Morgan Ashley E, Kashani Atefeh, Zenger Brian, Rupp Lindsay C, Perez Maura D, Foote Markus D, Morris Alan K, Ratcliffe Mark B, Kim Jiwon J, Weinsaft Jonathan W, Sharma Vikas, MacLeod Rob S, Elhabian Shireen
University of Utah, Salt Lake City, UT, USA.
University of California, San Francisco, and the San Francisco VA Medical Center.
Comput Cardiol (2010). 2020 Sep;47. doi: 10.22489/cinc.2020.346. Epub 2021 Feb 10.
Tricuspid regurgitation (TR) is a failure in right-sided AV valve function which, if left untreated, leads to marked cardiac shape changes and heart failure. However, the specific right ventricular shape changes resulting from TR are unknown. The goal of this study is to characterize the RV shape changes of patients with severe TR. RVs were segmented from CINE MRI images. Using particle-based shape modeling (PSM), a dense set of homologous landmarks were placed with geometric consistency on the endocardial surface of each RV, via an entropy-based optimization of the information content of the shape model. Principal component analysis (PCA) identified the significant modes of shape variation across the population. These modes were used to create a patient-prediction model. 32 patients and 6 healthy controls were studied. The mean RV shape of TR patients demonstrated increased sphericity relative to controls, with the three most dominant modes of variation showing significant widening of the short axis of the heart, narrowing of the base at the RV outflow tract (RVOT), and blunting of the RV apex. By PCA, shape changes based on the first three modes of variation correctly identified patient vs. control hearts 86.5% of the time. The shape variation may further illuminate the mechanics of TR-induced RV failure and recovery, providing potential targets for therapies including novel devices and surgical interventions.
三尖瓣反流(TR)是右侧房室瓣功能障碍,如果不进行治疗,会导致明显的心脏形态改变和心力衰竭。然而,TR导致的右心室具体形态变化尚不清楚。本研究的目的是描述重度TR患者右心室的形态变化。通过心脏磁共振成像(CINE MRI)图像对右心室进行分割。使用基于粒子的形状建模(PSM),通过基于熵优化形状模型的信息含量,在每个右心室的心内膜表面以几何一致性放置一组密集的同源地标点。主成分分析(PCA)确定了整个人群中形状变化的显著模式。这些模式用于创建患者预测模型。研究了32例患者和6名健康对照者。TR患者的平均右心室形态相对于对照组显示出球形度增加,三种最主要的变化模式显示心脏短轴明显增宽、右心室流出道(RVOT)基部变窄以及右心室尖部变钝。通过PCA,基于前三种变化模式的形状变化在86.5%的时间内正确识别了患者与对照心脏。这种形状变化可能会进一步阐明TR引起的右心室衰竭和恢复的机制,为包括新型器械和手术干预在内的治疗提供潜在靶点。