Computer assisted analysis and prediction of the haemodynamic outcome of treatment strategies in congenital heart diseases

先天性心脏病治疗策略血流动力学结果的计算机辅助分析和预测

• 批准号: 223533535
• 负责人: Professor Dr.-Ing. Leonid Goubergrits
• 金额: --
• 依托单位: Institut für Kardiovaskuläre Computer-assistierte Medizin (CVK)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2012
• 资助国家: 德国
• 起止时间: 2011-12-31 至 2018-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/223533535?language=en
• 关键词: Computer; assisted; analysis; prediction; haemodynamic

The projects objective is to further develop image based modeling methods for improved in-silico testing of personalized therapy strategies in congenital heart disease (CHD). The focus of the project is computational fluid dynamics (CFD) supported by a lumped parameter modelling. Based on the models and methods developed in the first project phase we will extend our research towards clinical usability in order to make them usable in patient care. Computer modeling based on cardiac imaging has the potential to simulate the application of various treatment procedures in advance. Since therapeutic decisions according to current CHD guidelines are often solely based on pressure values or expert opinion, computer modeling has the potential for individualized therapy and predictive testing. The specific objectives of the project are the development of image based modelling methods for a) simulation (in-silico test) of treatment concepts of aortic coarctation and/or bicuspid aortic valves with stents or by valve replacement/repair, respectively, b) prognosis of hemodynamic changes after different treatment strategies using reduced order models (0D/1D) and c) predict changes of hemodynamic conditions at rest and during stress (pharmacological stress). The methods will be developed and validated with clinical real-life data.

该项目的目标是进一步开发基于图像的建模方法，以改善先天性心脏病（CHD）的个性化治疗策略的内部测试。该项目的重点是计算流体动力学（CFD），该动力学由总参数建模支持。根据在第一个项目阶段开发的模型和方法，我们将将研究扩展到临床可用性，以使其可在患者护理中使用。基于心脏成像的计算机建模有可能事先模拟各种治疗程序的应用。由于根据当前的CHD指南的治疗决策通常仅基于压力价值或专家意见，因此计算机建模具有个性化治疗和预测性测试的潜力。该项目的具体目的是开发基于图像的建模方法，用于a）对主动脉凝结和/或双质主动脉瓣的治疗概念的模拟（内部测试），分别具有支架或瓣膜置换/修复瓣膜/修复的瓣膜替代/修复，b）在降低了阶段和c降低的序列变化（0D/1D）的情况下，分别进行了治疗策略的预后，并通过降低了治疗策略的预后（b）预后）。 （药理应力）。这些方法将通过临床现实生活数据进行开发和验证。

项目成果

Simulation, identification and statistical variation in cardiovascular analysis (SISCA) - A software framework for multi-compartment lumped modeling

• DOI: 10.1016/j.compbiomed.2017.05.021
• 发表时间: 2017-08
• 期刊: Computers in biology and medicine
• 影响因子: 7.7
• 作者: R. Huttary;L. Goubergrits;C. Schütte;S. Bernhard

Hemodynamic Changes During Physiological and Pharmacological Stress Testing in Healthy Subjects, Aortic Stenosis and Aortic Coarctation Patients–A Systematic Review and Meta-Analysis

健康受试者、主动脉瓣狭窄和主动脉缩窄患者生理和药理应激测试期间的血流动力学变化——系统评价和荟萃分析

• DOI: 10.3389/fcvm.2019.00043
• 发表时间: 2019
• 期刊: Frontiers in Cardiovascular Medicine
• 影响因子: 3.6
• 作者: Kilian R;Brosien K;Salcher M;Schubert C;Goubergrits L;Kelle S;Schubert S;Berger F;Kuehne T;Kelm M
• 通讯作者: Kelm M

Impact of patient-specific LVOT inflow profiles on aortic valve prosthesis and ascending aorta hemodynamics

• DOI: 10.1016/j.jocs.2017.11.005
• 发表时间: 2018-01-01
• 期刊: JOURNAL OF COMPUTATIONAL SCIENCE
• 影响因子: 3.3
• 作者: Bruening, Jan;Hellmeier, Florian;Goubergrits, Leonid
• 通讯作者: Goubergrits, Leonid

Numerical investigation of the impact of branching vessel boundary conditions on aortic hemodynamics

分支血管边界条件对主动脉血流动力学影响的数值研究

• DOI: 10.1515/cdbme-2017-0066
• 发表时间: 2017
• 期刊: Current Directions in Biomedical Engineering
• 作者: Yevtushenko;Hellmeier;Bruening;Kuehne;Goubergrits
• 通讯作者: Goubergrits

Uncertainty Quantification for Non-invasive Assessment of Pressure Drop Across a Coarctation of the Aorta Using CFD

• DOI: 10.1007/s13239-018-00381-3
• 发表时间: 2018-12-01
• 期刊: CARDIOVASCULAR ENGINEERING AND TECHNOLOGY
• 影响因子: 1.8
• 作者: Bruening, Jan;Hellmeier, Florian;Goubergrits, Leonid
• 通讯作者: Goubergrits, Leonid