Feasibility of Image-guided Navigation with Electromagnetic Tracking During Robot-assisted Sentinel Node Biopsy: A Prospective Study.

Laura Aguilera Saiz, Wouter J Heerink, Harald C Groen, Marijn A J Hiep, Henk G van der Poel, Esther M K Wit, Jakko A Nieuwenhuijzen, Ton A Roeleveld, André N Vis, Maarten L Donswijk, Pim J van Leeuwen, Theo J M Ruers
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Abstract

Background and objective: Image-guided surgical navigation (IGSN) can enhance surgical precision and safety. The expansion of minimally invasive surgery has increased the demand for integration of these navigation systems into robot-assisted surgery. Our objective was to evaluate the integration of electromagnetic tracking with IGSN in robot-assisted sentinel lymph node biopsy (SLNB).

Methods: We conducted a prospective feasibility study to test the use of IGSN in SLNB. In total, 25 patients scheduled for SLNB at The Netherlands Cancer Institute were included (March 2022 to March 2023). SLNB using IGSN was performed using a standardised technique with a da Vinci robot (Intuitive Surgical, Sunnyvale, CA, USA) in four-arm configuration. Feasibility was determined as the percentage of sentinel nodes (SNs) successfully identified via IGSN. Successful SN resection was defined as SNs correctly localised via navigation and validated ex vivo with a gamma probe. Surgeon feedback on the robot-assisted IGSN workflow was evaluated using the System Usability Scale (SUS).

Key findings and limitations: In accordance with the protocol, the first five patients were used for workflow optimisation, and the subsequent 20 patients were included in the analysis. IGSN led to successful identification of 91% (50/55) of the SNs. There were no complications associated with navigation. The surgeon feedback (SUS) was 60.9, with lowest scores reported for the user interface and workflow integration.

Conclusions: IGSN during robot-assisted surgery was feasible and safe. The technique allowed identification and removal of predefined small pelvic lymph nodes.

Patient summary: We carried out a study on the feasibility of imaging-guided navigation in robot-assisted prostate surgery. Our results show that this technique is feasible, safe, and effective.

机器人辅助前哨节点活检过程中电磁跟踪图像导航的可行性:一项前瞻性研究。
背景和目的:图像引导手术导航(IGSN)可提高手术的精确性和安全性。随着微创手术的扩展,将这些导航系统整合到机器人辅助手术中的需求也随之增加。我们的目的是评估电磁追踪与 IGSN 在机器人辅助前哨淋巴结活检(SLNB)中的整合情况:我们进行了一项前瞻性可行性研究,测试 IGSN 在 SLNB 中的应用。共纳入了 25 名计划在荷兰癌症研究所进行 SLNB 的患者(2022 年 3 月至 2023 年 3 月)。使用 IGSN 的 SLNB 是通过达芬奇机器人(Intuitive Surgical, Sunnyvale, CA, USA)四臂配置的标准化技术进行的。可行性根据通过 IGSN 成功确定的前哨结节 (SN) 的百分比确定。成功切除 SN 的定义是通过导航正确定位 SN,并用伽马探针在体外进行验证。外科医生对机器人辅助 IGSN 工作流程的反馈采用系统可用性量表(SUS)进行评估:根据方案,前五名患者用于工作流程优化,随后的 20 名患者纳入分析。IGSN成功识别了91%(50/55)的SN。导航过程中未出现并发症。外科医生反馈(SUS)为60.9分,用户界面和工作流程整合得分最低:结论:机器人辅助手术中的IGSN可行且安全。患者总结:我们对机器人辅助前列腺手术中成像导航的可行性进行了研究。研究结果表明,这项技术是可行、安全和有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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