Tele-robotic distal gastrectomy with lymph node dissection on a cadaver

Author:

Ebihara Yuma1,Hirano Satoshi1,Kurashima Yo1,Takano Hironobu1,Murakami Soichi1,Shichinohe Toshiaki1,Morohashi Hajime2,Oki Eiji3,Hakamada Kenichi2,Ikeda Norihiko4,Mori Masaki5

Affiliation:

1. Hokkaido University Faculty of Medicine

2. Hirosaki University Graduate School of Medicine

3. Kyushu University

4. Tokyo Medical University

5. Tokai University School of Medicine

Abstract

Abstract Purpose Robotic telesurgery is growing in popularity; however, it has not yet been validated for gastrointestinal cancer surgery. The purpose of this study is to evaluate the performance of tele-robotic distal gastrectomy (tele-RDG) with lymph node dissection (LND) using a novel Japanese-made surgical robot hinotori™ (Medicaroid, Kobe, Japan) in a cadaver with a presumptive gastric cancer.Methods The Cadaveric Anatomy and Surgical Training laboratory (CAST-Lab.) at Hokkaido University and Kushiro City General Hospital (KCGH) are connected by a guaranteed type line (1 Gbps), and the distance between the two facilities is 250 km. The communication system was conducted over a commercial general line and used hinotori™. A patient cart was installed at CAST-Lab, and a surgeon cockpit was installed at KCGH. Tele-RDG with D2 LND was performed on an adult human cadavers. The evaluation methods included round-trip time (RTT), operation time, Robot Usability Score (RUS), system usability scale (SUS), Global Evaluative Assessment of Robotic Skills (GEARS), and System and Piper Fatigue Scale-12 (PFS-12).Results In all surgical processes, the communication environment was stable without image degradation, and the mean RTT was 40 ms (36.5–55 ms). For tele-RDG with D2 LND, the operation time was 199 min. without any organ injury or technical problems, and the technical evaluation scores (GEARS:28, GOALS:23), usability scores (RUS:34, SUS:82.5), and surgeon fatigue scores (PFS-12:26) were acceptable.Conclusion Tele-RDG with LND using hinotori ™ was feasible and similar to local robotic RDG.

Publisher

Research Square Platform LLC

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