A predictive model of left ventricle remodeling in the presence of injected polymer
A predictive model of left ventricle remodeling in the presence of injected polymer
批准号:
10658840
负责人:
Christian Goodbrake
金额:
$6.95万
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-01-01 至 2024-12-31
关键词:
3-DimensionalAffectAftercareAmericanAnatomyAnimalsCardiacCardiovascular systemCicatrixClinicalCollagenCombined Modality TherapyComplexComputer ModelsCongestive Heart FailureConnective TissueConsumptionDataDepositionDevelopmentDiffusion Magnetic Resonance ImagingEvolutionFiberFibroblastsFutureGeometryGoalsGrowthGuidelinesHealthHeartHeart VentricleHeart failureImageImaging technologyImpairmentIndividualInfarctionInjection of therapeutic agentInjectionsInvestigationIschemiaLeftLeft Ventricular RemodelingLeft ventricular structureLeukocytesLinkMeasuresMechanicsMitral ValveMitral Valve InsufficiencyModalityModelingMuscle CellsMyocardialMyocardial InfarctionMyocardiumNatureNecrosisNoduleOrganPatientsPolymersProcessResearchResolutionShapesSheepSiteSpecimenStressStructureTimeTissuesTranslationsTreatment ProtocolsValidationVentricular Remodelingchemokinecostcytokinedensityheart functionindividual patientindividualized medicineoptimal treatmentsphenomenological modelspreclinical studypredictive modelingpressureresponsesimulationtherapy development
中文摘要
项目摘要/摘要
在心肌梗死后的几周内,受损组织经历结构变化,心肌细胞
被分解和移除,胶原组织被重组。这种结构变化会损害组织的
抵抗内部压力的能力,如果不进行治疗,可能会导致动脉瘤生长,缺血性二尖瓣反流-
最终导致心力衰竭。聚合物注射疗法已被临床证明可以减少脑梗塞后
左室室壁重塑,但到目前为止,这种治疗的发展主要是实验-
塔尔。目前尚不清楚通用治疗和个别患者的最佳治疗参数。
我们这项提议的目标是开发一种实验指导的左心室计算模型。
结合心脏fic成像数据的重建,这将使我们能够系统地优化
聚合物注射治疗通过检查治疗参数的影响,如注射体积,部位密度,
和聚合物硬度。这一心脏fic成像数据将使我们能够确定单个梗塞的影响。
几何形状和心肌微结构,并针对个别病例量身定做治疗。我们也试图利用这一点
图像数据验证了该模型的长期预测,表明它可以预测重塑
这种情况的发生,以及不同聚合物注入配置fi配方的影响。因此,它将发挥先发制人的作用
考虑多种治疗方案,以便临床医生可以为个别患者选择最佳的治疗方案。
本提案的目标概括为以下三个具体的fic目标:
SA1.与已建立的绵羊心肌梗死模型进展相匹配的梗塞后组织重塑模型
SA2.在心脏特定fic管道中在组织和器官水平进行验证
SA3.利用先前生成的模型来优化聚合物注入处理方案
英文摘要
PROJECT SUMMARY/ABSTRACT
In the weeks following myocardial infarction, damaged tissue undergoes a structural change, where myocytes
are broken down and removed, and collagenous tissue is restructured. This structural change impairs the tissue's
ability to resist internal pressures and if left untreated can lead to aneurysmal growth, ischemic mitral regurgi-
tation, and ultimately heart failure. Polymer injection therapy has been clinically shown to reduce post-infarct
left-ventricle cardiac wall remodeling, but the development of this treatment thus far has been largely experimen-
tal. Optimal therapy parameters, both for generic treatment and for individual patients are currently unknown.
Our objective for this proposal is to develop an experimentally guided computational model of left ventricle
remodeling that incorporates heart-specific imaging data, which will enable us to systematically optimize the
polymer injection therapy by examining the impact of treatment parameters such as injection volume, site density,
and polymer stiffness. This heart-specific imaging data will allow us to determine the effect of individual infarct
geometry and myocardium microstructure, and to tailor treatment to individual cases. We also seek to use this
image data to validate the long term predictions of this model, demonstrating that it can predict the remodeling
that occurs, and the impact of different polymer injection configurations. Therefore, it will serve to preemptively
consider multiple treatment options so clinicians can choose the best course of action for individual patients.
The objectives of this proposal are summarized in the three following specific aims:
SA1. Model post-infarct tissue remodeling matching established ovine MI model progression
SA2. Validate in a heart-specific pipeline at the tissue and organ levels
SA3. Utilize the previously generated model to optimize polymer injection treatment protocol
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会议论文
A predictive model of left ventricle remodeling in the presence of injected polymer
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批准号:10389507
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项目类别:
-
资助金额:$6.72万
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财政年份:2022
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负责人:Christian Goodbrake
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依托单位:
海外基金