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A new index measured by cardiovascular magnetic resonance imaging to detect mechanical heart valve malfunction

机译:通过心血管磁共振成像测量的新指标,以检测机械性心脏瓣膜故障

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More than two thirds of valve replacement operations performed each year used mechanical heart valve. These valves are subject to complications such: pannus and/or thrombus formation. One other potential complication is a malfunction in one of the valve leaflets. It is then important to develop parameters that will allow a non-invasive diagnosis of such valve malfunction. In the present study, we evaluated under steady low flow (1–8 L/min) and pulsatile flow (3, 5 and 7 L/min) a bileafleat mechanical heart valve with normal function, 50% and 100% of one valve leaflet malfunction. Image analysis was performed using cardiovascular magnetic resonance imaging to evaluate transvalvular pressure gradients (TPG), effective orifice area and a new index given by central/lateral velocity ratio downstream of the valve. Our results showed that the flow upstream and downstream of the defective valve is highly influenced by malfunction severity. TPG did not allow differentiating valve malfunction at low flow under steady and pulsatile conditions. However the new index given by central/lateral ratio allowed differentiating the presence of valve malfunction using a single transverse velocity measurement.
机译:每年执行的瓣膜更换操作中有三分之二以上使用机械心脏瓣膜。这些瓣膜容易发生并发症:血管pan和/或血栓形成。另一种潜在的并发症是瓣膜小叶之一发生故障。因此,重要的是要开发出可以无创诊断此类瓣膜功能异常的参数。在本研究中,我们评估了在正常低流量(1–8 L / min)和脉动流量(3、5和7 L / min)下,双功能机械心脏瓣膜功能正常,一只瓣膜小叶的50%和100%故障。使用心血管磁共振成像进行图像分析,以评估跨瓣压力梯度(TPG),有效孔口面积和由瓣膜下游的中央/侧向速度比给出的新指标。我们的结果表明,故障阀的上游和下游的流量受故障严重性的影响很大。在稳定和脉动条件下,TPG不允许在低流量时区分阀故障。但是,由中心/横向比给出的新指标允许使用单个横向速度测量值来区分阀门故障的存在。

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