There has been a recent effort to treat high-risk ventricular tachycardia (VT) patients through radio-ablation. However, manual segmentation of the VT target is complex and time-consuming. This work introduces ASSET, or Auto-segmentation of the Seventeen SEgments for Tachycardia ablation, to aid in radiation therapy (RT) planning. ASSET was retrospectively applied to CTs for 26 thoracic RT patients (13 undergoing VT ablation). The physician-defined parasternal long-axis of the left ventricle (LV) and the axes generated from principal component analysis (PCA) were compared using mean distance to agreement (MDA) and angle of separation. The manually selected right ventricle insertion point and LVs were used to apply the ASSET model to automatically generate the 17 segments of the LV myocardium (LVM). Physician-defined parasternal long-axis differed from PCA by 1.2 ± 0.3 mm MDA and 6.9 ± 0.7 degrees. Segments differed by 0.69 ± 0.29 mm MDA and 0.89 ± 0.03 Dice similarity coefficient. Running ASSET takes <5 min where manual segmentation took >2 h/patient. Agreement between ASSET and expert contours was comparable to inter-observer variability. Qualitative scoring conducted by three experts revealed automatically generated segmentations were clinically useable as-is. ASSET offers efficient and reliable automatic segmentations for the 17 segments of the LVM for target generation in RT planning.
近来,针对高危室性心动过速患者采用放射消融治疗的方法逐渐兴起。然而,手动分割室速靶区过程复杂且耗时。本研究推出了ASSET(心动过速消融十七节段自动分割系统),以辅助放射治疗规划。该系统回顾性应用于26例胸部放疗患者的CT影像(其中13例接受室速消融治疗)。通过平均一致距离和分离角度,比较了医师定义的左心室胸骨旁长轴与主成分分析生成的轴线。利用手动选取的右心室插入点及左心室数据,应用ASSET模型自动生成左心室心肌的17个节段。医师定义的胸骨旁长轴与主成分分析结果的平均一致距离差异为1.2±0.3毫米,角度差异为6.9±0.7度。各节段分割结果的平均一致距离差异为0.69±0.29毫米,戴斯相似系数为0.89±0.03。ASSET运行时间不足5分钟,而手动分割每位患者需超过2小时。ASSET与专家勾画结果的一致性相当于观察者间变异水平。三位专家进行的定性评分显示,自动生成的节段分割结果可直接投入临床使用。ASSET能为放射治疗规划中的靶区生成提供高效可靠的左心室心肌17节段自动分割方案。