Wang Kaihong, Armour Chlӧe H, Hanna Lydia, Gibbs Richard, Xu Xiao Yun
Department of Chemical Engineering, Imperial College London, London, UK.
Department of Chemical Engineering, Imperial College London, London, UK; National Heart and Lung Institute, Imperial College London, London, UK.
Comput Biol Med. 2025 Jun;191:110158. doi: 10.1016/j.compbiomed.2025.110158. Epub 2025 Apr 10.
Computational fluid dynamics (CFD) simulations have shown promise in assessing type B aortic dissection (TBAD) to predict disease progression, and inlet velocity profiles (IVPs) are essential for such simulations. To truly capture patient-specific hemodynamic features, 3D IVPs extracted from 4D-flow magnetic resonance imaging (4D MRI) should be used, but 4D MRI is not commonly available.
A new workflow was devised to generate personalized synthetic 3D IVPs that can replace 4D MRI-derived IVPs in CFD simulations. Based on 3D IVPs extracted from 4D MRI of 33 TBAD patients, statistical shape modelling and principal component analysis were performed to generate 270 synthetic 3D IVPs accounting for specific flow features. The synthetic 3D IVPs were then scaled and fine-tuned to match patient-specific stroke volume and systole-to-diastole ratio. The performance of personalized synthetic IVPs in CFD simulations was evaluated against patient-specific IVPs and compared with parabolic and flat IVPs.
Our results showed that the synthetic 3D IVP was sufficient for faithful reproduction of hemodynamics throughout the aorta. In the ascending aorta (AAo), where non-patient-specific IVPs failed to replicate in vivo flow features in previous studies, the personalized synthetic IVP was able to match not only the flow pattern but also time-averaged wall shear stress (TAWSS), with a mean TAWSS difference of 5.9 %, which was up to 36.5 % by idealized IVPs. Additionally, the predicted retrograde flow index in both the AAo (8.36 %) and descending aorta (8.17 %) matched closely the results obtained with the 4D MRI-derived IVP (7.36 % and 6.55 %). The maximum false lumen pressure difference was reduced to 11.6 % from 68.8 % by the parabolic IVP and 72.6 % by the flat IVP.
This study demonstrates the superiority of personalized synthetic 3D IVPs over commonly adopted parabolic or flat IVPs and offers a viable alternative to 4D MRI-derived IVP for CFD simulations of TBAD.
计算流体动力学(CFD)模拟在评估B型主动脉夹层(TBAD)以预测疾病进展方面已显示出前景,而入流速度剖面(IVP)对于此类模拟至关重要。为了真正捕捉患者特异性血流动力学特征,应使用从四维血流磁共振成像(4D MRI)中提取的三维IVP,但4D MRI并不常用。
设计了一种新的工作流程,以生成个性化的合成三维IVP,其可在CFD模拟中替代源自4D MRI的IVP。基于从33例TBAD患者的4D MRI中提取的三维IVP,进行统计形状建模和主成分分析,以生成270个考虑特定血流特征的合成三维IVP。然后对合成三维IVP进行缩放和微调,以匹配患者特异性每搏输出量和收缩期与舒张期比率。针对患者特异性IVP评估个性化合成IVP在CFD模拟中的性能,并与抛物线型和平坦型IVP进行比较。
我们的结果表明,合成三维IVP足以在整个主动脉中忠实地再现血流动力学。在升主动脉(AAo)中,在先前研究中非患者特异性IVP未能复制体内血流特征的部位,个性化合成IVP不仅能够匹配血流模式,还能匹配时间平均壁面切应力(TAWSS),平均TAWSS差异为5.9%,理想IVP的差异高达36.5%。此外,升主动脉(8.36%)和降主动脉(8.17%)中预测的逆行血流指数与使用源自4D MRI的IVP获得的结果(7.36%和6.55%)密切匹配。最大假腔压力差从抛物线型IVP的68.8%和平坦型IVP的72.6%降至11.6%。
本研究证明了个性化合成三维IVP优于常用的抛物线型或平坦型IVP,并为TBAD的CFD模拟提供了一种可行的替代源自4D MRI的IVP的方法。