Wagner Jennifer L, Landeck Bruce F, Hunter Kendall
Department of Bioengineering, University of Colorado, 12705 E. Montview Boulevard, Suite 100, Aurora, CO 80045 e-mail:
School of Medicine, University of Colorado, Aurora, CO 80045.
J Eng Sci Med Diagn Ther. 2018 Feb;1(1):0110071-110077. doi: 10.1115/1.4038408. Epub 2017 Nov 28.
Changes in left ventricle (LV) shape are observed in patients with pulmonary hypertension (PH). Quantification of ventricular shape could serve as a tool to noninvasively monitor pediatric patients with PH. Decomposing the shape of a ventricle into a series of components and magnitudes will facilitate differentiation of healthy and PH subjects. Parasternal short-axis echo images acquired from 53 pediatric subjects with PH and 53 age and sex-matched normal control subjects underwent speckle tracking using Velocity Vector Imaging (Siemens) to produce a series of x,y coordinates tracing the LV endocardium in each frame. Coordinates were converted to polar format after which the Fourier transform was used to derive shape component magnitudes in each frame. Magnitudes of the first 11 components were normalized to heart size (magnitude/LV length as measured on apical view) and analyzed across a single cardiac cycle. Logistic regression was used to test predictive power of the method. Fourier decomposition produced a series of shape components from short-axis echo views of the LV. Mean values for all 11 components analyzed were significantly different between groups (p < 0.05). The accuracy index of the receiver operator curve was 0.85. Quantification of LV shape can differentiate normal pediatric subjects from those with PH. Shape analysis is a promising method to precisely describe shape changes observed in PH. Differences between groups speak to intraventricular coupling that occurs in right ventricular (RV) overload. Further analysis investigating the correlation of shape to clinical parameters is underway.
肺动脉高压(PH)患者中可观察到左心室(LV)形状的变化。心室形状的量化可作为一种工具,用于对小儿肺动脉高压患者进行无创监测。将心室形状分解为一系列的组成部分和量值,将有助于区分健康受试者和肺动脉高压受试者。对53例小儿肺动脉高压患者以及53例年龄和性别匹配的正常对照受试者获取的胸骨旁短轴回声图像,使用速度向量成像(西门子)进行散斑追踪,以生成一系列x、y坐标,追踪每一帧中的左心室心内膜。坐标转换为极坐标格式后,使用傅里叶变换得出每一帧中的形状组成部分量值。前11个组成部分的量值根据心脏大小进行归一化处理(量值/在心尖视图上测量的左心室长度),并在单个心动周期内进行分析。使用逻辑回归来测试该方法的预测能力。傅里叶分解从左心室短轴回声视图中产生了一系列形状组成部分。两组之间分析的所有11个组成部分的平均值存在显著差异(p < 0.05)。受试者操作曲线的准确性指数为0.85。左心室形状的量化可以区分正常小儿受试者和肺动脉高压患者。形状分析是一种很有前景的方法,可精确描述肺动脉高压中观察到的形状变化。组间差异表明右心室(RV)负荷过重时发生的心室内耦合。正在进行进一步分析,研究形状与临床参数之间的相关性。