高密度网格导管间距和方向对疤痕阈值的影响。

M. Takigawa, J. Relan, T. Kitamura, Claire A. Martin, Steven J. Kim, Ruairidh Martin, G. Cheniti, K. Vlachos, G. Massoullié, A. Frontera, N. Thompson, Michael Wolf, F. Bourier, A. Lam, J. Duchâteau, T. Pambrun, A. Denis, N. Derval, X. Pillois, J. Magat, J. Naulin, M. Merle, Florent Collot, B. Quesson, H. Cochet, M. Hocini, M. Haïssaguerre, F. Sacher, P. Jaïs
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引用次数: 19

摘要

背景:多极导管越来越多地用于高密度测绘。然而,定义疤痕区域的阈值并没有很好地描述每种配置。我们试图阐明双极间距和取向对匹配磁共振成像定义的疤痕的最佳阈值的影响。方法HD-Grid导管独特地允许不同的空间稳定双极配置进行测试。我们分析了HD-16(沿双极和双极间距均为3mm)和HD-32(沿双极间距为1mm,双极间距为3mm)设置的电图,并确定了6只梗死羊的最佳疤痕检测截止点。结果共456个采集点(平均76±12例),分析了HD-16配置的14 750个点和HD-32配置的32286个点的双极电图。对于双极电压,基于约登指数(Youden's Index)检测磁共振成像定义疤痕的最佳截止值和接收器工作特性曲线下的面积(AUROC)随双极间距和方向的不同而不同;跨越0.84 mV (AUROC, 0.920;95% CI, 0.911-0.928),沿0.76 mV (AUROC, 0.903;95% CI, 0.893-0.912),东北方向0.95 mV (AUROC, 0.923;95% CI, 0.913-0.932),东南方向,0.87 mV (AUROC, 0.906;HD-16的95% CI为0.895-0.917);跨0.83 mV (AUROC, 0.917;95% CI, 0.911-0.924),沿0.46 mV (AUROC, 0.890;95% CI, 0.883-0.897),东北方向0.89 mV (AUROC, 0.923;95% CI, 0.917-0.929),东南方向0.83 mV (AUROC, 0.913;95% CI, 0.906-0.920)。HD-16顺行与横行(P=0.002)、HD-16东北方向与东南方向(P=0.01)、HD-32东北方向与东南方向(P<0.0001)、HD-16顺行与HD-32顺行(P=0.006)之间的AUROC有显著差异。仅选取最佳点进行分析的AUROC显著大于全部点进行分析的AUROC (P<0.01)。结论双极的间距和取向影响疤痕检测的准确性。应确定特定于每种双极配置的最佳阈值。在同一表面上的多个投影点中选择一个最佳电压点对ensite系统来说也是提高疤痕映射精度的关键。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of Spacing and Orientation on the Scar Threshold With a High-Density Grid Catheter.
BACKGROUND Multipolar catheters are increasingly used for high-density mapping. However, the threshold to define scar areas has not been well described for each configuration. We sought to elucidate the impact of bipolar spacing and orientation on the optimal threshold to match magnetic resonance imaging-defined scar. METHOD The HD-Grid catheter uniquely allows for different spatially stable bipolar configurations to be tested. We analyzed the electrograms with settings of HD-16 (3 mm spacing in both along and across bipoles) and HD-32 (1 mm spacing in along bipoles and 3 mm spacing in across bipoles) and determined the optimal cutoff for scar detection in 6 infarcted sheep. RESULTS From 456 total acquisition sites (mean 76±12 per case), 14 750 points with the HD-16 and 32286 points with the HD-32 configuration for bipolar electrograms were analyzed. For bipolar voltages, the optimal cutoff value to detect the magnetic resonance imaging-defined scar based on the Youden's Index, and the area under the receiver operating characteristic curve (AUROC) differed depending on the spacing and orientation of bipoles; across 0.84 mV (AUROC, 0.920; 95% CI, 0.911-0.928), along 0.76 mV (AUROC, 0.903; 95% CI, 0.893-0.912), north-east direction 0.95 mV (AUROC, 0.923; 95% CI, 0.913-0.932), and south-east direction, 0.87 mV (AUROC, 0.906; 95% CI, 0.895-0.917) in HD-16; and across 0.83 mV (AUROC, 0.917; 95% CI, 0.911-0.924), along 0.46 mV (AUROC, 0.890; 95% CI, 0.883-0.897), north-east direction 0.89 mV (AUROC, 0.923; 95% CI, 0.917-0.929), and south-east direction 0.83 mV (AUROC, 0.913; 95% CI, 0.906-0.920) in HD-32. Significant differences in AUROC were seen between HD-16 along versus across (P=0.002), HD-16 north-east direction versus south-east direction (P=0.01), HD-32 north-east direction versus south-east direction (P<0.0001), and HD-16 along versus HD-32 along (P=0.006). The AUROC was significantly larger (P<0.01) when only the best points on each given site were selected for analysis, compared with when all points were used. CONCLUSIONS Spacing and orientation of bipoles impacts the accuracy of scar detection. Optimal threshold specific to each bipolar configuration should be determined. Selecting one best voltage point among multiple points projected on the same surface is also critical on the Ensite-system to increase the accuracy of scar-mapping.
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