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Research Article

Development of simulated arthroscopic skills

A randomized trial of virtual-reality training of 21 orthopedic surgeons

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Pages 90-95 | Received 26 Nov 2009, Accepted 30 Aug 2010, Published online: 01 Feb 2011
 

Abstract

Background and purpose Previous studies have shown that there is a correlation between arthroscopic experience and performance on a virtual-reality (VR) unit. We analyzed the development inexperienced surgeons went through during VR training of shoulder arthroscopy.

Methods 14 inexperienced surgeons from Silkeborg Regional Hospital were randomized into an intervention group and a control group. 7 experienced surgeons constituted another control group. All were tested twice on insightMIST—an advanced arthroscopic VR trainer—within a period of 6–15 days. The intervention group also received a 5-hour training program on the VR unit.

Results The average time for the arthroscopy in the intervention group was reduced from 720 (SD 239) seconds to 223 (SD 114) seconds (p = 0.03 compared to the inexperienced control group). Distance travelled by the camera was reduced from 367 (SD 151) cm to 84 (SD 44) cm in the intervention group (p = 0.02 compared to the inexperienced control group). Depth of collisions was also significantly reduced, whereas distance travelled by the probe and number of collisions were improved in the intervention group, although not statistically significantly.

Interpretation VR training is a possible way for young and inexperienced surgeons to achieve basic navigation skills necessary to perform arthroscopic surgery. Further studies regarding the transferability of the skills acquired on the VR unit to the operating theater are desirable.

All authors contributed to conception and design of the study. Education on the VR unit was conducted by MV and CA. Data collection and writing of the manuscript was mainly done by CA assisted by MV. Analysis and interpretation of data was mainly done by TW.

The authors thank Dr Lars Hoej, CEPOME, for giving editorial advice and Niels Trolle of the Department of Biostatistics, University of Aarhus, for help with data analysis.

No competing interests declared.