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[吲哚菁绿在消化道上段癌手术中的淋巴结图谱绘制]

[ICG lymph node mapping in cancer surgery of the upper gastrointestinal tract].

作者信息

Müller Dolores, Stier Raphael, Straatman Jennifer, Babic Benjamin, Schiffmann Lars, Eckhoff Jennifer, Schmidt Thomas, Bruns Christiane, Fuchs Hans F

机构信息

Klinik und Poliklinik für Allgemein‑, Viszeral‑, Tumor- und Transplantationschirurgie, Uniklinik Köln (AöR), Kerpener Str. 62, 50937, Köln, Deutschland.

出版信息

Chirurgie (Heidelb). 2022 Oct;93(10):925-933. doi: 10.1007/s00104-022-01659-y. Epub 2022 Jun 3.

Abstract

The importance of the assessment of the N‑status in gastric carcinoma, tumors of the gastroesophageal junction and esophageal cancer is undisputed; however, there is currently no internationally validated method for lymph node mapping in esophageal and gastric cancer. Near-infrared fluorescence imaging (NIR) is an innovative technique from the field of vibrational spectroscopy, which in combination with the fluorescent dye indocyanine green (ICG) enables intraoperative real-time visualization of anatomical structures. The ICG currently has four fields of application in oncological surgery: intraoperative real-time angiography for visualization of perfusion, lymphography for visualization of lymphatic vessels, visualization of solid tumors, and (sentinel) lymph node mapping. For imaging of the lymph drainage area and therefore the consecutive lymph nodes, peritumoral injection of ICG must be performed. Several studies have demonstrated the feasibility of peritumoral injection of ICG administered 15 min to 3 days preoperatively with subsequent intraoperative visualization of the lymph nodes. So far prospective randomized studies on the validation of the method are still lacking. In contrast, the use of ICG for lymph node mapping and visualization of sentinel lymph nodes in gastric cancer has been performed in large cohorts as well as in prospective randomized settings. Up to now, multicenter studies for ICG-guided lymph node mapping during oncological surgery of the upper gastrointestinal tract are lacking. Artificial intelligence methods can help to evaluate these techniques in an automated manner in the future as well as to support intraoperative decision making and therefore to improve the quality of oncological surgery.

摘要

评估胃癌、胃食管交界部肿瘤和食管癌中N分期的重要性是无可争议的;然而,目前尚无国际上认可的食管癌和胃癌淋巴结定位方法。近红外荧光成像(NIR)是振动光谱领域的一项创新技术,它与荧光染料吲哚菁绿(ICG)相结合,能够在术中实时可视化解剖结构。ICG目前在肿瘤外科手术中有四个应用领域:用于可视化灌注的术中实时血管造影、用于可视化淋巴管的淋巴造影、实体瘤可视化以及(前哨)淋巴结定位。为了对淋巴引流区域以及后续的淋巴结进行成像,必须在肿瘤周围注射ICG。多项研究已证明在术前15分钟至3天进行肿瘤周围注射ICG并在术中对淋巴结进行可视化的可行性。到目前为止,仍缺乏关于该方法验证的前瞻性随机研究。相比之下,ICG在胃癌的淋巴结定位和前哨淋巴结可视化方面已在大量队列以及前瞻性随机研究中得到应用。目前缺乏关于上消化道肿瘤手术中ICG引导下淋巴结定位的多中心研究。人工智能方法未来可帮助以自动化方式评估这些技术,并支持术中决策,从而提高肿瘤手术的质量。

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