北京大学学报(医学版) ›› 2019, Vol. 51 ›› Issue (5): 973-976. doi: 10.19723/j.issn.1671-167X.2019.05.031

• 技术方法 • 上一篇    下一篇

机器人辅助三叉神经半月节的穿刺精度研究

朱建华,王晶,刘筱菁,郭传瑸()   

  1. 北京大学口腔医学院·口腔医院,口腔颌面外科 国家口腔疾病临床医学研究中心 口腔数字化医疗技术和材料国家工程实验室 口腔数字医学北京市重点实验室, 北京 100081
  • 收稿日期:2017-08-28 出版日期:2019-10-18 发布日期:2019-10-23
  • 通讯作者: 郭传瑸 E-mail:guodazuo@sina.com
  • 基金资助:
    国家高技术研究发展计划(863计划)(,2012AA041606和北京市科技计划Z141100002014003);北京市科技计划(Z141100002014003)

Accuracy analysis of robotic assistant needle placement for trigeminal gasserian ganglion

Jian-hua ZHU,Jing WANG,Xiao-jing LIU,Chuan-bin GUO()   

  1. Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
  • Received:2017-08-28 Online:2019-10-18 Published:2019-10-23
  • Contact: Chuan-bin GUO E-mail:guodazuo@sina.com
  • Supported by:
    Supported by the National High Technology Research and Development Program of China (863 Program)(,2012AA041606和北京市科技计划Z141100002014003);the Beijing Science and Technology Project(Z141100002014003)

RICH HTML

  

摘要:

目的:验证自主研发的穿刺机器人辅助三叉神经半月节穿刺的精确性及可行性。方法:使用仿真头颅模型作为研究对象,橡皮泥模拟软组织,术前对模型进行锥形束CT(cone beam CT, CBCT)扫描,将影像数据导入计算机的术前设计系统,分割卵圆孔作为目标点,选取“皮肤进针点”后生成穿刺路径。将模型固定于模拟手术床的实验台,使用点配准的方式完成系统配准,发送穿刺路径数据至机器人控制器,经过医生确认穿刺路径后,在导航引导下机器人系统自动完成穿刺手术操作。穿刺完成后导航仪获取针尖即刻位置坐标,通过配准矩阵转换,计算针尖点与设计靶点的几何距离对穿刺精度进行术中验证,将穿刺针从执行器末端松解,对模型进行CBCT扫描再次获取术后图像数据,将术前、术后头颅进行图像融合,选取术后图像中针尖坐标数据,经过配准矩阵转换,计算针尖点与设计靶点的几何距离进行术后精度验证。采用IBM SPSS Statistics 20统计软件,以配对t检验方法对术中导航验证精度与术后图像融合验证精度进行统计学分析。结果:20例穿刺手术均一次成功穿过卵圆孔,术中导航验证平均穿刺误差为(0.56±0.07) mm,术后图像融合验证平均穿刺误差为(1.49±0.14) mm,差异有统计学意义(P<0.001)。结论:机器人辅助三叉神经半月节穿刺手术高效、可靠,导航精度是影响机器人辅助穿刺手术的重要因素。

关键词: 机器人, 手术, 计算机辅助, 三叉神经痛

Abstract:

Objective: To evaluate the accuracy and feasibility of a custom robot system guided by optical navigation for needle puncture on trigeminal gasserian ganglion. Methods: A synthetic human skull model was used, with plasticine placed around the skull base to imitate the human soft tissue. Cone beam CT (CBCT) scanning was performed before the operation. With image data transferred to the graphical user interface of the computer workstation, the oval foramen was selected as the target and the “skin entry point” was also determined by the surgeon on the surgical planning software. Thus the needle trajectory was eventually planned. The skull model was fixed firmly to the trial table with a head clamp and relative size of the trial table was the same as a standard operating table. Following point-based registration, the data were sent to the robot control unit. Only after the surgeon’s confirmation, the needle was automatically inserted into the intended target by the robot guided by optical navigation. When the procedure was completed, the instantaneous data of the needle tip orientation acquired by navigation system was sent back to the computer workstation for accuracy verification by calculating the geometric distance between the needle tip and the planning target after matrix transformation. Subsequently, after the needle had been released, CBCT scanning was also acquired to make image fusion of the preoperative skull and the postoperative skull. The data of the needle tip orientation was acquired on the postoperative image and the accuracy was re-verified by calculating the geometric distance between the needle tip and the planning target after matrix transformation. IBM SPSS Statistics 20 was used for statistical analysis and the paired t-test was used to compare the differences in the accuracy measured by the intraoperative navigation and postoperative image fusion. Results:All 20 interventions were successfully located in oval foramen at the first needle insertion. The mean deviation of the needle tip was (0.56±0.07) mm (measured by the navigation system) and (1.49±0.14) mm (measured by the image fusion), respectively (P<0.001). Conclusion: The experimental results show the robot system is efficient and reliable. The navigation accuracy is one of the most significant factors in robotic procedures.

