增强现实导航联合荧光腹腔镜技术在肝中叶肿瘤切除术中的应用
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1安徽医科大学第五临床医学院,安徽 合肥 230000;2皖南医学院第一附属医院 肝胆外科,安徽 芜湖 241000

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沈正超,皖南医学院第一附属医院副主任医师,主要从事肝胆胰外科临床与基础方面的研究。

基金项目:

安徽省卫生健康中青年科研基金资助项目(AHWJ2024Aa30111);安徽省临床医学研究转化专项基金资助项目(202427b10020049);安徽省高校自然科学研究重大基金资助项目(2023AH040254)。


Application of augmented reality navigation combined with indocyanine green fluorescence imaging in laparoscopic resection of central hepatic tumors
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1The Fifth Clinical Medical College, Anhui Medical University, Hefei 230000, China;2Department of Hepatobiliary Surgery, the First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui 241000, China

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    摘要:

    背景与目的 肝中叶肿瘤解剖位置复杂,邻近第一、第二肝门及重要肝静脉系统,腹腔镜下精准定位肿瘤边界及关键脉管结构难度较大。单纯依赖术中超声或吲哚菁绿荧光成像(ICG-FI)存在深部结构显示不足等局限。本文旨在探讨增强现实(AR)导航联合ICG-FI技术在腹腔镜肝中叶肿瘤切除术中的临床应用价值。方法 回顾性分析2022年5月—2025年3月皖南医学院第一附属医院肝胆外科应用AR导航联合ICG-FI技术行腹腔镜肝中叶肿瘤切除术的38例患者临床资料。观察术中导航效果、手术相关指标及围手术期结局。结果 38例患者均顺利完成手术,无中转开腹。肿瘤荧光显影率为100%。平均手术时间为(324.9±132.4)min,中位术中出血量为400(50~1 200)mL。平均配准误差为(6.3±0.6)mm。中位预测血管数为6(4~8)条,中位验证血管数为7(5~10)条。所有患者均实现R0切除,平均切缘宽度为(1.5±0.5)cm。术后并发症发生率为13.2%,无腹腔出血、气体栓塞或肝衰竭等严重并发症。中位术后住院时间为9(4~20)d。中位随访时间20个月,未见肿瘤复发。结论 AR导航联合ICG-FI技术可在腹腔镜肝中叶肿瘤切除术中实现对关键脉管结构的术中预测与验证,精准控制肝切除平面,提高R0切除率及手术安全性,具有良好的临床应用前景。

    Abstract:

    Background and Aims Laparoscopic resection of centrally located hepatic tumors remains technically demanding due to the complex anatomical relationships with major vascular structures. Conventional intraoperative ultrasound or indocyanine green fluorescence imaging (ICG-FI) alone has limitations, particularly in visualizing deep anatomical structures. This study aimed to evaluate the clinical value of augmented reality (AR) navigation combined with ICG-FI in laparoscopic resection of central hepatic tumors.Methods A retrospective analysis was conducted on 38 consecutive patients who underwent laparoscopic resection of central hepatic tumors guided by AR navigation combined with ICG-FI between May 2022 and March 2025. Intraoperative navigation performance, surgical parameters, and perioperative outcomes were assessed.Results All 38 procedures were completed laparoscopically without conversion. The intraoperative tumor fluorescence detection rate was 100%. The mean operative time was (324.9 ± 132.4) min, and the median intraoperative blood loss was 400 (50-1 200) mL. The mean registration error was (6.3±0.6) mm. The median number of predicted and verified vessels was 6 (4-8) and 7 (5-10), respectively. R0 resection was achieved in all patients, with a mean surgical margin of (1.5±0.5) cm. The postoperative complication rate was 13.2%, with no severe complications such as intra-abdominal hemorrhage, gas embolism, or liver failure. The median postoperative hospital stay was 9 (4-20) days. During a median follow-up of 20 months, no tumor recurrence was observed.Conclusion The combined use of AR navigation and ICG-FI enables intraoperative prediction and verification of critical vascular structures and facilitates precise control of the transection plane in laparoscopic resection of central hepatic tumors. This technique improves surgical precision and safety and shows promising clinical potential.

