Learning Curves of Robot-assisted Laparoscopic Surgery Compared With Conventional Laparoscopic Surgery: An Experimental Study Evaluating Skill Acquisition of Robot-assisted Laparoscopic Tasks Compared With Conventional Laparoscopic Tasks in Inexperienced Users. .

J.W.M. Heemskerk*, W. van Gemert, J. de Vries, J.W. Greve, N.D. Bouvy

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review


PG - 171-174 AB - BACKGROUND: Laparoscopic surgery can be demanding, resulting in longer operating time and a longer time before reaching proficiency compared with open surgery. Robotic assistance allows stereoscopic vision and improves dexterity, potentially leading to faster and safer laparoscopic surgery and a shortening of the learning curve. METHODS: Duration and accuracy were measured in inexperienced participants, performing basic and advanced laparoscopic tasks using both conventional laparoscopy and the daVinci Surgical System. RESULTS: Eight participants performed 176 laparoscopic tasks. Robotic assistance resulted in faster and more accurate performance of laparoscopic tasks. However, conventional laparoscopy showed faster skill acquisition. CONCLUSIONS: Robotic assistance resulted in faster and more accurate performance of laparoscopic tasks. However, learning curves favored conventional laparoscopy. These data suggest robotic assistance might be most beneficial in inexperienced subjects. The relatively flat learning curve in robot-assisted laparoscopy suggests robotic assistance might be less (or marginally) beneficial in experienced surgeons. This could explain why robotic assistance has failed to show clear benefit in several clinical studies. Extensive conventional laparoscopic training might lead to faster, safer, and less expensive surgery, further marginalizing the role for robotic assistance in laparoscopic surgery
Original languageEnglish
Pages (from-to)171-174
JournalSurgical Laparoscopy Endoscopy & percutaneous techniques
Issue number3
Publication statusPublished - 1 Jan 2007

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