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计算流体动力学支持下的 Fontan 手术规划:从数小时到数分钟,临床术前模拟的下一个步骤。

Computational Fluid Dynamics Support for Fontan Planning in Minutes, Not Hours: The Next Step in Clinical Pre-Interventional Simulations.

机构信息

Department of Clinical Sciences Lund, Clinical Physiology, Skåne University Hospital, Lund University, Lund, Sweden.

Department of Mechanical & Manufacturing Engineering, University of Cyprus, Nicosia, Cyprus.

出版信息

J Cardiovasc Transl Res. 2022 Aug;15(4):708-720. doi: 10.1007/s12265-021-10198-6. Epub 2021 Dec 27.

Abstract

Computational fluid dynamics (CFD) modeling may aid in planning of invasive interventions in Fontan patients. Clinical application of current CFD techniques is however limited by complexity and long computation times. Therefore, we validated a "lean" CFD method to magnetic resonance imaging (MRI) and an "established" CFD method, ultimately aiming to reduce complexity to enable predictive CFD during ongoing interventions. Fifteen Fontan patients underwent MRI for CFD modeling. The differences between lean and established approach, in hepatic and total flow percentage to the left pulmonary artery (%LPA), power loss and relative wall shear stress area were 1.5 ± 4.0%, -0.17 ± 1.1%, -0.055 ± 0.092 mW and 1.1 ± 1.4%. Compared with MRI, the lean and established method showed a bias in %LPA of -1.9 ± 3.4% and -1.8 ± 3.1%. Computation time was for the lean and established approach 3.0 ± 2.0 min and 7.0 ± 3.4 h, respectively. We conclude that the proposed lean method provides fast and reliable results for future CFD support during interventions.

摘要

计算流体动力学(CFD)建模可以帮助规划 Fontan 患者的侵袭性干预。然而,当前 CFD 技术的临床应用受到复杂性和长计算时间的限制。因此,我们验证了一种“精简”的 CFD 方法与磁共振成像(MRI)和一种“成熟”的 CFD 方法,最终旨在通过减少复杂性来实现正在进行的干预期间的预测性 CFD。15 名 Fontan 患者接受 MRI 以进行 CFD 建模。在肝血流和总血流到左肺动脉的百分比(%LPA)、功率损耗和相对壁面切应力面积方面,精简和成熟方法之间的差异为 1.5±4.0%、-0.17±1.1%、-0.055±0.092 mW 和 1.1±1.4%。与 MRI 相比,精简和成熟方法在 %LPA 上的偏差分别为-1.9±3.4%和-1.8±3.1%。精简和成熟方法的计算时间分别为 3.0±2.0 分钟和 7.0±3.4 小时。我们得出结论,所提出的精简方法为未来干预期间的 CFD 支持提供了快速可靠的结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f978/9622535/56cf8f44e1cb/12265_2021_10198_Fig1_HTML.jpg

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