    图1 术前切除平面模拟 A-B:肝中叶肿瘤与周围血管之间的关系;C:三维重建中肿瘤与门静脉之间的关系(RPPV:门静脉右后支,P8:Ⅷ段门静脉支,P5d:V段门静脉背侧支);D:肿瘤与肝静脉之间的关系(MHV:肝中静脉,V5:MHV V段分支,V4a:MHV IVa段分支,V4b:MHV IVb段分支);E:肿瘤位于肝中叶(V、Ⅷ段);F:术前模拟切除路径[① 经肝门板寻找右前肝蒂,沿肝蒂主干探查肿瘤右侧边界及V、Ⅷ段肝蒂情况,离断Ⅷ段肝蒂;② 左侧切缘沿MHV开始切肝;③ 沿MHV主干解剖肝组织,在根部寻找肝右静脉(RHV);④ 沿RHV从头侧到尾侧分离肝组织,至切除肝中叶肿瘤]Fig.1 Preoperative simulation of the resection plane A-B: Relationship between the central hepatic tumor and surrounding vessels; C: Relationship between the tumor and the portal vein in three-dimensional reconstruction (RPPV: right posterior portal vein; P8: segment Ⅷ portal branch; P5d: dorsal branch of segment V portal vein); D: Relationship between the tumor and hepatic veins (MHV: middle hepatic vein; V5: segment V branch of MHV; V4a: segment IVa branch of MHV; V4b, segment IVb branch of MHV); E: Tumor located in the central liver (segments V and Ⅷ); F: Simulated resection pathway [① the right anterior hepatic pedicle was identified via the hepatic plate; along the main trunk of the pedicle, the right boundary of the tumor and the pedicles of segments V and Ⅷ were explored, and the segment Ⅷ pedicle was divided; ② parenchymal transection was initiated from the left margin along the course of the MHV; ③ the liver parenchyma was dissected along the main trunk of the MHV toward its root, where the right hepatic vein (RHV) was identified; ④ the liver parenchyma was then dissected along the RHV from the cranial to the caudal direction until complete resection of the central hepatic tumor was achieved]
    图2 验证血管及调整肝切除平面 A-B:沿右前肝蒂主干向深部分离,发现分别走向Ⅷ段和Ⅴ段背侧的血管分支,借助AR导航技术,确认P8及P5d,离断S8段肝蒂,并注意保护P5d;C:沿MHV远端切开肝实质后,显露其远端分支,但术中难以判断该分支位于MHV左侧或右侧;D:经AR导航实时比对,识别该分支为V4b;E:沿此分支右侧进一步解剖,见一粗大静脉贴邻肿瘤,荧光腹腔镜下可见肿瘤与该静脉关系密切;F:再次通过AR导航确认该静脉为MHV主干,随即调整切肝平面,转为沿MHV左侧分离,最终离断受压迫的MHV段Fig.2 Intraoperative verification of vessels and adjustment of the transection plane A-B: Identification of P8 and P5d along the right anterior pedicle using AR navigation, with division of the S8 pedicle and preservation of P5d; C: Exposure of a distal MHV branch after parenchymal transection; D: Identification of the branch as V4b by AR comparison; E: A large vein adjacent to the tumor observed under fluorescence mode; F: Confirmation of the MHV trunk by AR and adjustment of the transection plane
    图3 预测血管 A-B:离断MHV后,通过AR融合画面,预测在远端有汇入MHV的第Ⅷ段腹侧分支血管V8i,通过仔细分离出V8i,并予以离断;C-D:发现RHV后,预测汇入RHV的第Ⅷ段背侧分支血管V8d,沿RHV主干逐步游离后发现V8d,避免了血管损伤导致的出血Fig.3 Intraoperative prediction of vascular branches using AR fusion imaging A-B: Prediction and identification of V8i draining into the MHV, followed by careful dissection and division; C-D: Prediction and identification of V8d draining into the RHV, preventing vascular injury
    表 3 38例患者的术后资料Table 3 The postoperative data of the 38 patients
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沈正超,陈志远,奚士航,潘璇,钱道海,MUHAMMAD Danish Irshad,王小明.增强现实导航联合荧光腹腔镜技术在肝中叶肿瘤切除术中的应用[J].中国普通外科杂志,2026,35(1):88-96.
DOI:10.7659/j. issn.1005-6947.250468

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  • 收稿日期:2025-08-21
  • 最后修改日期:2026-01-19
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  • 在线发布日期: 2026-03-04