Jolley Matthew, Stinstra Jeroen, Pieper Steve, Macleod Rob, Brooks Dana H, Cecchin Frank, Triedman John K
Department of Cardiology, Children's Hospital Boston, Boston, Massachusetts 02115, USA.
Heart Rhythm. 2008 Apr;5(4):565-72. doi: 10.1016/j.hrthm.2008.01.018. Epub 2008 Jan 17.
Use of implantable cardiac defibrillators (ICDs) in children and patients with congenital heart disease is complicated by body size and anatomy. A variety of creative implantation techniques has been used empirically in these groups on an ad hoc basis.
To rationalize ICD placement in special populations, we used subject-specific, image-based finite element models (FEMs) to compare electric fields and expected defibrillation thresholds (DFTs) using standard and novel electrode configurations.
FEMs were created by segmenting normal torso computed tomography scans of subjects ages 2, 10, and 29 years and 1 adult with congenital heart disease into tissue compartments, meshing, and assigning tissue conductivities. The FEMs were modified by interactive placement of ICD electrode models in clinically relevant electrode configurations, and metrics of relative defibrillation safety and efficacy were calculated.
Predicted DFTs for standard transvenous configurations were comparable with published results. Although transvenous systems generally predicted lower DFTs, a variety of extracardiac orientations were also predicted to be comparably effective in children and adults. Significant trend effects on DFTs were associated with body size and electrode length. In many situations, small alterations in electrode placement and patient anatomy resulted in significant variation of predicted DFT. We also show patient-specific use of this technique for optimization of electrode placement.
Image-based FEMs allow predictive modeling of defibrillation scenarios and predict large changes in DFTs with clinically relevant variations of electrode placement. Extracardiac ICDs are predicted to be effective in both children and adults. This approach may aid both ICD development and patient-specific optimization of electrode placement. Further development and validation are needed for clinical or industrial utilization.
在儿童和先天性心脏病患者中使用植入式心脏除颤器(ICD)因体型和解剖结构而变得复杂。在这些人群中,各种创造性的植入技术已被临时凭经验使用。
为了使特殊人群的ICD放置合理化,我们使用基于个体图像的有限元模型(FEM),通过标准和新型电极配置比较电场和预期除颤阈值(DFT)。
通过将2岁、10岁和29岁受试者以及1名患有先天性心脏病的成年人的正常躯干计算机断层扫描分割成组织隔室、网格化并指定组织电导率,创建有限元模型。通过在临床相关电极配置中交互式放置ICD电极模型对有限元模型进行修改,并计算相对除颤安全性和有效性的指标。
标准经静脉配置的预测DFT与已发表的结果相当。虽然经静脉系统通常预测DFT较低,但各种心外膜方向在儿童和成人中也被预测具有相当的有效性。对DFT有显著的趋势影响与体型和电极长度有关。在许多情况下,电极放置和患者解剖结构的微小改变会导致预测DFT的显著变化。我们还展示了该技术在个体患者中用于优化电极放置的情况。
基于图像的有限元模型允许对除颤情况进行预测建模,并预测电极放置的临床相关变化会导致DFT的大幅变化。心外膜ICD在儿童和成人中预计都是有效的。这种方法可能有助于ICD的开发和个体患者电极放置的优化。临床或工业应用还需要进一步的开发和验证。