Guan Jiafu, Liang Rongyuan, Peng Yonghai, Yu Xin, Yuan Rongfa, Hu Zhigang, Wu Huajun, Zhou Binghai, Qiu Yumin, Wang Kai
Hepato-Biliary-Pancreatic Surgery Division, Department of General Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Jiangxi Provincial Clinical Research Center for General Surgery Disease, Nanchang, China.
Glob Health Med. 2025 Aug 31;7(4):315-323. doi: 10.35772/ghm.2025.01077.
Identification of a tumor-bearing portal territory using indocyanine green (ICG) fluorescence imaging (IGFI) facilitates precise laparoscopic anatomic hepatectomy (LAH). However, it is technically challenging to perform a transhepatic portal injection of ICG or to clamp the target portal pedicle and inject ICG during LAH. Herein, we aimed to investigate the feasibility and efficacy of portal territory identification using IGFI under the combined guidance of three-dimensional (3D) virtual imaging and intraoperative ultrasound (IOUS) in LAH. We enrolled patients eligible for LAH in the current study between June 2020 and April 2023. All patients had preoperative surgical planning based on 3D virtual imaging in which the boundaries of the tumor-bearing portal territory were displayed and the predicted remnant liver volumes (PRLVs) were calculated. We then conducted ICG fluorescence liver-segment staining and LAH under the combined guidance of 3D virtual imaging and IOUS. Actual remnant liver volumes (ARLVs) were calculated using 3D virtual imaging after surgery. Of the 73 patients who achieved a valid demarcation by IGFI, 14 (19.2%) underwent hemi-hepatectomy, while 19 (26%) and 40 (54.8%) underwent sectionectomy and segmentectomy, respectively. The IGFI-identified intraoperative hepatic segment boundaries were highly matched with the boundaries of the tumor-bearing portal territory in the 3D virtual images in 72 (98.6%) patients, and we observed that the ARLVs and PRLVs were also robustly correlated ( = 0.8734, < 0.0001). In summary, 3D virtual imaging and IOUS contribute significantly to the staining and identification of a tumor-bearing portal territory and the accurate implementation of LAH.
使用吲哚菁绿(ICG)荧光成像(IGFI)识别荷瘤门静脉区域有助于精准腹腔镜解剖性肝切除术(LAH)。然而,在LAH期间经肝门静脉注射ICG或夹闭目标门静脉蒂并注射ICG在技术上具有挑战性。在此,我们旨在研究在三维(3D)虚拟成像和术中超声(IOUS)联合引导下,使用IGFI识别门静脉区域在LAH中的可行性和有效性。我们纳入了2020年6月至2023年4月期间符合LAH条件的患者进行本研究。所有患者均基于3D虚拟成像进行术前手术规划,其中显示了荷瘤门静脉区域的边界并计算了预测残余肝体积(PRLV)。然后,我们在3D虚拟成像和IOUS的联合引导下进行ICG荧光肝段染色和LAH。术后使用3D虚拟成像计算实际残余肝体积(ARLV)。在通过IGFI实现有效划分的73例患者中,14例(19.2%)接受了半肝切除术,而19例(26%)和40例(54.8%)分别接受了肝段切除术和肝叶切除术。在72例(98.6%)患者中,IGFI识别的术中肝段边界与3D虚拟图像中荷瘤门静脉区域边界高度匹配,并且我们观察到ARLV与PRLV也具有很强的相关性( = 0.8734, < 0.0001)。总之,3D虚拟成像和IOUS对荷瘤门静脉区域的染色和识别以及LAH的准确实施有显著贡献。