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Real-time navigation for laparoscopic hepatectomy using image fusion of preoperative 3D surgical plan and intraoperative indocyanine green fluorescence imaging

机译:基于术前3D手术方案和术中吲哚菁绿色荧光成像图像融合的腹腔镜肝切除术实时导航

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Background Understanding the internal anatomy of the liver remains a major challenge in anatomical liver resection. Although virtual hepatectomy and indocyanine green (ICG) fluorescence imaging techniques have been widely used in hepatobiliary surgery, limitations in their application for real-time navigation persist. Objective The aim of the present study was to evaluate the feasibility and clinical utility of the novel laparoscopic hepatectomy navigation system (LHNS), which fuses preoperative three-dimensional (3D) models with ICG fluorescence imaging to achieve real-time surgical navigation. Methods We conducted a retrospective review of clinical outcome for 64 patients who underwent laparoscopic hepatectomy from January 2018 to December 2018, including 30 patients who underwent the procedure using the LHNS (LHNS group) and 34 patients who underwent the procedure without LHNS guidance (Non-LHNS group). Results There was no significant difference in preoperative characteristics between the two groups. The LHNS group had a significantly less blood loss (285.0 +/- 163.0 mL vs. 391.1 +/- 242.0 mL; P = 0.047), less intraoperative blood transfusion rate (13.3 vs. 38.2; P = 0.045), and shorter postoperative hospital stay (7.8 +/- 2.1 days vs. 10.6 +/- 3.8 days; P < 0.001) than the Non-LHNS group. There was no statistical difference in operative time and the overall complication rate between the two groups. The liver transection line was clearly delineated by the LHNS in 27 patients; however, the projection of boundary was unclear in 2 cases, and in 1 case, the boundary was not clearly displayed by ICG fluorescence imaging. Conclusions We developed the LHNS to address limitations of current intraoperative imaging systems. The LHNS is hopefully to become a promising real-time navigation system for laparoscopic hepatectomy.
机译:背景:了解肝脏的内部解剖结构仍然是解剖学肝切除术的主要挑战。尽管虚拟肝切除术和吲哚菁绿 (ICG) 荧光成像技术已广泛用于肝胆外科手术,但其在实时导航中的应用仍然存在局限性。目的 探讨将术前三维(3D)模型与ICG荧光成像相结合的新型腹腔镜肝切除术导航系统(LHNS)的可行性和临床应用,实现手术实时导航。方法 回顾性分析2018年1月至2018年12月行腹腔镜肝切除术的64例患者(包括30例采用LHNS行行(LHNS组)的患者和34例无LHNS引导行(非LHNS组)的患者的临床结局。结果 两组患者术前特征差异无统计学意义。LHNS组的失血量显著减少(285.0 +/- 163.0 mL vs. 391.1 +/- 242.0 mL;P = 0.047),术中输血率降低(13.3% vs. 38.2%;P = 0.045),术后住院时间更短(7.8 +/- 2.1 天 vs. 10.6 +/- 3.8 天;P < 0.001)比非LHNS组。两组手术时间及总并发症发生率差异无统计学意义。27例患者肝脏横断线由LHNS清晰划定;然而,2例的边界投影不清晰,1例ICG荧光成像未清晰显示边界。结论 我们开发了LHNS来解决当前术中成像系统的局限性。LHNS有望成为腹腔镜肝切除术的有前途的实时导航系统。

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