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本文引用的文献

1
Anatomical Resection Improved the Outcome of Intrahepatic Cholangiocarcinoma: A Propensity Score Matching Analysis of a Retrospective Cohort.解剖性切除改善肝内胆管癌的预后:一项回顾性队列的倾向评分匹配分析
J Oncol. 2022 Oct 25;2022:4446243. doi: 10.1155/2022/4446243. eCollection 2022.
2
The Tokyo 2020 terminology of liver anatomy and resections: Updates of the Brisbane 2000 system.《东京 2020 肝脏解剖和肝切除术术语:布里斯班 2000 系统更新》。
J Hepatobiliary Pancreat Sci. 2022 Jan;29(1):6-15. doi: 10.1002/jhbp.1091. Epub 2021 Dec 20.
3
Laparoscopic anatomical liver resection guided by real-time indocyanine green fluorescence imaging: experience and lessons learned from the initial series in a single center.实时吲哚菁绿荧光成像引导腹腔镜解剖性肝切除术:单中心初步系列经验与教训。
Surg Endosc. 2020 Oct;34(10):4683-4691. doi: 10.1007/s00464-020-07691-5. Epub 2020 Jun 4.
4
Accuracy of actual resected liver volume in anatomical liver resections guided by 3-dimensional parenchymal staining using fusion indocyanine green fluorescence imaging.使用融合吲哚菁绿荧光成像的三维实质染色引导下解剖性肝切除术中实际切除肝体积的准确性
J Surg Oncol. 2018 Dec;118(7):1081-1087. doi: 10.1002/jso.25258. Epub 2018 Oct 7.
5
[Application of liver three-dimensional visualization technologies in the treatment planning of hepatic malignant tumor].肝脏三维可视化技术在肝脏恶性肿瘤治疗规划中的应用
Zhonghua Wai Ke Za Zhi. 2017 Dec 1;55(12):916-922. doi: 10.3760/cma.j.issn.0529-5815.2017.12.008.
6
Prognostic factors after curative resection hepatocellular carcinoma and the surgeon's role.肝细胞癌根治性切除术后的预后因素及外科医生的作用。
Ann Surg Treat Res. 2017 Nov;93(5):252-259. doi: 10.4174/astr.2017.93.5.252. Epub 2017 Oct 27.
7
Portal vein territory identification using indocyanine green fluorescence imaging: Technical details and short-term outcomes.使用吲哚菁绿荧光成像识别门静脉区域:技术细节与短期结果
J Surg Oncol. 2017 Dec;116(7):921-931. doi: 10.1002/jso.24752. Epub 2017 Jul 10.
8
Surgery for Intermediate and Advanced Hepatocellular Carcinoma: A Consensus Report from the 5th Asia-Pacific Primary Liver Cancer Expert Meeting (APPLE 2014).中晚期肝细胞癌的外科治疗:第五届亚太原发性肝癌专家会议(APPLE 2014)共识报告
Liver Cancer. 2016 Oct;5(4):245-256. doi: 10.1159/000449336. Epub 2016 Sep 14.
9
Liver planning software accurately predicts postoperative liver volume and measures early regeneration.肝脏规划软件能准确预测术后肝脏体积并测量早期肝脏再生情况。
J Am Coll Surg. 2014 Aug;219(2):199-207. doi: 10.1016/j.jamcollsurg.2014.02.027. Epub 2014 Mar 27.
10
Propensity score analysis demonstrated the prognostic advantage of anatomical liver resection in hepatocellular carcinoma.倾向评分分析显示了肝切除术在肝细胞癌中的预后优势。
World J Gastroenterol. 2014 Mar 28;20(12):3335-42. doi: 10.3748/wjg.v20.i12.3335.

3D虚拟成像联合术中超声引导解剖性肝段切除术肝染色效果的评估

An evaluation of the effectiveness of 3D virtual imaging combined with intraoperative ultrasonography to guide liver staining in anatomic segmental hepatectomy.

作者信息

Guan Jiafu, Liang Rongyuan, Peng Yonghai, Yu Xin, Yuan Rongfa, Hu Zhigang, Wu Huajun, Zhou Binghai, Qiu Yumin, Wang Kai

机构信息

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.

出版信息

Glob Health Med. 2025 Aug 31;7(4):315-323. doi: 10.35772/ghm.2025.01077.

DOI:10.35772/ghm.2025.01077
PMID:40895381
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12390776/
Abstract

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.

摘要

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。