Fundamentals of Arthroscopic Surgery Training Program Improves Knee Arthroscopy Simulator Performance in Arthroscopic Trainees.
To determine the effectiveness of a nonanatomic simulator in developing basic arthroscopy motor skills transferable to an anatomic model.
Forty-three arthroscopy novice individuals currently enrolled in medical school were recruited to perform a diagnostic knee arthroscopy using a high-fidelity virtual reality arthroscopic simulator providing haptic feedback after viewing a video of an expert performing an identical procedure. Students were then randomized into an experimental or control group. The experimental group then completed a series of self-guided training modules using the fundamentals of arthroscopy simulator training nonanatomic modules including camera centering, tracking, periscoping, palpation, and collecting stars in a three-dimensional space. Both groups completed another diagnostic knee arthroscopy between 1 and 2 weeks later. Camera path length, time, tibia and femur cartilage damage, as well as a composite score were recorded by the simulator on each attempt.
The experimental group (n = 22) showed superior performance in composite score (30.09 vs 24, P = .046) and camera path length (71.51 cm vs 109.07 cm, P = .0274) at the time of the second diagnostic knee arthroscope compared with the control group (n = 21). The experimental group also showed significantly greater improvement in composite score between the first and second arthroscopes compared with the control group (14.27 vs 4.95, P < .01). Femoral and tibial cartilage damage were not significantly improved between arthroscopy attempts (-0.86% vs -1.45%, P = .40) and (-1.10 vs -1.27%, P = .83), respectively.
The virtual reality-based fundamentals of arthroscopy simulator training nonanatomic simulator is beneficial in developing basic motor skills in arthroscopy novice individuals resulting in significantly greater composite performance in an anatomic knee model. Based on the results of this study, it appears that there may be benefit from nonanatomic simulators in general as part of an arthroscopy training program.
Level II, randomized trial.
Cychosz CC
,Tofte JN
,Johnson A
,Gao Y
,Phisitkul P
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Knee, Shoulder, and Fundamentals of Arthroscopic Surgery Training: Validation of a Virtual Arthroscopy Simulator.
To validate the knee, shoulder, and virtual Fundamentals of Arthroscopic Training (FAST) modules on a virtual arthroscopy simulator via correlations with arthroscopy case experience and postgraduate year.
Orthopaedic residents and faculty from one institution performed a standardized sequence of knee, shoulder, and FAST modules to evaluate baseline arthroscopy skills. Total operation time, camera path length, and composite total score (metric derived from multiple simulator measurements) were compared with case experience and postgraduate level. Values reported are Pearson r; alpha = 0.05.
35 orthopaedic residents (6 per postgraduate year), 2 fellows, and 3 faculty members (2 sports, 1 foot and ankle), including 30 male and 5 female residents, were voluntarily enrolled March to June 2015. Knee: training year correlated significantly with year-averaged knee composite score, r = 0.92, P = .004, 95% confidence interval (CI) = 0.84, 0.96; operation time, r = -0.92, P = .004, 95% CI = -0.96, -0.84; and camera path length, r = -0.97, P = .0004, 95% CI = -0.98, -0.93. Knee arthroscopy case experience correlated significantly with composite score, r = 0.58, P = .0008, 95% CI = 0.27, 0.77; operation time, r = -0.54, P = .002, 95% CI = -0.75, -0.22; and camera path length, r = -0.62, P = .0003, 95% CI = -0.8, -0.33. Shoulder: training year correlated strongly with average shoulder composite score, r = 0.90, P = .006, 95% CI = 0.81, 0.95; operation time, r = -0.94, P = .001, 95% CI = -0.97, -0.89; and camera path length, r = -0.89, P = .007, 95% CI = -0.95, -0.80. Shoulder arthroscopy case experience correlated significantly with average composite score, r = 0.52, P = .003, 95% CI = 0.2, 0.74; strongly with operation time, r = -0.62, P = .0002, 95% CI = -0.8, -0.33; and camera path length, r = -0.37, P = .044, 95% CI = -0.64, -0.01, by training year. FAST: training year correlated significantly with 3 combined FAST activity average composite scores, r = 0.81, P = .0279, 95% CI = 0.65, 0.90; operation times, r = -0.86, P = .012, 95% CI = -0.93, -0.74; and camera path lengths, r = -0.85, P = .015, 95% CI = -0.92, -0.72. Total arthroscopy cases performed did not correlate significantly with overall FAST performance.
We found significant correlations between both training year and knee and shoulder arthroscopy experience when compared with performance as measured by composite score, camera path length, and operation time during a simulated diagnostic knee and shoulder arthroscopy, respectively. Three FAST activities demonstrated significant correlations with training year but not arthroscopy case experience as measured by composite score, camera path length, and operation time.
We attempt to validate an arthroscopy simulator that could be used to supplement arthroscopy skills training for orthopaedic residents.
Tofte JN
,Westerlind BO
,Martin KD
,Guetschow BL
,Uribe-Echevarria B
,Rungprai C
,Phisitkul P
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