Key words: Robotics, Surgery, computer-assisted, Trigeminal neuralgia

中图分类号: 

  • R745.11

图1

机器人系统 (A为光学导航仪,B为计算机工作站,C为机器人装置)"

图2

闭合回路控制"

图3

术前(银色)、术后(棕绿色)头颅图像融合 (紫色线型为设计路径,棕绿色线性物体为穿刺针)"

图4

针尖偏移误差"

[1] van Kleef M, van Genderen WE, Narouze S , et al. 1. Trigeminal neuralgia[J]. Pain Pract, 2009,9(4):252-259.
[2] 邵君飞, 王海秋, 姚建社 , 等. CAS-R-2型机器人导航下射频治疗三叉神经痛的基础与临床研究[J]. 临床神经外科杂志, 2006,3(2):70-72.
[3] Bale RJ, Laimer I, Martin A , et al. Frameless stereotactic cannulation of the foramen ovale for ablative treatment of trigeminal neuralgia[J]. Neurosurgery, 2006,59(2):394-401.
[4] Caversaccio M, Zulliger D, Bächler R , et al. Practical aspects for optimal registration (matching) on the lateral skull base with an optical frameless computer-aided pointer system[J]. Am J Otol, 2000,21(6):863-870.
[5] Bae KH, Lichti DD . A method for automated registration of unorganised point clouds[J]. ISPRS J Photogramm, 2008,63(1):36-54.
[6] 张杰, 孟箭, 庄乾伟 , 等. 三维CT引导下经卵圆孔穿刺射频治疗三叉神经痛[J]. 口腔颌面外科杂志, 2016,26(4):285-289.
[7] 卢光, 陶蔚, 朱宏伟 , 等. 神经导航引导经皮穿刺三叉神经半月节射频热凝治疗三叉神经痛的研究[J]. 临床神经外科杂志, 2013,10(6):341-343.
[8] Masamune K, Fichtinger G, Patriciu A , et al. System for robotically assisted percutaneous procedures with computed tomography guidance[J]. Comput Aided Surg, 2001,6(6):370-383.
[9] Aghayev E, Ebert LC, Christe A , et al. CT data-based navigation for post-mortem biopsy: a feasibility study[J]. J Forensic Leg Med, 2008,15(6):382-387.
[10] Penzkofer T, Isfort P, Bruners P , et al. Robot arm based flat panel CT-guided electromagnetic tracked spine interventions: phantom and animal model experiments[J]. Eur Radiol, 2010,20(11):2656-2662.
[11] Dogangil G, Davies BL, Rodriguez YBF . A review of medical robotics for minimally invasive soft tissue surgery[J]. Proc Inst Mech Eng H, 2010,224(5):653-679.
[12] Simone C, Okamura AM. Modeling of needle insertion forces for robot-assisted percutaneous therapy [C]// Proceedings of the 2002 IEEE International Conference on Robotics and Automation, ICRA 2002, Washington, DC, USA. IEEE, 2002: 2085-2091.
[13] Kataoka H, Washio T, Audette M, et al. A model for relations between needle deflection, force, and thickness on needle penetration [C]// International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Berlin, Heidelberg, 2001: 966-974.
