or who have undergone only partial surgical repair of the dissection, as is now commonly done in cases in which the dissection involves the proximal ascending aorta (Type A dissections).
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会议论文
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项目类别:
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资助金额:$54.58万
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财政年份:2018
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负责人:Boyce Eugene Griffith
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批准号:9268058
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Mathematical modeling and computer simulation of aortic dissection
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批准号:8726479
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项目类别:
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资助金额:$45.56万
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财政年份:2013
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负责人:Boyce Eugene Griffith
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依托单位:
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批准号:8581495
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项目类别:
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资助金额:$51.65万
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财政年份:2013
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负责人:Boyce Eugene Griffith
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依托单位:
海外基金