Patient-Specific Quantitative In-Vivo Assessment of Human Mitral Valve Leaflet Strain Before and After MitraClip Repair.

IF 1.6 4区 医学 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS Cardiovascular Engineering and Technology Pub Date : 2023-10-01 Epub Date: 2023-09-05 DOI:10.1007/s13239-023-00680-4
Natalie T Simonian, Hao Liu, Sneha Vakamudi, Mark J Pirwitz, Alison M Pouch, Joseph H Gorman, Robert C Gorman, Michael S Sacks
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Abstract

Purpose: 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.

Methods: 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.

Results: 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.

Conclusions: 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.

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MitraClip修复前后人二尖瓣小叶应变的患者特异性体内定量评估。
目的:二尖瓣反流(MR)是一种非常普遍且致命的心脏病,其特征是二尖瓣(MV)瓣叶接合不当。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。方法:我们将基于非侵入性图像的应变计算管道[1]应用于术中经食管超声心动图数据集,该数据集取自10名接受MitraClip修复的患者,涵盖了一系列MR病因和MitraClib配置。然后,我们分析了MitraClip实施前后的MV瓣叶菌株,以更好地了解(1)人类反流MV的术前状态,以及(2)MitraCli对MV瓣叶变形的影响。结果:MV术前应变场变化很大,突出了患者群体中MR的异质性和对患者特异性治疗方法的需求。同样,尽管术前和术后状态之间的平均A2节段径向应变差异始终为正,但术后总体应变模式并不一致。相反,术后应变场与其各自的术前应变场的相关性比与患者间术后应力场的相关性更好。这一定量结果表明,MV的患者特定术前状态指导其术后变形,这表明术后状态可以单独使用术前数据导出的模型来预测。结论:术前MV瓣叶应变模式在不同MR疾病状态和MitraClip修复后有很大差异。尽管患者间存在很大的异质性,但术后变形似乎主要由术前变形状态决定。这一新发现表明,尽管MR功能状态的变化和MitraClip诱导的变形是显著的,但仅从术前数据就可以预测术后状态。这项研究表明,通过使用更大的患者队列和相应的长期结果,可以确定MitraClip耐久性的定量预测因素。
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来源期刊
Cardiovascular Engineering and Technology
Cardiovascular Engineering and Technology Engineering-Biomedical Engineering
CiteScore
4.00
自引率
0.00%
发文量
51
期刊介绍: Cardiovascular Engineering and Technology is a journal publishing the spectrum of basic to translational research in all aspects of cardiovascular physiology and medical treatment. It is the forum for academic and industrial investigators to disseminate research that utilizes engineering principles and methods to advance fundamental knowledge and technological solutions related to the cardiovascular system. Manuscripts spanning from subcellular to systems level topics are invited, including but not limited to implantable medical devices, hemodynamics and tissue biomechanics, functional imaging, surgical devices, electrophysiology, tissue engineering and regenerative medicine, diagnostic instruments, transport and delivery of biologics, and sensors. In addition to manuscripts describing the original publication of research, manuscripts reviewing developments in these topics or their state-of-art are also invited.
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