[14] Luebbers HT, Messmer P, Obwegeser JA , et al. Comparison of different registration methods for surgical navigation in cranio-maxillofacial surgery[J]. J Craniomaxillofac Surg, 2008,36(2):109-116.
[15] Raabe A, Krishnan R, Wolff R , et al. Laser surface scanning for patient registration in intracranial image-guided surgery[J]. Neurosurgery, 2002,50(4):802-803.
[16] Schlaier J, Warnat J, Brawanski A . Registration accuracy and practicability of laser-directed surface matching[J]. Comput Aided Surg, 2002,7(5):284-290.
[17] Bao N, Chen Y, Yue Y , et al. Fiducial markers configuration optimization in image-guided surgery[J]. Biomed Mater Eng, 2014,24(6):3361-3371.
[1] 步召德, 冯梦宇, 季科. 早期胃癌行前哨淋巴结导航手术的实践与思考[J]. 北京大学学报(医学版), 2026, 58(2): 239-243.
[2] 高加勒, 张忠涛. 局部进展期直肠癌精准治疗现状与展望[J]. 北京大学学报(医学版), 2026, 58(2): 247-250.
[3] 付浩, 申潞艳, 黄冰洋, 马少华. 免疫治疗背景下食管鳞状细胞癌围手术期治疗的临床思考[J]. 北京大学学报(医学版), 2026, 58(2): 266-271.
[4] 李斌, 梁寒. 机器人胃癌根治术:研究进展与实践挑战[J]. 北京大学学报(医学版), 2026, 58(2): 416-422.
[5] FarinEbrahimi, 冯志强, FarazEbrahimi, 韩玮华, 于子杨, 贾宽宽, 安金刚. 上颌药物相关性颌骨坏死的不同分期手术治疗效果[J]. 北京大学学报(医学版), 2026, 58(1): 107-114.
[6] 于录, 吴灵, 刘筱菁, 李自力. 基于数据库相似性检索的正颌外科手术规划技术流程可行性研究: 随机对照试验[J]. 北京大学学报(医学版), 2026, 58(1): 145-152.
[7] 唐仁韬, 杨流畅, 聂杰, 王晓燕. 无窦型与有窦型根管治疗后慢性根尖周炎根管外菌群的组成及差异[J]. 北京大学学报(医学版), 2026, 58(1): 43-49.
[8] 王晓林, 郭邵逸, 陈大召, 温锡杰, 华勇, 张亮, 张秦. 全髋关节置换术治疗系统性红斑狼疮继发股骨头缺血性坏死的随访研究[J]. 北京大学学报(医学版), 2025, 57(6): 1081-1088.
[9] 李浙民, 季加孚, 李国新, 李子禹, 步召德, 高翔宇, 董迪, 唐磊, 邢晓芳, 贾淑芹, 郭婷, 张连海, 陕飞, 季鑫, 王安强. 胃癌精准诊疗技术的创建与推广[J]. 北京大学学报(医学版), 2025, 57(5): 864-867.
[10] 李博闻, 张强, 孙益鑫. 儿童及青年漏斗胸患者Nuss术后发生脊柱侧弯的风险预测模型建立及验证[J]. 北京大学学报(医学版), 2025, 57(5): 941-946.
[11] 李宗瀚, 黄洋阅, 李宁, 李明磊, 宋宏程, 张潍平, 刘超. 国产单孔蛇形臂机器人手术系统在儿童肾盂成形术中的应用[J]. 北京大学学报(医学版), 2025, 57(4): 662-665.
[12] 张启鸣, 陈泽波, 田雨, 潘大猛, 刘磊, 张洪宪, 赵磊, 张树栋, 马潞林, 侯小飞. 机器人辅助腹腔镜移植肾切除术经验总结[J]. 北京大学学报(医学版), 2025, 57(4): 666-669.
[13] 左超, 王国立, 杨昆霖, 车新艳, 孟一森, 张凯. 前列腺体积不同的患者经尿道光纤铥激光前列腺剜除术的有效性及安全性比较[J]. 北京大学学报(医学版), 2025, 57(4): 711-716.
[14] 张铃福, 王港, 侯纯升, 崔龙, 王立新, 凌晓锋, 徐智. 腹腔镜下改良经胆囊管胆管引流术在胆石症治疗及胆道疾病诊断中的应用[J]. 北京大学学报(医学版), 2025, 57(4): 748-752.
[15] 刘世豪, 徐丽清, 李新飞, 杨昆霖, 李兆莹, 张子博, 王祥, 傅炜骁, 李志华, 李学松. 国产模块化手术机器人系统辅助肾盂成形术的可行性和安全性评价[J]. 北京大学学报(医学版), 2025, 57(4): 779-783.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!