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Updated: Apr 7, 2026

Robotic Left Hepatectomy using Indocyanine Green Fluorescence Imaging for an Intrahepatic Complex Biliary Cyst
Published on: June 24, 2022
Fusion Surgery-Driven Robotic Right Colectomy With Intracorporeal Functional End-to-End Anastomosis Using the
Yoshiaki Fujimoto1, Takuya Honboh1, Shuto Nakashima1
1Department of Surgery, Saiseikai Fukuoka General Hospital, Fukuoka, Japan.
Background:
Intracorporeal anastomosis (IA) offers advantages in terms of wound morbidity and recovery during minimally invasive right colectomy; however, intracorporeal functional end-to-end anastomosis (FEEA) remains a technically demanding procedure. We developed a standardized fusion surgery workflow that integrates the double-bipolar method (DBM), powered stapling, and indocyanine green (ICG)-guided perfusion assessment to enhance the procedural stability and role clarity during intracorporeal reconstruction.
Methods:
This single-center retrospective study included 35 consecutive patients who underwent robotic right colectomy with intracorporeal FEEA using DBM. The primary outcomes were feasibility, descriptive safety, and workflow adherence. The secondary outcomes included operative metrics and postoperative recovery.
Results:
All 35 procedures were completed robotically without conversion or workflow deviation. The median operative and console times were 221 and 146 min, respectively. No anastomotic leaks or reoperations occurred. Postoperative ileus, superficial surgical site infection, and major complications (Clavien-Dindo ≥ IIIa) each occurred in one patient (2.9%). The median hospital stay was 6 days.
Conclusions:
In this consecutive single-center series, the structured fusion surgery workflow for robotic right colectomy with intracorporeal FEEA was feasible and descriptively safe. These findings suggest that a standardized workflow integrating DBM-based exposure, powered stapling, and perfusion assessment may facilitate stable intracorporeal reconstruction in experienced robotic settings, warranting further prospective validation.

