Personalized Heart Digital Twins Detect Substrate Abnormalities in Scar-Dependent Ventricular Tachycardia.

IF 35.5 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
Circulation Pub Date : 2025-02-25 Epub Date: 2025-01-06 DOI:10.1161/CIRCULATIONAHA.124.070526
Michael C Waight, Adityo Prakosa, Anthony C Li, Nick Bunce, Anna Marciniak, Natalia A Trayanova, Magdi M Saba
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引用次数: 0

Abstract

Background: Current outcomes from catheter ablation for scar-dependent ventricular tachycardia (VT) are limited by high recurrence rates and long procedure durations. Personalized heart digital twin technology presents a noninvasive method of predicting critical substrate in VT, and its integration into clinical VT ablation offers a promising solution. The accuracy of the predictions of digital twins to detect invasive substrate abnormalities is unknown. We present the first prospective analysis of digital twin technology in predicting critical substrate abnormalities in VT.

Methods: Heart digital twin models were created from 18 patients with scar-dependent VT undergoing catheter ablation. Contrast-enhanced cardiac magnetic resonance images were used to reconstruct finite-element meshes, onto which regional electrophysiological properties were applied. Rapid-pacing protocols were used to induce VTs and to define the VT circuits. Predicted optimum ablation sites to terminate all VTs in the models were identified. Invasive substrate mapping was performed, and the digital twins were merged with the electroanatomical map. Electrogram abnormalities and regions of conduction slowing were compared between digital twin-predicted sites and nonpredicted areas.

Results: Electrogram abnormalities were significantly more frequent in digital twin-predicted sites compared with nonpredicted sites (468/1029 [45.5%] versus 519/1611 [32.2%]; P<0.001). Electrogram duration was longer at predicted sites compared with nonpredicted sites (82.0±25.9 milliseconds versus 69.7±22.3 milliseconds; P<0.001). Digital twins correctly identified 21 of 26 (80.8%) deceleration zones seen on isochronal late activation mapping.

Conclusions: Digital twin-predicted sites display a higher prevalence of abnormal and prolonged electrograms compared with nonpredicted sites and accurately identify regions of conduction slowing. Digital twin technology may help improve substrate-based VT ablation.

Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT04632394.

个性化心脏数字双胞胎检测疤痕依赖性室性心动过速的底物异常。
背景:目前疤痕依赖性室性心动过速(VT)的导管消融治疗结果受复发率高和手术时间长的限制。个性化心脏数字孪生技术提供了一种无创预测室速临界基底的方法,将其整合到临床室速消融中提供了一种很有前途的解决方案。数字双胞胎预测侵入性基质异常的准确性尚不清楚。我们首次对数字孪生技术在预测室性心动过速关键底物异常中的应用进行了前瞻性分析。方法:对18例接受导管消融的疤痕依赖性室性心动过速患者建立了心脏数字孪生模型。对比增强心脏磁共振图像用于重建有限元网格,并应用区域电生理特性。采用快速起搏方案诱导室速并定义室速回路。确定了模型中终止所有VTs的预测最佳消融位置。进行有创基底图绘制,并将数字双胞胎与电解剖图合并。在数字孪生预测区域和非预测区域之间比较了电异常和传导减慢区域。结果:数字孪生预测位点的电异常明显高于非预测位点(468/1029 [45.5%]vs . 519/1611 [32.2%];结论:与非预测位点相比,数字孪生预测位点显示出更高的异常和延长的电图发生率,并准确识别传导减慢的区域。数字孪生技术可能有助于改善基于基片的VT消融。注册:网址:https://www.clinicaltrials.gov;唯一标识符:NCT04632394。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Circulation
Circulation 医学-外周血管病
CiteScore
45.70
自引率
2.10%
发文量
1473
审稿时长
2 months
期刊介绍: Circulation is a platform that publishes a diverse range of content related to cardiovascular health and disease. This includes original research manuscripts, review articles, and other contributions spanning observational studies, clinical trials, epidemiology, health services, outcomes studies, and advancements in basic and translational research. The journal serves as a vital resource for professionals and researchers in the field of cardiovascular health, providing a comprehensive platform for disseminating knowledge and fostering advancements in the understanding and management of cardiovascular issues.
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