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，以改进先天性心脏病（CHD）个性化治疗策略的计算机模拟测试。该项目的重点是由集总参数建模支持的计算流体动力学（CFD）。基于在第一个项目阶段开发的模型和方法，我们将把我们的研究扩展到临床可用性，以使它们在患者护理中可用。基于心脏成像的计算机建模有可能提前模拟各种治疗程序的应用。由于根据当前CHD指南的治疗决策通常仅基于压力值或专家意见，因此计算机建模具有个性化治疗和预测性测试的潜力。该项目的具体目标是开发基于图像的建模方法，分别采用支架或瓣膜置换术/修复术治疗主动脉缩窄和/或二叶式主动脉瓣的治疗概念（计算机模拟试验），B）使用降阶模型（0 D/1D）预测不同治疗策略后的血流动力学变化，以及c）预测静息和应激期间的血流动力学状况变化（药理学应激）。这些方法将通过临床实际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

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

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

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