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对明显的辅助路径进行三角波自动映射
Saverio Iacopino1, Gennaro Fabiano1, Paolo Sorrenti1
1Electrophysiology Department, Maria Cecilia Hospital, GVM Care & Research, Cotignola, Italy.
一个新的三角波自动映射工作流准确地识别了沃尔夫-帕金森-怀特综合征 (WPW) 中的辅助途径切除部位. 这种方法提高了射频导管切除 (RFCA) 的有效性,减少了多次射频应用的需要.
科学领域:
- 电力生理学 电力生理学
- 心脏病学 心脏病学
- 医疗技术 医疗技术 医学技术
背景情况:
- 射频导管切除 (RFCA) 对沃尔夫-帕金森-怀特综合征 (WPW) 有效.
- 精确定位切除部位仍然是一个挑战,可能需要多个RF应用.
研究的目的:
- 为了评估一种新的工作流程,Delta Wave自动映射,用于自动和精确地识别辅助途径切除部位.
- 评估工作流在增强RFCA显而易见的辅助路径的有效性.
主要方法:
- 通过CARTO 3系统和自动获取算法利用了电解剖绘图 (EAM).
- 使用灌式尖端导管与接触力传感器进行映射和切除.
- 测量了射频应用,效果的时间和复发;分析了线下历史预测因素.
主要成果:
- 成功消除所有50个辅助路径 (AP),平均效果时间 (TTE) 为2.0秒.
- 在中位数为10个月的随访期间,没有观察到AP复发.
- 在100%的患者中识别了肯特捆绑信号;在52%的患者中,切除前的三角形/心室间隔≤-10毫秒.
结论:
- 德尔塔波自动映射工作流可以有效地定位AP,而不需要手动输入.
- 离线分析证实了历史预测因素与自动注释的消去目标之间的对应性.
- 这种新的工作流显示了提高RFCA在明显AP中的有效性.
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