腹腔镜解剖学第八节（S8）切除术是一种极具挑战性的肝切除术。增强现实导航（ARN）可结合吲哚菁绿（ICG）荧光成像，在多种复杂肝切除术中应用，并可能在腹腔镜解剖学S8切除术中应用。然而，没有研究探讨如何在腹腔镜解剖学S8切除术中应用ARN加上ICG荧光成像（ARN-FI），也没有探讨其准确性。本研究是对包括临床NaLLRFI试验中31名接受腹腔镜解剖学S8切除术患者的后续分析，每位患者的切除肝脏体积进行了测量。比较了术中安全性和可行性的围手术期参数，以及准确性分析结果。ARN-FI组有16例患者，非ARN-FI组行常规腹腔镜肝切除术的患者有15例。两组基线特征无显著差异。与非ARN-FI组相比，ARN-FI组术中出血更少（中位数125 vs. 300 mL，P = 0.003）。其他术后短期结果无显著差异。准确性分析表明，ARN-FI组实际切除肝脏体积（ARLV）更准确。ARN-FI与术中出血更少和切除体积更准确相关。这些技术可能解决现有的挑战，并为腹腔镜解剖学S8切除术提供合理的指导。© 2023. 外科肿瘤学会。

Laparoscopic anatomical Segment 8 (S8) resection is a highly challenging hepatectomy. Augmented reality navigation (ARN), which could be combined with indocyanine green (ICG) fluorescence imaging, has been applied in various complex liver resections and may also be applied in laparoscopic anatomical S8 resection. However, no study has explored how to apply ARN plus ICG fluorescence imaging (ARN-FI) in laparoscopic anatomical S8 resection, or explored its accuracy.This study is a post hoc analysis that included 31 patients undergoing laparoscopic anatomical S8 resection from the clinical NaLLRFI trial, and the resected liver volume was measured in each patient. The perioperative parameters of safety and feasibility, as well as the accuracy analysis outcomes were compared.There were 16 patients in the ARN-FI group and 15 patients underwent conventional laparoscopic hepatectomy without ARN or fluorescence imaging (non-ARN-FI group). There was no significant difference in baseline characteristics between the two groups. Compared with the non-ARN-FI group, the ARN-FI group had lower intraoperative bleeding (median 125 vs. 300 mL, P = 0.003). No significant difference was observed in other postoperative short-term outcomes. Accuracy analysis indicated that the actual resected liver volume (ARLV) in the ARN-FI group was more accurate.ARN-FI was associated with less intraoperative bleeding and more accurate resection volume. These techniques may address existing challenges and provide rational guidance for laparoscopic anatomical S8 resection.© 2023. Society of Surgical Oncology.