Simulation training of laparoscopic biliary-enteric anastomosis with a 3D-printed model leads to better skill transfer: a randomized controlled trial.

International journal of surgery (London, England)(2024)

引用 0|浏览4
暂无评分
摘要
AIM:A new simulation model and training curriculum for laparoscopic bilioenteric anastomosis has been developed. Currently, this concept lacks evidence for the transfer of skills from simulation to clinical settings. This study was conducted to determine whether training with a 3D bilioenteric anastomosis model result in greater transfer of skills than traditional training methods involving video observation and a general suture model. METHODS:Fifteen general surgeons with no prior experience in laparoscopic biliary-enteric anastomosis were included in this study and randomised into three training groups: video observation only, practice using a general suture model, and practice using a 3D printed biliary-enteric anastomosis model. Following five training sessions, each surgeon was asked to perform a laparoscopic biliary-enteric anastomosis procedure on an isolated swine organ model. The operative time and performance scores of the procedure were recorded and compared among the three training groups. RESULTS:The operation time in the 3D printed model group was significantly shorter than the suture and video observation groups (P=0.040). Furthermore, the performance score of the 3D printed model group was significantly higher than those of the suture and video observation groups (P=0.001). Finally, the goal score for laparoscopic biliary-enteric anastomosis in the isolated swine organ model was significantly higher in the 3D model group than in the suture and video observation groups (P=0.004). CONCLUSIONS:The utilisation of a novel 3D-printed model for simulation training in laparoscopic biliary-enteric anastomosis facilitates improved skill acquisition and transferability to an animal setting compared with traditional training techniques.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要