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Human versus robotic organ retraction during laparoscopic Nissen fundoplication

Authors :
Benjamin Poulouse
Aaron Barnes
Russell H. Taylor
Mario Mendoza-Sagaon
Mark A. Talamini
Calvin Yang
M.F. Kutka
Source :
Medical Image Computing and Computer-Assisted Intervention — MICCAI’98 ISBN: 9783540651369, MICCAI
Publication Year :
1998
Publisher :
Springer Berlin Heidelberg, 1998.

Abstract

Advances in technique and instrumentation have enabled surgeons to perform a growing array of procedures through laparoscopy. However, these efforts have often been compromised by exerting excessive forces during retraction of the structures necessary for anatomical view. Here, we present a comparative study of human and robotic performance in force controlled organ retraction during laparoscopic Nissen fundoplication (LNF). Six female pigs (20–25 kg) were anesthetized, intubated, placed on mechanical ventilation, and pneumoperitoneum (13mm Hg CO2) was established. A force sensing retractor (FSR) was constructed to record the forces applied in retracting the stomach during dissection of the esophageal hiatus (EH). The FSR was calibrated using known forces and then operated by either human alone or robot under human guidance using the FSR data. The EH was visualized, dissected, and LNF completed. Less force was utilized with robotic (74.3±10.5 grams) versus human (108.9±34.3 grams) retraction (p=0.007) to obtain proper anatomical view of the EH. No significant differences were observed for retraction setup time (robot 14.3±0.8 minutes and human 13.7±9.9 minutes) or hiatal dissection time (robot 14.0±3.0 minutes and human 14.0±6.1 minutes). These preliminary results present our continuing effort to develop and evaluate an automated surgical assistant for laparoscopy. As increasingly advanced, personnel-intensive laparoscopic procedures are performed, robotic retraction may present a superior alternative to human retraction by minimizing the forces exerted on organs yet maintaining excellent anatomical view.

Details

ISBN :
978-3-540-65136-9
ISBNs :
9783540651369
Database :
OpenAIRE
Journal :
Medical Image Computing and Computer-Assisted Intervention — MICCAI’98 ISBN: 9783540651369, MICCAI
Accession number :
edsair.doi...........4c915e5ba0ffacab22c2f0de40d54ab0
Full Text :
https://doi.org/10.1007/bfb0056202