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Related Experiment Video

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Validation of a 3D-printed robot-assisted partial nephrectomy training model.

Thomas Hermans1, Joren M Snoeks2, Frank Vom Dorp3

  • 1Department of Urology Helios University Hospital Wuppertal, University of Witten/Herdecke Wuppertal Germany.

BJUI Compass
|January 5, 2024
PubMed
Summary
This summary is machine-generated.

A new 3D-printed silicone renal tumor model demonstrates face and content validity for robot-assisted partial nephrectomy training. Surgeons found the model realistic and useful for both training and evaluation, with performance varying by experience level.

Keywords:
3D‐printedGEARS scorepartial nephrectomyrobot‐assisted surgerytraining modelvalidity

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Area of Science:

  • Urology
  • Surgical Education
  • Medical Simulation

Background:

  • Robot-assisted partial nephrectomy is the gold standard for renal tumors but challenging to learn.
  • Enucleation and renorraphy phases require specialized training.
  • A realistic, accessible training model is needed to improve surgical skills.

Purpose of the Study:

  • To evaluate the face, content, and preliminary construct validity of a 3D-printed silicone renal tumor model.
  • To assess the model's utility for training and evaluating surgeons in robot-assisted partial nephrectomy.
  • To compare surgical performance using the model across different experience levels.

Main Methods:

  • Thirty-six surgeons (10-14 per group) with varying experience performed robotic tumor excision on a 3D-printed silicone model.
  • Performance was assessed using surgical margins, excision time, preserved parenchyma, tumor injury, and GEARS scores.
  • Postoperative surveys and NASA-TLX scores evaluated model realism, usefulness, difficulty, and workload.

Main Results:

  • Expert surgeons significantly outperformed beginners on the model.
  • The model was deemed acceptably difficult, with high ratings for realism (6.3/10) and usefulness for training (8.2/10) and evaluation (6.9/10) by experts.
  • GEARS scores showed a non-significant trend of improvement, indicating training potential.

Conclusions:

  • The 3D-printed silicone renal tumor model possesses demonstrated face and content validity.
  • The model is perceived as realistic and valuable for both training and assessment in robot-assisted partial nephrectomy.
  • Further research is needed to confirm construct and predictive validity by comparing real-world surgical outcomes.