James T. Willerson Center for Cardiovascular Modeling and Simulation, The Oden Institute for Computational Engineering and Sciences and the Department of Biomedical Engineering, The University of Texas at Austin , 201 East 24th St., Stop C0200, Austin, TX, 78712-1229, USA.
Ascension Texas Cardiovascular & Division of Cardiology, Department of Internal Medicine, Dell Medical School, University of Texas, Austin, TX, USA.
Cardiovasc Eng Technol. 2023 Oct;14(5):677-693. doi: 10.1007/s13239-023-00680-4. Epub 2023 Sep 5.
Mitral regurgitation (MR) is a highly prevalent and deadly cardiac disease characterized by improper mitral valve (MV) leaflet coaptation. Among the plethora of available treatment strategies, the MitraClip is an especially safe option, but optimizing its long-term efficacy remains an urgent challenge.
We applied our noninvasive image-based strain computation pipeline [1] to intraoperative transesophageal echocardiography datasets taken from ten patients undergoing MitraClip repair, spanning a range of MR etiologies and MitraClip configurations. We then analyzed MV leaflet strains before and after MitraClip implementation to develop a better understanding of (1) the pre-operative state of human regurgitant MV, and (2) the MitraClip's impact on the MV leaflet deformations.
The MV pre-operative strain fields were highly variable, underscoring both the heterogeneity of the MR in the patient population and the need for patient-specific treatment approaches. Similarly, there were no consistent overall post-operative strain patterns, although the average A2 segment radial strain difference between pre- and post-operative states was consistently positive. In contrast, the post-operative strain fields were better correlated to their respective pre-operative strain fields than to the inter-patient post-operative strain fields. This quantitative result implies that the patient specific pre-operative state of the MV guides its post-operative deformation, which suggests that the post-operative state can be predicted using pre-operative data-derived modelling alone.
The pre-operative MV leaflet strain patterns varied considerably across the range of MR disease states and after MitraClip repair. Despite large inter-patient heterogeneity, the post-operative deformation appears principally dictated by the pre-operative deformation state. This novel finding suggests that though the variation in MR functional state and MitraClip-induced deformation were substantial, the post-operative state can be predicted from the pre-operative data alone. This study suggests that, with use of larger patient cohort and corresponding long-term outcomes, quantitative predictive factors of MitraClip durability can be identified.
二尖瓣反流(MR)是一种高度流行且致命的心脏疾病,其特征为二尖瓣(MV)瓣叶不当贴合。在众多可用的治疗策略中,MitraClip 是一种特别安全的选择,但优化其长期疗效仍然是一个紧迫的挑战。
我们应用了无创基于图像的应变计算管道[1],对 10 名接受 MitraClip 修复手术的患者的术中经食管超声心动图数据集进行了分析,这些患者涵盖了多种 MR 病因和 MitraClip 配置。然后,我们分析了实施 MitraClip 前后 MV 瓣叶的应变,以更好地了解(1)术前 MV 反流的状态,以及(2)MitraClip 对 MV 瓣叶变形的影响。
MV 术前应变场变化很大,这突出了患者人群中 MR 的异质性以及对患者特异性治疗方法的需求。同样,术后也没有一致的整体应变模式,尽管术前和术后状态之间的 A2 段径向应变差异平均值始终为正。相比之下,术后应变场与各自的术前应变场相关性更好,而与患者间的术后应变场相关性较差。这一量化结果表明,MV 的术前特定状态指导其术后变形,这表明仅使用术前数据衍生的建模即可预测术后状态。
在广泛的 MR 疾病状态范围以及 MitraClip 修复后,MV 瓣叶的术前应变模式差异很大。尽管存在很大的患者间异质性,但术后变形似乎主要由术前变形状态决定。这一新颖的发现表明,尽管 MR 功能状态和 MitraClip 引起的变形变化很大,但仅从术前数据即可预测术后状态。本研究表明,随着更大的患者队列和相应的长期结果的使用,可以确定 MitraClip 耐久性的定量预测因素。