Müller Hajo, Reverdin Stéphane, Burri Haran, Shah Dipen, Lerch René
Division of Cardiology, University Hospital of Geneva, Switzerland.
Echocardiography. 2014 Apr;31(4):499-507. doi: 10.1111/echo.12391. Epub 2013 Oct 15.
Real time full-volume 3D echocardiography (3DE) allows rapid and noninvasive measurement of left (LA) and right atrial (RA) volume without geometric assumptions. Different algorithms from different commercial providers are available. Older software requires manual tracing of endocardial contours. Recently, software with semiautomatic endocardial contour-finding algorithms has become available, which considerably speeds up the procedure. Our aim was to compare, in the same dataset, both LA and RA volumes determined by an algorithm involving manual tracing to the corresponding volumes obtained by an algorithm with semiautomatic contour detection.
Maximal atrial volumes were measured in 88 patients using a multiplane interpolation method algorithm based on manual planimetry of 8 slices. These volumes were compared with volumes determined by the QLAB 8.1 software using semiautomatic border detection.
Linear regression showed excellent correlation between volumes determined by manual and by semiautomatic software for both LA and RA (r(2) = 0.90 and 0.89, respectively, P < 0.001). Bland-Altman analysis of manual versus semiautomatic volume determination showed narrow 95% limits of agreement (-15.9 to +12.0 mL for LA volume and -13.9 to +12.2 mL for RA volume) with a minimal bias of -1.9 ± 7.0 mL and -0.8 ± 6.5 mL, respectively, by the semiautomatic method.
The semiautomatic border detection method shows excellent correlation for maximal LA and RA volume determination compared to the more time-consuming, multiplane interpolation method, with only slight underestimation. The results indicate that values of LA and RA volumes obtained by either algorithm can be compared, for example, during follow-up examinations.
实时全容积三维超声心动图(3DE)可在无需几何假设的情况下快速、无创地测量左心房(LA)和右心房(RA)容积。不同商业供应商提供了不同算法。较旧的软件需要手动描绘心内膜轮廓。最近,具有半自动心内膜轮廓检测算法的软件已经出现,这大大加快了操作过程。我们的目的是在同一数据集中比较通过手动描绘算法确定的LA和RA容积与通过半自动轮廓检测算法获得的相应容积。
使用基于8个切片手动平面测量的多平面插值方法算法,在88例患者中测量最大心房容积。将这些容积与使用半自动边界检测的QLAB 8.1软件确定的容积进行比较。
线性回归显示,手动和半自动软件确定的LA和RA容积之间具有极好的相关性(r²分别为0.90和0.89,P < 0.001)。手动与半自动容积测定的Bland-Altman分析显示,一致性界限狭窄(LA容积为-15.9至+12.0 mL,RA容积为-13.9至+12.2 mL),半自动方法的最小偏差分别为-1.9±7.0 mL和-0.8±6.5 mL。
与更耗时的多平面插值方法相比,半自动边界检测方法在确定最大LA和RA容积方面显示出极好的相关性,仅略有低估。结果表明,例如在随访检查期间,可以比较通过任一算法获得的LA和RA容积值。