三维虚拟成像联合术中超声指导解剖性肝段切除术肝染色的效果评价。

IF 1.4 Q3 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Jiafu Guan, Rongyuan Liang, Yonghai Peng, Xin Yu, Rongfa Yuan, Zhigang Hu, Huajun Wu, Binghai Zhou, Yumin Qiu, Kai Wang
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引用次数: 0

摘要

使用吲吲吲胺绿(ICG)荧光成像(IGFI)识别肿瘤门静脉区域有助于精确的腹腔镜解剖性肝切除术(LAH)。然而,在经肝门静脉注射ICG或夹紧目标门静脉蒂并在LAH期间注射ICG在技术上具有挑战性。在此,我们旨在探讨在三维(3D)虚拟成像和术中超声(IOUS)联合指导下使用IGFI识别门静脉区域的可行性和有效性。我们在2020年6月至2023年4月期间招募了符合LAH条件的患者。所有患者术前手术计划均基于三维虚拟成像,显示肿瘤门静脉区域边界并计算预测残肝体积(prlv)。然后在3D虚拟成像和IOUS联合指导下进行ICG荧光肝段染色和LAH。术后采用三维虚拟成像计算实际残肝体积(arlv)。在通过IGFI实现有效划分的73例患者中,14例(19.2%)行半肝切除术,19例(26%)和40例(54.8%)分别行部分切除术和节段切除术。72例(98.6%)患者术中igfi识别的肝段边界与三维虚拟图像中载瘤门静脉区域边界高度吻合,我们观察到arlv和prlv也具有强相关性(r 2 = 0.8734, p < 0.0001)。总之,3D虚拟成像和白条对肿瘤门静脉区域的染色和识别以及LAH的准确实施有重要贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An evaluation of the effectiveness of 3D virtual imaging combined with intraoperative ultrasonography to guide liver staining in anatomic segmental hepatectomy.

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 (r 2 = 0.8734, p < 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.

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