TY - JOUR
T1 - A novel ex vivo trainer for robotic vesicourethral anastomosis
AU - Shee, Kevin
AU - Koo, Kevin
AU - Wu, Xiaotian
AU - Ghali, Fady M.
AU - Halter, Ryan J.
AU - Hyams, Elias S.
N1 - Publisher Copyright:
© 2019, Springer-Verlag London Ltd., part of Springer Nature.
PY - 2020/2/1
Y1 - 2020/2/1
N2 - Robotic surgical skill development is central to training in urology as well as other surgical disciplines. Vesicourethral anastomosis (VUA) in robotic prostatectomy is a challenging task for novices due to delicate tissue and difficult suturing angles. Commercially available, realistic training models are limited. Here, we describe the development and validation of a 3D-printed model of the VUA for ex vivo training using the da Vinci Surgical System. Models of the bladder and urethra were created using 3D-printing technology based on estimations of average in vivo anatomy. 10 surgical residents without prior robotics training were enrolled in the study: 5 residents received structured virtual reality (VR) training on the da Vinci Skills Simulator (“trained”), while the other 5 did not (“untrained”). 4 faculty robotic surgeons trained in robotic urologic oncology (“experts”) were also enrolled. Mean (range) completion percentage was 20% (10–30%), 54% (40–70%), and 96% (85–100%) by the untrained, trained, and expert groups, respectively. Anastomosis integrity was rated as excellent (as opposed to moderate or poor) in 40%, 60%, and 100% of untrained, trained, and expert groups, respectively. Face validity (realism) was rated as 8 of 10 on average by the expert surgeons, each of whom rated the model as a superior training tool to digital VR trainers. Content validity (usefulness) was rated as 10 of 10 by all participants. This is the first reported 3D-printed ex vivo trainer for VUA in robotic prostatectomy validated for use in robotic simulation. The addition of 3D-printed ex vivo training to existing digital simulation technologies may augment and improve robotic surgical education in the future.
AB - Robotic surgical skill development is central to training in urology as well as other surgical disciplines. Vesicourethral anastomosis (VUA) in robotic prostatectomy is a challenging task for novices due to delicate tissue and difficult suturing angles. Commercially available, realistic training models are limited. Here, we describe the development and validation of a 3D-printed model of the VUA for ex vivo training using the da Vinci Surgical System. Models of the bladder and urethra were created using 3D-printing technology based on estimations of average in vivo anatomy. 10 surgical residents without prior robotics training were enrolled in the study: 5 residents received structured virtual reality (VR) training on the da Vinci Skills Simulator (“trained”), while the other 5 did not (“untrained”). 4 faculty robotic surgeons trained in robotic urologic oncology (“experts”) were also enrolled. Mean (range) completion percentage was 20% (10–30%), 54% (40–70%), and 96% (85–100%) by the untrained, trained, and expert groups, respectively. Anastomosis integrity was rated as excellent (as opposed to moderate or poor) in 40%, 60%, and 100% of untrained, trained, and expert groups, respectively. Face validity (realism) was rated as 8 of 10 on average by the expert surgeons, each of whom rated the model as a superior training tool to digital VR trainers. Content validity (usefulness) was rated as 10 of 10 by all participants. This is the first reported 3D-printed ex vivo trainer for VUA in robotic prostatectomy validated for use in robotic simulation. The addition of 3D-printed ex vivo training to existing digital simulation technologies may augment and improve robotic surgical education in the future.
KW - Prostatectomy
KW - Robotic surgery
KW - Simulation
KW - Surgical education
KW - Surgical skills training
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U2 - 10.1007/s11701-019-00926-1
DO - 10.1007/s11701-019-00926-1
M3 - Article
C2 - 30689167
AN - SCOPUS:85061024705
SN - 1863-2483
VL - 14
SP - 21
EP - 27
JO - Journal of Robotic Surgery
JF - Journal of Robotic Surgery
IS - 1
ER -