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Abstract：
UNASSIGNED: Part of the current stereotactic arrythmia radioablation (STAR) workflow is transfer of findings from the electroanatomic mapping (EAM) to computed tomography (CT). Here, we analyzed inter- and intraobserver variation in a modified EAM-CT registration using automatic registration algorithms designed to yield higher robustness.
UNASSIGNED: This work is based on data of 10 patients who had previously undergone STAR. Two observers participated in this study: (1) an electrophysiologist technician (cardiology) with substatial experience in EAM-CT merge, and (2) a clinical engineer (radiotherapy) with minimum experience with EAM-CT merge. EAM-CT merge consists of 3 main steps: segmentation of left ventricle from CT (CT LV), registration of the CT LV and EAM, clinical target volume (CTV) delineation from EAM specific points. Mean Hausdorff distance (MHD), Dice Similarity Coefficient (DSC) and absolute difference in Center of Gravity (CoG) were used to assess intra/interobserver variability.
UNASSIGNED: Intraobserver variability: The mean DSC and MHD for 3 CT LVs altogether was 0.92 ± 0.01 and 1.49 ± 0.23 mm. The mean DSC and MHD for 3 CTVs altogether was 0,82 ± 0,06 and 0,71 ± 0,22 mm. Interobserver variability: Segmented CT LVs showed great similarity (mean DSC of 0,91 ± 0,01, MHD of 1,86 ± 0,47 mm). The mean DSC comparing CTVs from both observers was 0,81 ± 0,11 and MHD was 0,87 ± 0,45 mm.
UNASSIGNED: The high interobserver similarity of segmented LVs and delineated CTVs confirmed the robustness of the proposed method. Even an inexperienced user can perform a precise EAM-CT merge following workflow instructions.
UNASSIGNED: This work is based on data of 10 patients who had previously undergone STAR. Two observers participated in this study: (1) an electrophysiologist technician (cardiology) with substatial experience in EAM-CT merge, and (2) a clinical engineer (radiotherapy) with minimum experience with EAM-CT merge. EAM-CT merge consists of 3 main steps: segmentation of left ventricle from CT (CT LV), registration of the CT LV and EAM, clinical target volume (CTV) delineation from EAM specific points. Mean Hausdorff distance (MHD), Dice Similarity Coefficient (DSC) and absolute difference in Center of Gravity (CoG) were used to assess intra/interobserver variability.
UNASSIGNED: Intraobserver variability: The mean DSC and MHD for 3 CT LVs altogether was 0.92 ± 0.01 and 1.49 ± 0.23 mm. The mean DSC and MHD for 3 CTVs altogether was 0,82 ± 0,06 and 0,71 ± 0,22 mm. Interobserver variability: Segmented CT LVs showed great similarity (mean DSC of 0,91 ± 0,01, MHD of 1,86 ± 0,47 mm). The mean DSC comparing CTVs from both observers was 0,81 ± 0,11 and MHD was 0,87 ± 0,45 mm.
UNASSIGNED: The high interobserver similarity of segmented LVs and delineated CTVs confirmed the robustness of the proposed method. Even an inexperienced user can perform a precise EAM-CT merge following workflow instructions.
摘要：
■当前的立体定向心律失常（STAR）工作流程的一部分是从电解剖标测（EAM）到计算机断层扫描（CT）的结果转移。这里,我们使用旨在产生更高鲁棒性的自动配准算法,分析了改进的EAM-CT配准中的观察者间和观察者内变化.
■这项工作基于10位先前接受STAR的患者的数据。两名观察员参加了这项研究：（1）在EAM-CT合并方面具有实质性经验的电生理学家（心脏病学），（2）EAM-CT合并经验最少的临床工程师（放疗）。EAM-CT合并包括3个主要步骤：从CT分割左心室（CTLV），CTLV和EAM的配准，从EAM特定点划分临床目标体积（CTV）。平均豪斯多夫距离(MHD),使用骰子相似系数（DSC）和重心绝对差（CoG）来评估观察者内/观察者间的变异性。
■观察者内变异性：3个CTLV的平均DSC和MHD为0.92±0.01和1.49±0.23mm。3个CTV的平均DSC和MHD为0.82±0.06和0.71±0.22mm。观察者间变异性：分段CTLV显示出极大的相似性（平均DSC为0.91±0.01，MHD为1,86±0.47mm）。比较来自两个观察者的CTV的平均DSC为0.81±0.11,MHD为0.87±0.45mm。
■分段的LV和划定的CTV的高观察者间相似性证实了所提出方法的鲁棒性。即使没有经验的用户也可以按照工作流程指令执行精确的EAM-CT合并。
■这项工作基于10位先前接受STAR的患者的数据。两名观察员参加了这项研究：（1）在EAM-CT合并方面具有实质性经验的电生理学家（心脏病学），（2）EAM-CT合并经验最少的临床工程师（放疗）。EAM-CT合并包括3个主要步骤：从CT分割左心室（CTLV），CTLV和EAM的配准，从EAM特定点划分临床目标体积（CTV）。平均豪斯多夫距离(MHD),使用骰子相似系数（DSC）和重心绝对差（CoG）来评估观察者内/观察者间的变异性。
■观察者内变异性：3个CTLV的平均DSC和MHD为0.92±0.01和1.49±0.23mm。3个CTV的平均DSC和MHD为0.82±0.06和0.71±0.22mm。观察者间变异性：分段CTLV显示出极大的相似性（平均DSC为0.91±0.01，MHD为1,86±0.47mm）。比较来自两个观察者的CTV的平均DSC为0.81±0.11,MHD为0.87±0.45mm。
■分段的LV和划定的CTV的高观察者间相似性证实了所提出方法的鲁棒性。即使没有经验的用户也可以按照工作流程指令执行精确的EAM-CT合并。
