He Jiyue, Jang Kuk Jin, Walsh Katie, Liang Jackson, Dixit Sanjay, Mangharam Rahul
Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:5941-5944. doi: 10.1109/EMBC.2019.8856704.
Left atrial voltage maps are routinely acquired during electroanatomic mapping in patients undergoing catheter ablation for atrial fibrillation (AF). For patients, who have prior catheter ablation when they are in sinus rhythm (SR), the voltage map can be used to identify low voltage areas (LVAs) using a threshold of 0.2 - 0.45 mV. However, such a voltage threshold for maps acquired during AF has not been well established. A prerequisite for defining a voltage threshold is to maximize the topologically matched LVAs between the electroanatomic mapping acquired during AF and SR. This paper demonstrates a new technique to improve the sensitivity and specificity of the matched LVA. This is achieved by computing omni-directional bipolar voltages and applying Gaussian Process Regression based interpolation to derive the AF map. The proposed method is evaluated on a test cohort of 7 male patients, and a total of 46,589 data points were included in analysis. The LVAs in the posterior left atrium and pulmonary vein junction are determined using the standard method and the proposed method. Overall, the proposed method showed patient-specific sensitivity and specificity in matching LVAs of 75.70% and 65.55% for a geometric mean of 70.69%. On average, there was an improvement of 3.00% in the geometric mean, 7.88% improvement in sensitivity, 0.30% improvement in specificity compared to the standard method. The results show that the proposed method is an improvement in matching LVA. This may help develop the voltage threshold to better identify LVA in the left atrium for patients in AF.
在接受房颤(AF)导管消融术的患者进行电解剖标测时,通常会获取左心房电压图。对于在窦性心律(SR)时曾接受过导管消融术的患者,电压图可用于通过使用0.2 - 0.45 mV的阈值来识别低电压区域(LVA)。然而,对于在房颤期间获取的图而言,这样的电压阈值尚未明确确立。定义电压阈值的一个先决条件是使房颤期间和窦性心律期间获取的电解剖标测之间拓扑匹配的低电压区域最大化。本文展示了一种新技术,可提高匹配低电压区域的敏感性和特异性。这是通过计算全向双极电压并应用基于高斯过程回归的插值来推导房颤图实现的。所提出的方法在7名男性患者的测试队列上进行了评估,分析中总共纳入了46,589个数据点。使用标准方法和所提出的方法确定左心房后壁和肺静脉交界处的低电压区域。总体而言,所提出的方法在匹配低电压区域方面显示出针对患者的敏感性和特异性,几何平均值分别为75.70%和65.55%,总体为70.69%。与标准方法相比,几何平均值平均提高了3.00%,敏感性提高了7.88%,特异性提高了0.30%。结果表明,所提出的方法在匹配低电压区域方面有所改进。这可能有助于制定电压阈值,以便更好地识别房颤患者左心房中的低电压区域。