Indocyanine Green–Guided Lymphadenectomy During Robot-Assisted Pylorus and Vagus Nerve Preserving Gastrectomy for Early Gastric Cancer: A Single-Centre Study

IF 2.1 3区医学 Q2 SURGERY

International Journal of Medical Robotics and Computer Assisted Surgery Pub Date : 2025-10-03 DOI:10.1002/rcs.70116

Yichuan Fan, Chi Zhang, Pin Liang, Xiang Hu

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Abstract

Background

Near-infrared (NIR) fluorescence imaging with indocyanine green (ICG) has been recently introduced for lymphatic mapping in robotic gastrectomy.

Methods

Sixty-two patients with early gastric cancer (EGC) were divided into three groups, namely ICG-guided robotic group (G1; n = 18), conventional robotic group (G2; n = 24), and laparoscopic control group (control; n = 20). The primary endpoints were retrieved LNs, surgical outcomes, and postoperative complications.

Results

The G1 group retrieved more total LNs than the other two groups; however, this difference was not statistically significant (19.8 vs. 16.1 vs. 16.9, p = 0.197). However, there were statistical differences in perigastric LNs (15 vs. 10.5 vs. 11, p = 0.010). The G1 group had shorter surgical time than G2 (260 vs. 300 min, p < 0.05).

Conclusion

ICG guided technology aids in achieving a more precise regional LN dissection during robotic gastrectomy for EGC, and is a valuable advancement for gastric cancer surgery.

Clinical trial registration

Chinese Clinical Trial Registry (ChiCTR2500106082)

Abstract Image

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机器人辅助幽门和迷走神经保留胃切除术期间的吲哚菁绿引导淋巴结切除术：一项单中心研究

近红外（NIR）荧光成像与吲哚菁绿（ICG）最近被引入到机器人胃切除术的淋巴定位。方法将62例早期胃癌（EGC）患者分为ig引导机器人组（G1组，n = 18）、常规机器人组（G2组，n = 24）和腹腔镜对照组（对照组，n = 20）。主要终点为检索LNs、手术结果和术后并发症。结果G1组总回收量高于其他两组；然而，这一差异无统计学意义（19.8比16.1比16.9,p = 0.197）。然而，胃周ln有统计学差异（15 vs. 10.5 vs. 11, p = 0.010）。G1组手术时间短于G2组（260 vs 300 min, p < 0.05）。结论在机器人胃切除术中，ICG引导技术有助于实现更精确的区域淋巴结清扫，是胃癌手术的重要进展。中国临床试验注册中心（ChiCTR2500106082）

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来源期刊

International Journal of Medical Robotics and Computer Assisted Surgery 医学-外科

CiteScore

4.50

自引率

12.00%

发文量

131

审稿时长

6-12 weeks

期刊介绍： The International Journal of Medical Robotics and Computer Assisted Surgery provides a cross-disciplinary platform for presenting the latest developments in robotics and computer assisted technologies for medical applications. The journal publishes cutting-edge papers and expert reviews, complemented by commentaries, correspondence and conference highlights that stimulate discussion and exchange of ideas. Areas of interest include robotic surgery aids and systems, operative planning tools, medical imaging and visualisation, simulation and navigation, virtual reality, intuitive command and control systems, haptics and sensor technologies. In addition to research and surgical planning studies, the journal welcomes papers detailing clinical trials and applications of computer-assisted workflows and robotic systems in neurosurgery, urology, paediatric, orthopaedic, craniofacial, cardiovascular, thoraco-abdominal, musculoskeletal and visceral surgery. Articles providing critical analysis of clinical trials, assessment of the benefits and risks of the application of these technologies, commenting on ease of use, or addressing surgical education and training issues are also encouraged. The journal aims to foster a community that encompasses medical practitioners, researchers, and engineers and computer scientists developing robotic systems and computational tools in academic and commercial environments, with the intention of promoting and developing these exciting areas of medical technology.