Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia.
Department of Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
Phys Med. 2020 Oct;78:137-149. doi: 10.1016/j.ejmp.2020.08.022. Epub 2020 Sep 29.
Differential diagnosis of hypertensive heart disease (HHD) and hypertrophic cardiomyopathy (HCM) is clinically challenging but important for treatment management. This study aims to phenotype HHD and HCM in 3D + time domain by using a multiparametric motion-corrected personalized modeling algorithm and cardiac magnetic resonance (CMR). 44 CMR data, including 12 healthy, 16 HHD and 16 HCM cases, were examined. Multiple CMR phenotype data consisting of geometric and dynamic variables were extracted globally and regionally from the models over a full cardiac cycle for comparison against healthy models and clinical reports. Statistical classifications were used to identify the distinctive characteristics and disease subtypes with overlapping functional data, providing insights into the challenges for differential diagnosis of both types of disease. While HCM is characterized by localized extreme hypertrophy of the LV, wall thickening/contraction/strain was found to be normal and in sync, though it was occasionally exaggerated at normotrophic/less severely hypertrophic regions during systole to preserve the overall ejection fraction (EF) and systolic functionality. Additionally, we observed that hypertrophy in HHD could also be localized, although at less extreme conditions (i.e. more concentric). While fibrosis occurs mostly in those HCM cases with aortic obstruction, only minority of HHD patients were found affected by fibrosis. We demonstrate that subgroups of HHD (i.e. preserved and reduced EF: HHDpEF & HHDrEF) have different 3D + time CMR characteristics. While HHDpEF has cardiac functions in normal range, dilation and heart failure are indicated in HHDrEF as reflected by low LV wall thickening/contraction/strain and synchrony, as well as much reduced EF.
高血压性心脏病(HHD)和肥厚型心肌病(HCM)的鉴别诊断具有临床挑战性,但对于治疗管理却非常重要。本研究旨在通过使用多参数运动校正个性化建模算法和心脏磁共振(CMR)对 3D+时间域中的 HHD 和 HCM 进行表型分析。共检查了 44 份 CMR 数据,包括 12 份健康对照、16 份 HHD 和 16 份 HCM 病例。从模型中提取了全局和局部的多个 CMR 表型数据,包括几何和动态变量,以与健康模型和临床报告进行比较。使用统计分类方法来识别具有重叠功能数据的特征和疾病亚型,为两种疾病的鉴别诊断提供了思路。HCM 的特征是 LV 局部极度肥厚,而我们发现壁增厚/收缩/应变正常且同步,尽管在收缩期偶尔会在正常/轻度肥厚区域过度增强,以维持整体射血分数(EF)和收缩功能。此外,我们还观察到 HHD 中的肥厚也可能是局部的,尽管程度较轻(即更向心性)。纤维化主要发生在那些主动脉瓣梗阻的 HCM 病例中,而只有少数 HHD 患者受到纤维化的影响。我们证明了 HHD 的亚组(即保留和降低的 EF:HHDpEF 和 HHDrEF)具有不同的 3D+时间 CMR 特征。HHDpEF 的心脏功能在正常范围内,而 HHDrEF 则表现为扩张和心力衰竭,这反映在 LV 壁增厚/收缩/应变和同步性降低以及 EF 明显降低上。