Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA.
Heart Rhythm. 2013 Aug;10(8):1109-16. doi: 10.1016/j.hrthm.2013.04.015. Epub 2013 Apr 19.
Previous studies suggest that magnetic resonance imaging with late gadolinium enhancement (LGE) may identify slowly conducting tissues in scar-related ventricular tachycardia (VT).
To test the feasibility of image-based simulation based on LGE to estimate ablation targets in VT.
We conducted a retrospective study in 13 patients who had preablation magnetic resonance imaging for scar-related VT ablation. We used image-based simulation to induce VT and estimate target regions according to the simulated VT circuit. The estimated target regions were coregistered with the LGE scar map and the ablation sites from the electroanatomical map in the standard ablation approach.
In image-based simulation, VT was inducible in 12 (92.3%) patients. All VTs showed macroreentrant propagation patterns, and the narrowest width of estimated target region that an ablation line should span to prevent VT recurrence was 5.0 ± 3.4 mm. Of 11 patients who underwent ablation, the results of image-based simulation and the standard approach were consistent in 9 (82%) patients, where ablation within the estimated target region was associated with acute success (n = 8) and ablation outside the estimated target region was associated with failure (n = 1). In 1 (9%) case, the results of image-based simulation and the standard approach were inconsistent, where ablation outside the estimated target region was associated with acute success.
The image-based simulation can be used to estimate potential ablation targets of scar-related VT. The image-based simulation may be a powerful noninvasive tool for preprocedural planning of ablation procedures to potentially reduce the procedure time and complication rates.
先前的研究表明,钆延迟增强磁共振成像(LGE)可能识别与瘢痕相关的室性心动过速(VT)中的缓慢传导组织。
测试基于 LGE 的图像模拟估计 VT 消融靶点的可行性。
我们对 13 例因瘢痕相关 VT 消融而行消融前磁共振成像的患者进行了回顾性研究。我们使用基于图像的模拟来诱发 VT,并根据模拟 VT 回路来估计目标区域。估计的目标区域与 LGE 瘢痕图和标准消融方法中的电解剖图上的消融部位进行配准。
在基于图像的模拟中,12 例(92.3%)患者可诱发 VT。所有 VT 均显示出宏观折返传播模式,消融线应跨越以防止 VT 复发的估计目标区域的最窄宽度为 5.0 ± 3.4mm。在 11 例接受消融的患者中,基于图像的模拟和标准方法的结果在 9 例(82%)患者中一致,其中在估计的目标区域内消融与急性成功相关(n = 8),而在估计的目标区域外消融与失败相关(n = 1)。在 1 例(9%)患者中,基于图像的模拟和标准方法的结果不一致,其中在估计的目标区域外消融与急性成功相关。
基于图像的模拟可用于估计与瘢痕相关的 VT 的潜在消融靶点。基于图像的模拟可能是一种强大的非侵入性工具,可用于消融程序的术前规划,从而有可能减少手术时间和并发症发生率。