Validation of a novel robotic-assisted partial nephrectomy surgical training model

Area of Science:

• Urology
• Surgical Innovation
• Medical Education

Background:

• Robotic-assisted partial nephrectomy (RAPN) is a growing surgical field with an associated learning curve.
• Validated training models and assessment methods for RAPN were previously unavailable.
• This study addresses the need for effective training tools in robotic partial nephrectomy.

Purpose of the Study:

• To evaluate the face, content, and construct validity of a novel ex vivo surgical training model for robotic-assisted partial nephrectomy (RAPN).

Main Methods:

• Prospective study involving 46 participants (novice, intermediate, expert) performing RAPN on a porcine kidney model.
• Participants used the da Vinci Si Surgical System; performance was assessed using a validated laparoscopic tool.
• Surveys evaluated the model's realism and utility; performance differences between skill groups were analyzed.

Main Results:

• The ex vivo model demonstrated face validity, with experts rating it as 'very realistic'.
• It showed content validity, being rated as 'extremely useful' for training residents and fellows.
• Construct validity was confirmed as experts significantly outperformed novices and intermediates in key surgical metrics.

Conclusions:

• The developed ex vivo RAPN surgical model possesses face, content, and construct validity.
• This validated model is suitable for training novice and intermediate robotic surgeons.
• Future iterations should incorporate simulation of haemostasis and renal reconstruction.