Duan Xingguang, He Rui, Jiang Yu, Cui Fei, Wen Hao, Chen Xiangqian, Hao Zhexue, Zeng Yuan, Liu Hui, Shi Jipeng, Cheong Houiam, Dong Mengxing, U Kaicheng, Jiang Shunjun, Wang Wei, Liang Hengrui, Liu Jun, He Jianxing
School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China.
School of Medical Technology, Beijing Institute of Technology, Beijing, China.
Quant Imaging Med Surg. 2023 Dec 1;13(12):8020-8030. doi: 10.21037/qims-23-716. Epub 2023 Oct 19.
Robot-assisted surgery (RAS) systems have been developed but rarely applied to lung nodule localization. This study aimed to assess the feasibility and safety of using a robot-assisted navigation system in percutaneous lung nodule localization.
A computed tomography (CT)-guided robot-assisted navigation system was used to localize the simulated peripheral nodule in the swine lung through fluorescent agent injection. After the localization, fluorescent thoracoscopic wedge resection was performed. The deviation between the target point and the needle tip was measured using a professional 3-dimensional (3D) distance measurement software. The primary outcome was the localization accuracy (deviation) of the localization. The secondary outcomes were the localization-related complication rate, the localization duration, and the success rate.
A total of 4 pigs were enrolled, and 20 peripheral lung nodules were created and localized successfully. All nodules underwent subsequent wedge resection for verification. The mean deviation by measuring the 3D distance was 3.81 mm [standard deviation (SD): 1.29 mm, 95% confidence interval (CI): 2.936-4.536 mm]. The technical success rate for localization was 100%, and the mean localization time was 14.69 minutes (SD: 4.67 minutes). The complication rate was 5% (1/20), with 1 pneumothorax after localization, and no mortality occurred.
This pilot animal study demonstrated the promising potential of the robot-assisted navigation technique in peripheral lung nodule localization, with high accuracy and feasibility. Further clinical trials are needed to validate its safety compared to traditional manual localization.
机器人辅助手术(RAS)系统已被研发出来,但很少应用于肺结节定位。本研究旨在评估使用机器人辅助导航系统进行经皮肺结节定位的可行性和安全性。
采用计算机断层扫描(CT)引导的机器人辅助导航系统,通过注射荧光剂对猪肺中的模拟周边结节进行定位。定位后,进行荧光胸腔镜楔形切除术。使用专业的三维(3D)距离测量软件测量目标点与针尖之间的偏差。主要结局是定位的准确性(偏差)。次要结局是与定位相关的并发症发生率、定位持续时间和成功率。
共纳入4头猪,成功创建并定位了20个周边肺结节。所有结节均接受后续楔形切除术以进行验证。通过测量3D距离得出的平均偏差为3.81毫米[标准差(SD):1.29毫米,95%置信区间(CI):2.936 - 4.536毫米]。定位的技术成功率为100%,平均定位时间为14.69分钟(SD:4.67分钟)。并发症发生率为5%(1/20),定位后出现1例气胸,无死亡病例。
这项初步动物研究证明了机器人辅助导航技术在周边肺结节定位方面具有广阔的潜力,具有较高的准确性和可行性。与传统手动定位相比,需要进一步的临床试验来验证其安全性。