Validation of a novel robotic-assisted partial nephrectomy surgical training model.
BJU Int
; 110(6): 870-4, 2012 Sep.
Article
em En
| MEDLINE
| ID: mdl-22313582
ABSTRACT
UNLABELLED What's known on the subject? and What does the study add? One area of particular growth for robotic surgery has been partial nephrectomy. Despite a perceived notion that robotic-assisted partial nephrectomy is more easily adaptable compared to laparoscopic partial nephrectomy, there is nonetheless an associated learning curve. Validated training models with a corresponding assessment method for robotic-assisted partial nephrectomy were previously unavailable. We have designed and validated a RAPN surgical model appropriate for resident and fellow training. OBJECTIVE:
To evaluate the face, content and construct validities of a novel ex vivo surgical training model for robotic-assisted partial nephrectomy (RAPN).METHODS:
We prospectively identified participants as novice (not completed any robotic console cases), intermediate (at least one robotic console case but <100 cases), and expert (≥100 robotic console cases). Each participant performed a partial nephrectomy using the da Vinci Si Surgical System on an ex vivo porcine kidney with an embedded Styrofoam ball that mimics a renal tumour. Subjects completed a post-study questionnaire assessing training model realism and utility. Participants were anonymously judged by three expert reviewers using a validated laparoscopic assessment tool. Performance between groups was compared using the tukey-kramer test.RESULTS:
The 46 participants recruited for this study included 24 novices, nine intermediates, and 13 experts. Overall, expert surgeons rated the training model as 'very realistic' (median visual analogue score 7/10) (face validity). Experts also rated the model as an 'extremely useful' training tool for residents (median 9/10) and fellows (9/10) (content validity), although less so for experienced robotic surgeons (5/10). Experts outscored novices on overall performance (P = 0.0002) as well as individual metrics, including 'depth perception,''bimanual dexterity,''efficiency,''tissue handling,''autonomy,''precision,' and 'instrument and camera awareness' (P < 0.05) (construct validity). Experts similarly outperformed intermediates in most metrics (P < 0.05).CONCLUSION:
Our novel ex vivo RAPN surgical model has demonstrated face, content and construct validity. Future development of this model should include simulation of haemostasis management and renal reconstruction.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Robótica
/
Nefrectomia
Tipo de estudo:
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
BJU Int
Assunto da revista:
UROLOGIA
Ano de publicação:
2012
Tipo de documento:
Article
País de afiliação:
Estados Unidos