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Intra-operative ultrasound assessment of the biliary tree during robotic cholecystectomy.

Authors :
Glaysher MA
Beable R
Ball C
Carter NC
Knight BC
Pucher PH
Mercer SJ
van Boxel G
Source :
Journal of robotic surgery [J Robot Surg] 2023 Dec; Vol. 17 (6), pp. 2611-2615. Date of Electronic Publication: 2023 Aug 26.
Publication Year :
2023

Abstract

Image-guided assessment of bile ducts and associated anatomy during laparoscopic cholecystectomy can be achieved with intra-operative cholangiography (IOC) or laparoscopic ultrasound (LUS). Rates of robotically assisted cholecystectomy (RC) are increasing and herein we describe the technique of intra-corporeal biliary ultrasound during RC using the Da Vinci system. For intraoperative evaluation of the biliary tree during RC, in cases of suspected choledocholithiasis, the L51K Ultrasound Probe (Hitachi, Tokyo, Japan) is used. The extrahepatic biliary tree is scanned along its length, capitalising on the benefits of the full range of motion offered by the articulated robotic instruments and integrated ultrasonic image display using TilePro <superscript>TM</superscript> software. Additionally, this technique avoids the additional time and efforts required to undock and re-dock the robot that would otherwise be required for selective IOC or LUS. The average time taken to perform a comprehensive evaluation of the biliary tree, from the hepatic ducts to the ampulla of Vater, is 164.1 s. This assessment is supplemented by Doppler ultrasound, which is used to fully delineate anatomy of the porta hepatis, and accurate measurements of the biliary tree and any ductal stones can be taken, allowing for contemporaneous decision making and management of ductal pathologies. Biliary tract ultrasound has been shown to be equal to IOC in its ability to diagnose choledocholithiasis, but with the additional benefits of being quicker and having higher completion rates. We have described our practice of using biliary ultrasound during robotically assisted cholecystectomy, which is ergonomically superior to LUS, accurate and reproducible.<br /> (© 2023. The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.)

Details

Language :
English
ISSN :
1863-2491
Volume :
17
Issue :
6
Database :
MEDLINE
Journal :
Journal of robotic surgery
Publication Type :
Academic Journal
Accession number :
37632601
Full Text :
https://doi.org/10.1007/s11701-023-01701-z