Spitzer Ernest, Ren Ben, Zijlstra Felix, Mieghem Nicolas M Van, Geleijnse Marcel L
Cardiology, Thoraxcenter, Erasmus University Medical Center,Rotterdam, the Netherlands.
Cardialysis, Clinical Trial Management & Core Laboratories,Rotterdam, the Netherlands.
Card Fail Rev. 2017 Nov;3(2):97-101. doi: 10.15420/cfr.2017:14.1.
Ejection fraction is one of the most powerful determinants of prognosis and is a crucial parameter for the determination of cardiovascular therapies in conditions such as heart failure, valvular conditions and ischaemic heart disease. Among echocardiographic methods, 3D echocardiography has been attributed as the preferred one for its assessment, given an increased accuracy and reproducibility. Full-volume multi-beat acquisitions are prone to stitching artefacts due to arrhythmias and require prolonged breath holds. Single-beat acquisitions exhibit a lower temporal resolution, but address the limitations of multi-beat acquisitions. If not fully automated, 3D echocardiography remains time-consuming and resource-intensive, with suboptimal observer variability, preventing its implementation in routine practice. Further developments in hardware and software, including fully automated knowledge-based algorithms for left ventricular quantification, may bring 3D echocardiography to a definite turning point.
射血分数是预后的最有力决定因素之一,也是确定心力衰竭、瓣膜病和缺血性心脏病等病症心血管治疗方案的关键参数。在超声心动图方法中,鉴于准确性和可重复性的提高,三维超声心动图被认为是评估射血分数的首选方法。全容积多搏采集由于心律失常容易出现拼接伪像,并且需要长时间屏气。单搏采集的时间分辨率较低,但解决了多搏采集的局限性。如果不是完全自动化,三维超声心动图仍然耗时且资源密集,观察者变异性欠佳,这阻碍了其在常规实践中的应用。硬件和软件的进一步发展,包括用于左心室定量的完全自动化的基于知识的算法,可能会使三维超声心动图迎来一个决定性的转折点。