Hecko Jan, Knybel Lukas, Rybar Marian, Penhaker Marek, Jiravsky Otakar, Neuwirth Radek, Sramko Marek, Haskova Jana, Kautzner Josef, Cvek Jakub
Department of Cardiology, Podlesi Hospital, Trinec, Czech Republic.
VŠB-Technical University of Ostrava, Ostrava, Czech Republic.
Rep Pract Oncol Radiother. 2024 Jul 22;29(3):280-289. doi: 10.5603/rpor.100387. eCollection 2024.
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.
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.
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.
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.
当前立体定向心律失常射频消融术(STAR)工作流程的一部分是将电解剖标测(EAM)的结果转移至计算机断层扫描(CT)。在此,我们使用旨在提高稳健性的自动配准算法,分析了改良EAM-CT配准中观察者间和观察者内的差异。
本研究基于10例先前接受过STAR治疗的患者的数据。两名观察者参与了本研究:(1)一名在EAM-CT融合方面有丰富经验的电生理技术员(心脏病学专业),以及(2)一名在EAM-CT融合方面经验最少的临床工程师(放射治疗专业)。EAM-CT融合包括3个主要步骤:从CT中分割左心室(CT LV)、CT LV与EAM的配准、从EAM特定点勾勒临床靶区(CTV)。使用平均豪斯多夫距离(MHD)、骰子相似系数(DSC)和重心绝对差(CoG)来评估观察者内/间的变异性。
观察者内变异性:3个CT LV的平均DSC和MHD分别为0.92±0.01和1.49±0.23毫米。3个CTV的平均DSC和MHD分别为0.82±0.06和0.71±0.22毫米。观察者间变异性:分割后的CT LV显示出高度相似性(平均DSC为0.91±0.01,MHD为1.86±0.47毫米)。比较两名观察者CTV的平均DSC为0.81±0.11,MHD为0.87±0.45毫米。
分割后的LV和勾勒出的CTV在观察者间具有高度相似性,证实了所提方法的稳健性。即使是经验不足的用户,按照工作流程说明也能精确地进行EAM-CT融合。