1Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin.
2German Cancer Consortium (DKTK), Partner Site Berlin, German Cancer Research Center (DKFZ), Heidelberg; and.
Neurosurg Focus. 2024 Dec 1;57(6):E2. doi: 10.3171/2024.9.FOCUS24525.
Robotics in neurosurgery is becoming increasingly prevalent. The integration of intraoperative imaging for patient registration into workflows of newer robotic systems enhances precision and has further driven their widespread adoption. In this study, the authors report on a lightweight, table-mounted robotic system integrating robotic cone-beam CT (CB-CT) for automated patient registration in cranial biopsies and stereotactic electroencephalography (sEEG).
This prospective cohort study included patients who underwent stereotactic biopsy or sEEG with the Cirq system from January 2023 to August 2024. For patient-to-image registration, an external registration matrix was secured near the patient's head before conducting CB-CT with robotic Artis Pheno. CT was then fused with preoperative planning MRI and used as the navigation dataset. Demographic and clinical data were evaluated, and entry and target errors, as well as vector deviation of sEEG electrodes, were assessed and compared with those of patients who underwent biopsies and sEEG with the frameless VarioGuide system.
In 26 Cirq-assisted surgical procedures, robotic CB-CT was used for image registration in 20 cases. Of these, 15 were biopsies (mean ± SD 7 ± 1 specimens) and 5 were sEEG with 31 depth electrodes, compared to 29 VarioGuide biopsies and 3 VarioGuide sEEG cases with 25 electrodes. The mean age was 56 ± 19 years, with a male/female ratio of 1.9:1. Lesion size averaged 19 ± 17 cm3 on T1-weighted imaging and 61 ± 53 cm3 on T2-weighted imaging for Cirq and 14 ± 14 cm3 and 68 ± 47 cm3 for VarioGuide. The mean surgical times were 117 ± 34 minutes for biopsy and 269 ± 54 minutes for sEEG in the Cirq group, with skin-to-skin times of 40 ± 23 minutes for biopsy and 208 ± 74 minutes for sEEG; in comparison, surgical times of 78 ± 21 minutes for biopsy and 218 ± 33 minutes for sEEG were reported with VarioGuide, with skin-to-skin times of 34 ± 13 and 158 ± 27 minutes. No complications occurred. The mean dosage area product was 983 ± 351 µGym2 for biopsies and 1772 ± 968 µGym2 for sEEG. Cirq-assisted sEEG electrodes had mean entry and target errors of 1.4 ± 1.2 mm and 2.6 ± 1.6 mm, compared to 5.3 ± 3.3 mm and 6.5 ± 2.8 mm with VarioGuide. Mean vector deviation was 1.6 ± 0.9 mm with Cirq versus 4.9 ± 2.9 mm with VarioGuide.
The integration of a lightweight, table-mounted robotic alignment tool with intraoperative CB-CT for automated patient-to-image registration enables high precision and a seamless workflow. This combination is safe, has a manageable learning curve, and holds potential to replace traditional frame-based and frameless procedures. Its efficiency and accuracy are likely to contribute to the increasing adoption of robotics in neurosurgery.
神经外科机器人技术的应用日益普及。将术中成像用于患者注册的工作流程与新型机器人系统相结合,提高了精度,并进一步推动了其广泛应用。本研究报告了一种新型的轻型、台式机器人系统,该系统集成了机器人锥形束 CT(CB-CT),用于在颅活检和立体定向脑电图(sEEG)中实现自动患者注册。
本前瞻性队列研究纳入了 2023 年 1 月至 2024 年 8 月期间接受 Cirq 系统辅助的立体定向活检或 sEEG 的患者。对于患者到图像的注册,在进行机器人 Artis Pheno 锥形束 CT 之前,在患者头部附近固定一个外部注册矩阵。然后将 CT 与术前计划 MRI 融合,并作为导航数据集使用。评估了患者的人口统计学和临床数据,并评估和比较了活检和 sEEG 患者的进入和目标误差以及 sEEG 电极的向量偏差,这些患者使用无框 VarioGuide 系统进行了活检和 sEEG。
在 26 例 Cirq 辅助手术中,有 20 例使用机器人 CB-CT 进行图像注册。其中,15 例为活检(平均±标准差 7±1 个标本),5 例为 sEEG 伴 31 个深部电极,而 VarioGuide 活检 29 例,sEEG 病例 3 例,25 个电极。平均年龄为 56±19 岁,男女比例为 1.9:1。Cirq 和 VarioGuide 的 T1 加权成像上病变大小平均为 19±17cm3,T2 加权成像上病变大小平均为 61±53cm3。Cirq 的活检平均手术时间为 117±34 分钟,sEEG 为 269±54 分钟,皮肤到皮肤的时间为 40±23 分钟,sEEG 为 208±74 分钟;相比之下,VarioGuide 的活检平均手术时间为 78±21 分钟,sEEG 为 218±33 分钟,皮肤到皮肤的时间为 34±13 分钟,sEEG 为 158±27 分钟。无并发症发生。活检的平均剂量面积乘积为 983±351µGym2,sEEG 为 1772±968µGym2。Cirq 辅助 sEEG 电极的进入和目标误差平均值分别为 1.4±1.2mm 和 2.6±1.6mm,而 VarioGuide 的平均值分别为 5.3±3.3mm 和 6.5±2.8mm。Cirq 的平均向量偏差为 1.6±0.9mm,而 VarioGuide 的平均向量偏差为 4.9±2.9mm。
将轻型、台式机器人对准工具与术中 CB-CT 集成,用于自动患者到图像的注册,可实现高精度和无缝工作流程。这种组合安全,学习曲线可控,有可能取代传统的基于框架和无框架的手术。其效率和准确性可能有助于神经外科机器人技术的广泛应用。