Zhao Xiaodan, Tan Ru-San, Tang Hak-Chiaw, Teo Soo-Kng, Su Yi, Wan Min, Leng Shuang, Zhang Jun-Mei, Allen John, Kassab Ghassan S, Zhong Liang
National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore, Singapore.
Duke-NUS Medical School, Singapore, Singapore.
Front Physiol. 2018 Mar 28;9:250. doi: 10.3389/fphys.2018.00250. eCollection 2018.
Hypertrophic cardiomyopathy (HCM) patients present altered myocardial mechanics due to the hypertrophied ventricular wall and are typically diagnosed by the increase in myocardium wall thickness. This study aimed to quantify regional left ventricular (LV) shape, wall stress and deformation from cardiac magnetic resonance (MR) images in HCM patients and controls, in order to establish superior measures to differentiate HCM from controls. A total of 19 HCM patients and 19 controls underwent cardiac MR scans. The acquired MR images were used to reconstruct 3D LV geometrical models and compute the regional parameters (i.e., wall thickness, curvedness, wall stress, area strain and ejection fraction) based on the standard 16 segment model using our in-house software. HCM patients were further classified into four quartiles based on wall thickness at end diastole (ED) to assess the impact of wall thickness on these regional parameters. There was a significant difference between the HCM patients and controls for all regional parameters ( < 0.001). Wall thickness was greater in HCM patients at the end-diastolic and end-systolic phases, and thickness was most pronounced in segments at the septal regions. A multivariate stepwise selection algorithm identified wall stress index at ED (σ ) as the single best independent predictor of HCM (AUC = 0.947). At the cutoff value σ < 1.64, both sensitivity and specificity were 94.7%. This suggests that the end-diastolic wall stress index incorporating regional wall curvature-an index based on mechanical principle-is a sensitive biomarker for HCM diagnosis with potential utility in diagnostic and therapeutic assessment.
肥厚型心肌病(HCM)患者由于心室壁肥厚而出现心肌力学改变,通常通过心肌壁厚度增加来诊断。本研究旨在量化HCM患者和对照组心脏磁共振(MR)图像中左心室(LV)的区域形状、壁应力和变形,以建立区分HCM与对照组的更优指标。共有19例HCM患者和19例对照者接受了心脏MR扫描。利用采集到的MR图像重建三维LV几何模型,并使用我们内部的软件基于标准的16节段模型计算区域参数(即壁厚、曲率、壁应力、面积应变和射血分数)。根据舒张末期(ED)壁厚将HCM患者进一步分为四个四分位数,以评估壁厚对这些区域参数的影响。HCM患者和对照组在所有区域参数上均存在显著差异(<0.001)。HCM患者在舒张末期和收缩末期的壁厚更大,且在间隔区域的节段中厚度最为明显。多变量逐步选择算法确定舒张末期壁应力指数(σ )为HCM的单一最佳独立预测指标(AUC = 0.947)。在临界值σ < 1.64时,敏感性和特异性均为94.7%。这表明结合区域壁曲率的舒张末期壁应力指数——一种基于力学原理的指标——是HCM诊断的敏感生物标志物,在诊断和治疗评估中具有潜在应用价值。