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一种手动测量左心房储备应变方法相对于自动斑点追踪分析的验证。

Validation of a Manual Method for Measuring Left Atrial Reservoir Strain Against Automated Speckle Tracking Analysis.

作者信息

Leitman Marina, Tyomkin Vladimir

机构信息

Department of Cardiology, Shamir Medical Center, Zerifin 70300, Israel.

Gray Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv 69978, Israel.

出版信息

Diagnostics (Basel). 2025 Aug 19;15(16):2073. doi: 10.3390/diagnostics15162073.

Abstract

Left atrial strain, particularly reservoir strain, has emerged as a sensitive marker of left atrial function and an early indicator of diastolic dysfunction and cardiovascular risk. However, automated left atrial strain analysis is not universally available, particularly in resource-limited settings. In this study, we propose a manual method for calculating biplane left atrial reservoir strain and validate its agreement with automated software in patients with atrial fibrillation and in sinus rhythm. Echocardiography examinations from 30 patients with atrial fibrillation and 30 patients in sinus rhythm were analyzed. Left atrial reservoir strain was calculated using both an automatic speckle tracking imaging-based algorithm and a manual point-by-point method based on atrial wall delineation. Agreement between methods was assessed using Pearson correlation, Bland-Altman analysis, and intraclass correlation coefficient. Strong correlation and excellent agreement were observed between the two methods in both groups. Pearson correlation coefficients were r = 0.95 ( < 0.0001) in the atrial fibrillation group and r = 0.94 ( < 0.0001) in the sinus rhythm group. Bland-Altman analysis showed narrow limits of agreement, particularly in the atrial fibrillation group. The intraclass correlation coefficient was 0.95 in atrial fibrillation and 0.92 in sinus rhythm, indicating excellent reliability. The standard error of measurement and minimal detectable change were low in both groups. Manual measurement of left atrial reservoir strain is feasible, reproducible, and demonstrates excellent agreement with automated software. It may serve as a reliable alternative in clinical scenarios where automated tools are unavailable.

摘要

左心房应变,尤其是储存期应变,已成为左心房功能的敏感标志物以及舒张功能障碍和心血管风险的早期指标。然而,自动左心房应变分析并非普遍可用,尤其是在资源有限的环境中。在本研究中,我们提出了一种计算双平面左心房储存期应变的手动方法,并在心房颤动患者和窦性心律患者中验证其与自动化软件的一致性。分析了30例心房颤动患者和30例窦性心律患者的超声心动图检查结果。使用基于自动散斑追踪成像的算法和基于心房壁描绘的手动逐点方法计算左心房储存期应变。使用Pearson相关性分析、Bland-Altman分析和组内相关系数评估两种方法之间的一致性。在两组中,两种方法之间均观察到强相关性和极佳的一致性。心房颤动组的Pearson相关系数r = 0.95(<0.0001),窦性心律组的r = 0.94(<0.0001)。Bland-Altman分析显示一致性界限较窄,尤其是在心房颤动组中。心房颤动组的组内相关系数为0.95,窦性心律组为0.92,表明可靠性极佳。两组的测量标准误差和最小可检测变化均较低。手动测量左心房储存期应变是可行的、可重复的,并且与自动化软件显示出极佳的一致性。在没有自动化工具的临床场景中,它可能是一种可靠的替代方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6e7/12386065/8dd2da77c3ff/diagnostics-15-02073-g001.jpg

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