Bardi Francesco, Gasparotti Emanuele, Vignali Emanuele, Antonuccio Maria Nicole, Storto Eleonora, Avril Stéphane, Celi Simona
BioCardioLab, Bioengineering Unit, Ospedale del Cuore, Massa, Italy.
Mines Saint-Étienne, Université Jean Monnet, INSERM, Saint Étienne, France.
Front Bioeng Biotechnol. 2024 Oct 10;12:1452278. doi: 10.3389/fbioe.2024.1452278. eCollection 2024.
Cardiovascular diseases remain a leading cause of morbidity and mortality worldwide and require extensive investigation through studies. Mock Circulatory Loops (MCLs) are advanced platforms that accurately replicate physiological and pathological hemodynamic conditions, while also allowing for precise and patient-specific data collection. Particle Image Velocimetry (PIV) is the standard flow visualization technique for studies, but it is costly and requires strict safety measures. High-power Light Emitting Diode illuminated PIV (LED-PIV) offers a safer and cheaper alternative.
In this study, we aim to demonstrate the feasibility of a Hybrid-MCL integrated with a LED-PIV system for the investigation of Abdominal Aortic Aneurysm (AAA) compliant phantoms. We considered two distinct AAA models, namely, an idealized model and a patient-specific one under different physiological flow and pressure conditions.
The efficacy of the proposed setup for the investigation of AAA hemodynamics was confirmed by observing velocity and vorticity fields across multiple flow rate scenarios and regions of interest.
The findings of this study underscore the potential impact of Hybrid-MCL integrated with a LED-PIV system on enhancing the affordability, accessibility, and safety of CVD investigations.
心血管疾病仍然是全球发病和死亡的主要原因,需要通过研究进行广泛调查。模拟循环回路(MCLs)是先进的平台,能够准确复制生理和病理血流动力学状况,同时还能进行精确且针对患者的数据采集。粒子图像测速技术(PIV)是研究中的标准流动可视化技术,但成本高昂且需要严格的安全措施。高功率发光二极管照明的PIV(LED - PIV)提供了一种更安全、更便宜的替代方案。
在本研究中,我们旨在证明将混合MCL与LED - PIV系统集成用于研究腹主动脉瘤(AAA)顺应性模型的可行性。我们考虑了两种不同的AAA模型,即理想化模型和在不同生理流量和压力条件下的患者特异性模型。
通过观察多个流速场景和感兴趣区域的速度和涡度场,证实了所提出的用于研究AAA血流动力学设置的有效性。
本研究结果强调了将混合MCL与LED - PIV系统集成对提高心血管疾病(CVD)研究的可承受性、可及性和安全性的潜在影响。