School of Biomedical Engineering and Imaging Sciences, Rayne Institute, 4th Floor, Lambeth Wing, St. Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, United Kingdom.
Institute of Cardiovascular Science, University College London, London, United Kingdom; Electrophysiology Department, Barts Heart Centre, St Bartholomew's Hospital, London, United Kingdom.
Comput Biol Med. 2021 Mar;130:104214. doi: 10.1016/j.compbiomed.2021.104214. Epub 2021 Jan 11.
Identification of targets for ablation of post-infarction ventricular tachycardias (VTs) remains challenging, often requiring arrhythmia induction to delineate the reentrant circuit. This carries a risk for the patient and may not be feasible. Substrate mapping has emerged as a safer strategy to uncover arrhythmogenic regions. However, VT recurrence remains common.
To use computer simulations to assess the ability of different substrate mapping approaches to identify VT exit sites.
A 3D computational model of the porcine post-infarction heart was constructed to simulate VT and paced rhythm. Electroanatomical maps were constructed based on endocardial electrogram features and the reentry vulnerability index (RVI - a metric combining activation (AT) and repolarization timings to identify tissue susceptibility to reentry). Since scar transmurality in our model was not homogeneous, parameters derived from all signals (including dense scar regions) were used in the analysis. Potential ablation targets obtained from each electroanatomical map during pacing were compared to the exit site detected during VT mapping.
Simulation data showed that voltage cut-offs applied to bipolar electrograms could delineate the scar, but not the VT circuit. Electrogram fractionation had the highest correlation with scar transmurality. The RVI identified regions closest to VT exit site but was outperformed by AT gradients combined with voltage cut-offs. The performance of all metrics was affected by pacing location.
Substrate mapping could provide information about the infarct, but the directional dependency on activation should be considered. Activation-repolarization metrics have utility in safely identifying VT targets, even with non-transmural scars.
识别梗死后室性心动过速 (VT) 的消融靶点仍然具有挑战性,通常需要心律失常诱导来描绘折返环。这对患者有风险,并且可能不可行。底物标测已成为发现致心律失常区域的更安全策略。然而,VT 复发仍然很常见。
使用计算机模拟评估不同底物标测方法识别 VT 出口部位的能力。
构建了猪梗死后心脏的 3D 计算模型,以模拟 VT 和起搏节律。根据心内膜电图特征和折返脆弱性指数 (RVI - 一种结合激活 (AT) 和复极时间以识别组织易发性的指标) 构建电生理标测图。由于我们模型中的瘢痕透壁性不均匀,因此在分析中使用了来自所有信号(包括密集瘢痕区域)的参数。比较起搏过程中从每个电生理标测图获得的潜在消融靶点与 VT 标测期间检测到的出口部位。
模拟数据表明,应用于双极电图的电压截止值可以描绘瘢痕,但不能描绘 VT 电路。电图的碎裂与瘢痕透壁性具有最高的相关性。RVI 确定了与 VT 出口部位最接近的区域,但不如 AT 梯度与电压截止值相结合的方法。所有指标的性能都受到起搏位置的影响。
底物标测可以提供关于梗死的信息,但应考虑激活的方向依赖性。激活-复极指标即使在非透壁性瘢痕中也具有识别 VT 靶点的实用性。