National Heart and Lung Institute, Imperial College London, London, UK.
Medical Research Council London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, London, UK.
Anaesthesia. 2019 Mar;74(3):312-320. doi: 10.1111/anae.14494. Epub 2018 Nov 14.
Right ventricular (RV) function has prognostic value in acute, chronic and peri-operative disease, although the complex RV contractile pattern makes rapid assessment difficult. Several two-dimensional (2D) regional measures estimate RV function, however the optimal measure is not known. High-resolution three-dimensional (3D) cardiac magnetic resonance cine imaging was acquired in 300 healthy volunteers and a computational model of RV motion created. Points where regional function was significantly associated with global function were identified and a 2D, optimised single-point marker (SPM-O) of global function developed. This marker was prospectively compared with tricuspid annular plane systolic excursion (TAPSE), septum-freewall displacement (SFD) and their fractional change (TAPSE-F, SFD-F) in a test cohort of 300 patients in the prediction of RV ejection fraction. RV ejection fraction was significantly associated with systolic function in a contiguous 7.3 cm patch of the basal RV freewall combining transverse (38%), longitudinal (35%) and circumferential (27%) contraction and coinciding with the four-chamber view. In the test cohort, all single-point surrogates correlated with RV ejection fraction (p < 0.010), but correlation (R) was higher for SPM-O (R = 0.44, p < 0.001) than TAPSE (R = 0.24, p < 0.001) and SFD (R = 0.22, p < 0.001), and non-significantly higher than TAPSE-F (R = 0.40, p < 0.001) and SFD-F (R = 0.43, p < 0.001). SPM-O explained more of the observed variance in RV ejection fraction (19%) and predicted it more accurately than any other 2D marker (median error 2.8 ml vs 3.6 ml, p < 0.001). We conclude that systolic motion of the basal RV freewall predicts global function more accurately than other 2D estimators. However, no markers summarise 3D contractile patterns, limiting their predictive accuracy.
右心室(RV)功能在急性、慢性和围手术期疾病中具有预后价值,尽管 RV 收缩模式复杂,使得快速评估变得困难。有几种二维(2D)局部测量方法可以评估 RV 功能,但最佳方法尚不清楚。在 300 名健康志愿者中采集了高分辨率三维(3D)心脏磁共振电影图像,并创建了 RV 运动的计算模型。确定了与整体功能显著相关的局部功能点,并开发了 2D 优化单点标记物(SPM-O)来评估整体功能。该标记物在 300 例患者的测试队列中前瞻性地与三尖瓣环平面收缩期位移(TAPSE)、室间隔游离壁位移(SFD)及其分数变化(TAPSE-F、SFD-F)进行了比较,以预测 RV 射血分数。RV 射血分数与 RV 基底部游离壁连续 7.3cm 节段的收缩功能显著相关,包括横向(38%)、纵向(35%)和周向(27%)收缩,与四腔心观一致。在测试队列中,所有单点替代物与 RV 射血分数均相关(p<0.010),但 SPM-O(R=0.44,p<0.001)与 TAPSE(R=0.24,p<0.001)和 SFD(R=0.22,p<0.001)的相关性更高,与 TAPSE-F(R=0.40,p<0.001)和 SFD-F(R=0.43,p<0.001)的相关性非显著更高。SPM-O 解释了 RV 射血分数更多的可观察方差(19%),并且比任何其他 2D 标志物都更准确地预测了 RV 射血分数(中位数误差 2.8ml 与 3.6ml,p<0.001)。我们得出结论,RV 基底部游离壁的收缩运动比其他 2D 估计值更准确地预测整体功能。然而,没有任何标志物可以概括 3D 收缩模式,限制了它们的预测准确性。