Ebihara Yuma, Kurashima Yo, Murakami Soichi, Shichinohe Toshiaki, Hirano Satoshi
Department of Gastroenterological Surgery II, Faculty of Medicine, Hokkaido University, Sapporo, Japan.
J Minim Access Surg. 2022 Oct-Dec;18(4):619-621. doi: 10.4103/jmas.jmas_223_21.
Splenic infarction (SI) following gastrectomy is common; severe complications related to SI, such as splenic haemorrhage, abscess formation or rupture, can be fatal. To overcome these problems, we performed real-time vessel navigation using indocyanine green (ICG) fluorescence during robotic distal gastrectomy (RDG). The aim of study is to report the efficacy of robotic real-time vessel navigation for lymph node dissection (LND) along left gastroepiploic vessels (LGEVs). We treated seven patients with gastric cancer who underwent LND along the LGEVs using robotic real-time vessel navigation during RDG at our institution from January 2021 to July 2021. There were no complications (Clavien-Dindo classification II). There were no cases of post-operative SI or spleen-related complications. Robotic real-time vessel navigation using ICG for LND along LGEVs during RDG could help to reduce post-operative spleen-related complications associated with RDG.
胃切除术后脾梗死(SI)很常见;与脾梗死相关的严重并发症,如脾出血、脓肿形成或破裂,可能会致命。为克服这些问题,我们在机器人远端胃切除术(RDG)期间使用吲哚菁绿(ICG)荧光进行实时血管导航。本研究的目的是报告机器人实时血管导航用于沿胃网膜左血管(LGEV)进行淋巴结清扫(LND)的疗效。2021年1月至2021年7月,我们对7例在我院接受RDG期间使用机器人实时血管导航沿LGEV进行LND的胃癌患者进行了治疗。无并发症(Clavien-Dindo分类II级)。无术后脾梗死或脾脏相关并发症病例。在RDG期间使用ICG进行机器人实时血管导航沿LGEV进行LND有助于减少与RDG相关的术后脾脏相关并发症。