A Novel Aortic Regurgitation Model from Cusp Prolapse with Hemodynamic Validation Using an Ex Vivo Left Heart Simulator.
A Novel Aortic Regurgitation Model from Cusp Prolapse with Hemodynamic Validation Using an Ex Vivo Left Heart Simulator.
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DOI：
10.1007/s12265-020-10038-z
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发表时间：
2021-04
影响因子：
3.4
通讯作者：
Woo YJ
中科院分区：
文献类型：
--
作者：
Zhu Y;Imbrie-Moore AM;Paulsen MJ;Priromprintr B;Park MH;Wang H;Lucian HJ;Farry JM;Woo YJ
虽然离体模拟是外科手术优化的重要工具，但需要一个模拟人类主动脉瓣脱垂引起的主动脉反流（AR）的疾病模型来准确地检查瓣膜的生物力学。为了模拟AR，我们将4个猪主动脉瓣外植，将两个最大的瓣叶之间的连接分离，再低5mm植入，以诱导瓣尖脱垂。另外四个阀门在其原始状态下作为对照进行了测试。在心脏模拟器中测试所有瓣膜，同时收集血流动力学、高速摄像和超声心动图数据。我们的AR模型成功再现了鼻尖脱垂，与对照组相比，返流量显著增加（23.2±8.9 ml比2.8±1.6 ml, p=0.017）。血流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反流。这种新型的AR模型在评估瓣膜生物力学和外科修复技术方面具有巨大的潜力。
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 5mm 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.
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影响因子：
1.5
作者：
Babin-Ebell, J.;De Vivo, F.;Roth, P.
通讯作者：
Roth, P.
影响因子：
2.4
作者：
Li, J;Luo, XY;Kuang, ZB
通讯作者：
Kuang, ZB
DOI：
10.1016/j.jtcvs.2018.10.145
发表时间：
2019-08-01
影响因子：
6
作者：
Paulsen, Michael J.;Kasinpila, Patpilai;Woo, Y. Joseph
通讯作者：
Woo, Y. Joseph
影响因子：
37.8
作者：
Roberts, WC;Ko, JM
通讯作者：
Ko, JM
DOI：
10.1016/j.jtcvs.2008.08.054
发表时间：
2009-02-01
影响因子：
6
作者：
Boodhwani, Munir;de Kerchove, Laurent;El Khoury, Gebrine
通讯作者：
El Khoury, Gebrine