Neurosurgical virtual reality simulation metrics to assess psychomotor skills during brain tumor resection

• DOI: 10.1007/s11548-014-1091-z
• Publication Date: 2014-06-26T01:24:00Z
• Authors: Hamed Azarnoush; Gmaan Alzhrani; Alexander Winkler...; Fahad Alotaibi; Nicholas Gelinas-...; Valérie Pazos; Nusrat Choudhury; Jawad Fares; Robert DiRaddo; Rolando F. Del Ma...
• Keywords: NeuroTouch; Brain Neoplasms; Virtual reality neurosurgical simulation; Pilot Projects; Brain tumor resection; Neurosurgical Procedures; 3. Good health; User-Computer Interface; 03 medical and health sciences; Neurosurgical oncology; 0302 clinical medicine; Performance metrics; Humans; Computer Simulation; Clinical Competence; Haptic feedback; Psychomotor Performance

Virtual reality simulator technology together with novel metrics could advance our understanding of expert neurosurgical performance and modify and improve resident training and assessment. This pilot study introduces innovative metrics that can be measured by the state-of-the-art simulator to assess performance. Such metrics cannot be measured in an operating room and have not been used previously to assess performance.Three sets of performance metrics were assessed utilizing the NeuroTouch platform in six scenarios with simulated brain tumors having different visual and tactile characteristics. Tier 1 metrics included percentage of brain tumor resected and volume of simulated "normal" brain tissue removed. Tier 2 metrics included instrument tip path length, time taken to resect the brain tumor, pedal activation frequency, and sum of applied forces. Tier 3 metrics included sum of forces applied to different tumor regions and the force bandwidth derived from the force histogram.The results outlined are from a novice resident in the second year of training and an expert neurosurgeon. The three tiers of metrics obtained from the NeuroTouch simulator do encompass the wide variability of technical performance observed during novice/expert resections of simulated brain tumors and can be employed to quantify the safety, quality, and efficiency of technical performance during simulated brain tumor resection. Tier 3 metrics derived from force pyramids and force histograms may be particularly useful in assessing simulated brain tumor resections.Our pilot study demonstrates that the safety, quality, and efficiency of novice and expert operators can be measured using metrics derived from the NeuroTouch platform, helping to understand how specific operator performance is dependent on both psychomotor ability and cognitive input during multiple virtual reality brain tumor resections.