International Poster Session8 (JDDW)
October 28, 15:12–16:00, Room 15 (Marine Messe Fukuoka Arena Digital Poster Session)
IP-36_S

The feasibility of using EUS (Endoscopic Ultrasound System) in laparoscopic liver surgery

Hisashi Ikoma1
Co-authors: Jun Kiuchi1, Takuma Ohashi1, Hironori Shimizu1, Tomohiro Arita1, Yusuke Yamamoto1, Hirotaka Konishi1, Ryo Morimura1, Atsushi Shiozaki1, Yoshiaki Kuriu1, Takeshi Kubota1, Hitoshi Fujiwara1, Eigo Otsuji1
1
Department of Digestive Surgery, Graduate School of Medical Science, Kyoto Prefectural University of Medicine
【Background】In laparoscopic liver resection (LLR), the surgeon cannot obtain the information needed to perform the resection by tactile sensation. As a means of overcoming this limitation, intraoperative ultrasonography (IOUS) is useful because it can detect the lesion and the vascular vessels that will provide the landmarks for resection. In practice, however, the performance of IOUS has not yet compensated for its disadvantages. There are many issues that need to be resolved, especially in the puncture maneuver, and therefore, the feasibility of an endoscopic ultrasound system (EUS) during LLR was investigated through its use in animals.【Methods】 EUS was used as a detecting and puncturing tool for gallbladder and blood vessels during laparoscopic hepatectomy in swine.After successful puncture, ICG was injected into the object.The ability to observe the fluorescence of the target or the area dominated by the blood vessels was tested.【Results】One puncture of the gallbladder and four punctures of the portal system were successfully performed, and the ICG clearly fluoresced the gallbladder and bile ducts. The areas dominated by the portal vein were clearly stained as fluorescent areas on the liver surface, respectively. Thus, ICG fluorescence imaging of all targets was successful.【Conclusion】 For use in the human body, there remain issues to be cleared, such as economic issues and safety requirements. However, the use of EUS for LLR has the potential to reduce the complexity of LLR.
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