Hellmeier Florian, Nordmeyer Sarah, Yevtushenko Pavlo, Bruening Jan, Berger Felix, Kuehne Titus, Goubergrits Leonid, Kelm Marcus
Biofluid Mechanics Laboratory, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Institute for Computational and Imaging Science in Cardiovascular Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Artif Organs. 2018 Jan;42(1):49-57. doi: 10.1111/aor.12955. Epub 2017 Aug 29.
Modeling different treatment options before a procedure is performed is a promising approach for surgical decision making and patient care in heart valve disease. This study investigated the hemodynamic impact of different prostheses through patient-specific MRI-based CFD simulations. Ten time-resolved MRI data sets with and without velocity encoding were obtained to reconstruct the aorta and set hemodynamic boundary conditions for simulations. Aortic hemodynamics after virtual valve replacement with a biological and mechanical valve prosthesis were investigated. Wall shear stress (WSS), secondary flow degree (SFD), transvalvular pressure drop (TPD), turbulent kinetic energy (TKE), and normalized flow displacement (NFD) were evaluated to characterize valve-induced hemodynamics. The biological prostheses induced significantly higher WSS (medians: 9.3 vs. 8.6 Pa, P = 0.027) and SFD (means: 0.78 vs. 0.49, P = 0.002) in the ascending aorta, TPD (medians: 11.4 vs. 2.7 mm Hg, P = 0.002), TKE (means: 400 vs. 283 cm /s , P = 0.037), and NFD (means: 0.0994 vs. 0.0607, P = 0.020) than the mechanical prostheses. The differences between the prosthesis types showed great inter-patient variability, however. Given this variability, a patient-specific evaluation is warranted. In conclusion, MRI-based CFD offers an opportunity to assess the interactions between prosthesis and patient-specific boundary conditions, which may help in optimizing surgical decision making and providing additional guidance to clinicians.
在进行手术之前对不同治疗方案进行建模,是心脏瓣膜病手术决策和患者护理中一种很有前景的方法。本研究通过基于患者特异性MRI的CFD模拟,研究了不同人工瓣膜的血流动力学影响。获取了10个有和没有速度编码的时间分辨MRI数据集,以重建主动脉并设置模拟的血流动力学边界条件。研究了使用生物瓣膜和机械瓣膜假体进行虚拟瓣膜置换后的主动脉血流动力学。评估了壁面剪应力(WSS)、二次流程度(SFD)、跨瓣膜压差(TPD)、湍流动能(TKE)和归一化血流位移(NFD),以表征瓣膜引起的血流动力学。生物假体在升主动脉中引起的WSS(中位数:9.3 vs. 8.6 Pa,P = 0.027)和SFD(平均值:0.78 vs. 0.49,P = 0.002)、TPD(中位数:11.4 vs. 2.7 mmHg,P = 0.002)、TKE(平均值:400 vs. 283 cm²/s²,P = 0.037)和NFD(平均值:0.0994 vs. 0.0607,P = 0.020)均显著高于机械假体。然而,假体类型之间的差异在患者之间表现出很大的变异性。鉴于这种变异性,有必要进行患者特异性评估。总之,基于MRI的CFD提供了一个机会来评估假体与患者特异性边界条件之间的相互作用,这可能有助于优化手术决策并为临床医生提供额外的指导。