Department of Cardiothoracic Surgery, Stanford University, Stanford, CA, USA.
Department of Bioengineering, Stanford University, Stanford, CA, USA.
J Cardiovasc Transl Res. 2021 Apr;14(2):283-289. doi: 10.1007/s12265-020-10038-z. Epub 2020 Jun 3.
Although ex vivo simulation is a valuable tool for surgical optimization, a disease model that mimics human aortic regurgitation (AR) from cusp prolapse is needed to accurately examine valve biomechanics. To simulate AR, four porcine aortic valves were explanted, and the commissure between the two largest leaflets was detached and re-implanted 5 mm lower to induce cusp prolapse. Four additional valves were tested in their native state as controls. All valves were tested in a heart simulator while hemodynamics, high-speed videography, and echocardiography data were collected. Our AR model successfully reproduced cusp prolapse with significant increase in regurgitant volume compared with that of the controls (23.2 ± 8.9 versus 2.8 ± 1.6 ml, p = 0.017). Hemodynamics data confirmed the simulation of physiologic disease conditions. Echocardiography and color flow mapping demonstrated the presence of mild to moderate eccentric regurgitation in our AR model. This novel AR model has enormous potential in the evaluation of valve biomechanics and surgical repair techniques. Graphical Abstract.
尽管离体模拟是手术优化的有价值工具,但需要一种能够模拟人类主动脉瓣反流(AR)的瓣叶脱垂的疾病模型,以便准确检查瓣膜生物力学。为了模拟 AR,我们取出了四个猪主动脉瓣,并将两个最大瓣叶之间的连合切开,然后向下重新植入 5 毫米,以诱导瓣叶脱垂。另外四个瓣膜作为对照在其自然状态下进行了测试。所有瓣膜都在心模拟器中进行了测试,同时收集了血液动力学、高速录像和超声心动图数据。我们的 AR 模型成功地再现了瓣叶脱垂,与对照组相比,反流量显著增加(23.2±8.9 与 2.8±1.6ml,p=0.017)。血液动力学数据证实了生理疾病条件的模拟。超声心动图和彩色血流图显示我们的 AR 模型存在轻度至中度偏心性反流。这种新型 AR 模型在评估瓣膜生物力学和手术修复技术方面具有巨大的潜力。图表摘要。