OBJECTIVE: The oncological outcome in patients with bladder cancer (BC) significantly correlates with the quality of transurethral resection of bladder tumors (TUR-BT). Virtual reality (VR) training simulators have been developed to improve surgical skills. We evaluated the advantages and limitations of the novel Uro Trainer (UT) (Karl Storz GmbH, Germany) with respect to training for TUR-BT. DESIGN: Participants underwent VR training based on 4 different TUR-BT cases accompanied by self-assessment and evaluation questionnaires. Results were compared between experienced endourologists and novices, and furthermore, correlated with self-rated capabilities for content and construct validity. Student's t tests, Pearson's correlation, and chi-squared tests were performed for statistical evaluation. SETTING: The study was performed at the tertiary care urological department of the Ludwig-Maximilians-University, Munich, Germany. PARTICIPANTS: A total of 22 urological physicians, including residents and consultants, were included in the study. RESULTS: There is a need to improve TUR-BT training as 27.3% of the participants had already experienced overtaxing situations during TUR-BT and only a few reported of high satisfaction with the classical "see one-do one" teaching mode. Construct validity was demonstrated, as consultants achieved significantly higher overall scores (p < 0.001) and safety (p = 0.004) and visualization (p = 0.001) subscores. Interestingly, the self-assessed capability to perform a TUR-BT correlated significantly (p = 0.01) with overall UT scores. Significant progress of self-rated abilities was shown for several parameters, including inspection (p = 0.046) and resection (p = 0.026). Although participants indicated improvements in several procedural skills and overall benefit of the VR training with the UT was rated 4.6 on a 5-point scale by consultants, limitations of the UT were demonstrated predominantly for tissue feedback and authenticity of different tissue layers. CONCLUSIONS: The novel VR simulator showed a high face and construct validity, and therefore has a great potential to complement endourological training.
OBJECTIVE: The oncological outcome in patients with bladder cancer (BC) significantly correlates with the quality of transurethral resection of bladder tumors (TUR-BT). Virtual reality (VR) training simulators have been developed to improve surgical skills. We evaluated the advantages and limitations of the novel Uro Trainer (UT) (Karl Storz GmbH, Germany) with respect to training for TUR-BT. DESIGN:Participants underwent VR training based on 4 different TUR-BT cases accompanied by self-assessment and evaluation questionnaires. Results were compared between experienced endourologists and novices, and furthermore, correlated with self-rated capabilities for content and construct validity. Student's t tests, Pearson's correlation, and chi-squared tests were performed for statistical evaluation. SETTING: The study was performed at the tertiary care urological department of the Ludwig-Maximilians-University, Munich, Germany. PARTICIPANTS: A total of 22 urological physicians, including residents and consultants, were included in the study. RESULTS: There is a need to improve TUR-BT training as 27.3% of the participants had already experienced overtaxing situations during TUR-BT and only a few reported of high satisfaction with the classical "see one-do one" teaching mode. Construct validity was demonstrated, as consultants achieved significantly higher overall scores (p < 0.001) and safety (p = 0.004) and visualization (p = 0.001) subscores. Interestingly, the self-assessed capability to perform a TUR-BT correlated significantly (p = 0.01) with overall UT scores. Significant progress of self-rated abilities was shown for several parameters, including inspection (p = 0.046) and resection (p = 0.026). Although participants indicated improvements in several procedural skills and overall benefit of the VR training with the UT was rated 4.6 on a 5-point scale by consultants, limitations of the UT were demonstrated predominantly for tissue feedback and authenticity of different tissue layers. CONCLUSIONS: The novel VR simulator showed a high face and construct validity, and therefore has a great potential to complement endourological training.
Authors: Csaba Pinter; Andras Lasso; Saleh Choueib; Mark Asselin; Jean-Christophe Fillion-Robin; Jean-Baptiste Vimort; Ken Martin; Matthew A Jolley; Gabor Fichtinger Journal: IEEE Trans Med Robot Bionics Date: 2020-03-26
Authors: İlkan Tatar; Emre Huri; İlker Selçuk; Young Lee Moon; Alberto Paoluzzi; Andreas Skolarikos Journal: Turk J Med Sci Date: 2019-10-24 Impact factor: 0.973