IEEE Trans Biomed Eng. 2021 Oct;68(10):2957-2964. doi: 10.1109/TBME.2021.3056749. Epub 2021 Sep 20.
Laser interstitial thermal therapy (LiTT) isa minimally invasive alternative to conventional open surgery for drug-resistant focal mesial temporal lobe epilepsy (MTLE). Recent studies suggest that higher seizure freedom rates are correlated with maximal ablation of the mesialhippocampal head, whilst sparing of the parahippocampal gyrus (PHG) may reduce neuropsychological sequelae. Current commercially available laser catheters are inserted following manually planned straight-line trajectories, which cannot conform to curved brain structures, such as the hippocampus, without causing collateral damage or requiring multiple insertions.
The clinical feasibility and potential of curved LiTT trajectories through steerable needles has yet to be investigated. This is the focus of our work.
We propose a GPU-accelerated computer-assisted planning (CAP) algorithm for steerable needle insertions that generates optimized curved 3D trajectories with maximal ablation of the amygdalohippocampal complex and minimal collateral damage to nearby structures, while accounting for a variable ablation diameter ( 5-15 mm).
Simulated trajectories and ablations were performed on 5 patients with mesial temporal sclerosis (MTS), which were identified from a prospectively managed database. The algorithm generated obstacle-free paths with significantly greater target area ablation coverage and lower PHG ablation variance compared to straight line trajectories.
The presented CAP algorithm returns increased ablation of the amygdalohippocampal complex, with lower patient risk scores compared to straight-line trajectories.
This is the first clinical application of preoperative planning for steerable needle based LiTT. This study suggests that steerableneedles have the potential to improve LiTT procedure efficacy whilst improving the safety and should thus be investigated further.
尚未研究通过可转向针进行曲线激光间质热疗(LiTT)轨迹的临床可行性和潜力。这是我们工作的重点。
我们提出了一种用于可转向针插入的 GPU 加速计算机辅助规划(CAP)算法,该算法可生成优化的曲线 3D 轨迹,在最大程度地消融杏仁核 - 海马复合体的同时,对附近结构的最小的附带损伤,同时考虑到可变的消融直径(5-15mm)。
在 5 名有内侧颞叶硬化症(MTS)的患者中进行了模拟轨迹和消融,这些患者是从前瞻性管理的数据库中确定的。与直线轨迹相比,该算法生成了无障碍路径,目标区域消融覆盖率显著提高,PHG 消融方差降低。
与直线轨迹相比,所提出的 CAP 算法可增加对杏仁核 - 海马复合体的消融,同时降低患者风险评分。
这是术前规划用于基于可转向针的 LiTT 的首次临床应用。这项研究表明,可转向针有可能提高 LiTT 程序的疗效,同时提高安全性,因此应进一步研究。